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*Unverified author*

R Software Module

rwasp_One Factor ANOVA.wasp

Title produced by software

One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)

Date of computation

Thu, 07 Nov 2013 09:12:59 -0500

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/07/t1383834047r7j1tyllxxytt5f.htm/, Retrieved Thu, 02 May 2024 17:38:42 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=223312, Retrieved Thu, 02 May 2024 17:38:42 +0000

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User-defined keywords

Estimated Impact

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA wit...] [2009-11-29 13:09:19] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   PD  [Chi Square Measure of Association- Free Statistics Software (Calculator)] [One Way ANOVA for...] [2009-12-01 13:05:10] [3fdd735c61ad38cbc9b3393dc997cdb7]
- R P     [Chi Square Measure of Association- Free Statistics Software (Calculator)] [CARE date with Tu...] [2009-12-01 18:33:48] [98fd0e87c3eb04e0cc2efde01dbafab6]
-   P       [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [CARE Data with Tu...] [2010-11-23 12:09:38] [3fdd735c61ad38cbc9b3393dc997cdb7]
- RM          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [IQ and Mothers Age] [2011-11-21 16:34:08] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R  D          [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [One Way Anova - M...] [2013-11-07 12:03:36] [de71ad234e1fcf902aeedb0f63626fdf]
-    D              [One-Way-Between-Groups ANOVA- Free Statistics Software (Calculator)] [MWARM30 vs MC30VRB] [2013-11-07 14:12:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 5 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223312&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]5 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223312&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223312&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	5 seconds
R Server	'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

ANOVA Model
MWARM30 ~ MC30VRB
means	1.5	1.5	1	0.5	1.1	0.5	0.3	0.7	1.5	-0.167	0.8	0.5	0.4	0.346	1.5	0.667	0.885	0.5	0.5	0.5	0.3	0.167	0.071	-0.25	0.833	0.5

\begin{tabular}{lllllllll}
\hline
ANOVA Model \tabularnewline
MWARM30  ~  MC30VRB \tabularnewline
means & 1.5 & 1.5 & 1 & 0.5 & 1.1 & 0.5 & 0.3 & 0.7 & 1.5 & -0.167 & 0.8 & 0.5 & 0.4 & 0.346 & 1.5 & 0.667 & 0.885 & 0.5 & 0.5 & 0.5 & 0.3 & 0.167 & 0.071 & -0.25 & 0.833 & 0.5 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223312&T=1

[TABLE]
[ROW]ANOVA Model[/C][/ROW]
[ROW]MWARM30  ~  MC30VRB[/C][/ROW]
[ROW][C]means[/C][C]1.5[/C][C]1.5[/C][C]1[/C][C]0.5[/C][C]1.1[/C][C]0.5[/C][C]0.3[/C][C]0.7[/C][C]1.5[/C][C]-0.167[/C][C]0.8[/C][C]0.5[/C][C]0.4[/C][C]0.346[/C][C]1.5[/C][C]0.667[/C][C]0.885[/C][C]0.5[/C][C]0.5[/C][C]0.5[/C][C]0.3[/C][C]0.167[/C][C]0.071[/C][C]-0.25[/C][C]0.833[/C][C]0.5[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223312&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223312&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

ANOVA Model
MWARM30 ~ MC30VRB
means	1.5	1.5	1	0.5	1.1	0.5	0.3	0.7	1.5	-0.167	0.8	0.5	0.4	0.346	1.5	0.667	0.885	0.5	0.5	0.5	0.3	0.167	0.071	-0.25	0.833	0.5

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
MC30VRB	25	17.727	0.709	1.391	0.12
Residuals	132	67.267	0.51

\begin{tabular}{lllllllll}
\hline
ANOVA Statistics \tabularnewline
  & Df & Sum Sq & Mean Sq & F value & Pr(>F) \tabularnewline
MC30VRB & 25 & 17.727 & 0.709 & 1.391 & 0.12 \tabularnewline
Residuals & 132 & 67.267 & 0.51 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223312&T=2

[TABLE]
[ROW][C]ANOVA Statistics[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]Sum Sq[/C][C]Mean Sq[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]MC30VRB[/C][C]25[/C][C]17.727[/C][C]0.709[/C][C]1.391[/C][C]0.12[/C][/ROW]
[ROW][C]Residuals[/C][C]132[/C][C]67.267[/C][C]0.51[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223312&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223312&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
MC30VRB	25	17.727	0.709	1.391	0.12
Residuals	132	67.267	0.51

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
31-30	1.5	-1.5	4.5	0.977
32-30	1	-1.324	3.324	0.997
34-30	0.5	-1.397	2.397	1
36-30	1.1	-0.7	2.9	0.84
37-30	0.5	-1.3	2.3	1
39-30	0.3	-1.287	1.887	1
41-30	0.7	-0.887	2.287	0.995
42-30	1.5	-1.5	4.5	0.977
43-30	-0.167	-1.899	1.565	1
44-30	0.8	-0.787	2.387	0.975
45-30	0.5	-2.5	3.5	1
46-30	0.4	-1.187	1.987	1
48-30	0.346	-1.188	1.88	1
49-30	1.5	-1.5	4.5	0.977
50-30	0.667	-0.882	2.216	0.997
52-30	0.885	-0.649	2.419	0.902
54-30	0.5	-1.143	2.143	1
55-30	0.5	-1.112	2.112	1
56-30	0.5	-1.182	2.182	1
57-30	0.3	-1.5	2.1	1
58-30	0.167	-1.883	2.216	1
59-30	0.071	-1.61	1.753	1
60-30	-0.25	-2.147	1.647	1
62-30	0.833	-1.216	2.883	0.999
66-30	0.5	-1.397	2.397	1
32-31	-0.5	-3.786	2.786	1
34-31	-1	-4	2	1
36-31	-0.4	-3.339	2.539	1
37-31	-1	-3.939	1.939	1
39-31	-1.2	-4.014	1.614	0.997
41-31	-0.8	-3.614	2.014	1
42-31	0	-3.794	3.794	1
43-31	-1.667	-4.565	1.231	0.904
44-31	-0.7	-3.514	2.114	1
45-31	-1	-4.794	2.794	1
46-31	-1.1	-3.914	1.714	0.999
48-31	-1.154	-3.938	1.63	0.998
49-31	0	-3.794	3.794	1
50-31	-0.833	-3.626	1.959	1
52-31	-0.615	-3.4	2.169	1
54-31	-1	-3.846	1.846	1
55-31	-1	-3.828	1.828	1
56-31	-1	-3.868	1.868	1
57-31	-1.2	-4.139	1.739	0.999
58-31	-1.333	-4.431	1.765	0.997
59-31	-1.429	-4.297	1.44	0.978
60-31	-1.75	-4.75	1.25	0.891
62-31	-0.667	-3.765	2.431	1
66-31	-1	-4	2	1
34-32	-0.5	-2.824	1.824	1
36-32	0.1	-2.145	2.345	1
37-32	-0.5	-2.745	1.745	1
39-32	-0.7	-2.778	1.378	1
41-32	-0.3	-2.378	1.778	1
42-32	0.5	-2.786	3.786	1
43-32	-1.167	-3.357	1.024	0.955
44-32	-0.2	-2.278	1.878	1
45-32	-0.5	-3.786	2.786	1
46-32	-0.6	-2.678	1.478	1
48-32	-0.654	-2.692	1.384	1
49-32	0.5	-2.786	3.786	1
50-32	-0.333	-2.383	1.716	1
52-32	-0.115	-2.153	1.922	1
54-32	-0.5	-2.621	1.621	1
55-32	-0.5	-2.597	1.597	1
56-32	-0.5	-2.651	1.651	1
57-32	-0.7	-2.945	1.545	1
58-32	-0.833	-3.283	1.616	1
59-32	-0.929	-3.08	1.223	0.997
60-32	-1.25	-3.574	1.074	0.95
62-32	-0.167	-2.616	2.283	1
66-32	-0.5	-2.824	1.824	1
36-34	0.6	-1.2	2.4	1
37-34	0	-1.8	1.8	1
39-34	-0.2	-1.787	1.387	1
41-34	0.2	-1.387	1.787	1
42-34	1	-2	4	1
43-34	-0.667	-2.399	1.065	0.999
44-34	0.3	-1.287	1.887	1
45-34	0	-3	3	1
46-34	-0.1	-1.687	1.487	1
48-34	-0.154	-1.688	1.38	1
49-34	1	-2	4	1
50-34	0.167	-1.382	1.716	1
52-34	0.385	-1.149	1.919	1
54-34	0	-1.643	1.643	1
55-34	0	-1.612	1.612	1
56-34	0	-1.682	1.682	1
57-34	-0.2	-2	1.6	1
58-34	-0.333	-2.383	1.716	1
59-34	-0.429	-2.11	1.253	1
60-34	-0.75	-2.647	1.147	0.999
62-34	0.333	-1.716	2.383	1
66-34	0	-1.897	1.897	1
37-36	-0.6	-2.297	1.097	1
39-36	-0.8	-2.27	0.67	0.943
41-36	-0.4	-1.87	1.07	1
42-36	0.4	-2.539	3.339	1
43-36	-1.267	-2.891	0.358	0.388
44-36	-0.3	-1.77	1.17	1
45-36	-0.6	-3.539	2.339	1
46-36	-0.7	-2.17	0.77	0.987
48-36	-0.754	-2.166	0.658	0.953
49-36	0.4	-2.539	3.339	1
50-36	-0.433	-1.861	0.995	1
52-36	-0.215	-1.627	1.197	1
54-36	-0.6	-2.13	0.93	0.999
55-36	-0.6	-2.097	0.897	0.999
56-36	-0.6	-2.171	0.971	0.999
57-36	-0.8	-2.497	0.897	0.989
58-36	-0.933	-2.893	1.026	0.987
59-36	-1.029	-2.6	0.542	0.738
60-36	-1.35	-3.15	0.45	0.469
62-36	-0.267	-2.226	1.693	1
66-36	-0.6	-2.4	1.2	1
39-37	-0.2	-1.67	1.27	1
41-37	0.2	-1.27	1.67	1
42-37	1	-1.939	3.939	1
43-37	-0.667	-2.291	0.958	0.998
44-37	0.3	-1.17	1.77	1
45-37	0	-2.939	2.939	1
46-37	-0.1	-1.57	1.37	1
48-37	-0.154	-1.566	1.258	1
49-37	1	-1.939	3.939	1
50-37	0.167	-1.261	1.595	1
52-37	0.385	-1.027	1.797	1
54-37	0	-1.53	1.53	1
55-37	0	-1.497	1.497	1
56-37	0	-1.571	1.571	1
57-37	-0.2	-1.897	1.497	1
58-37	-0.333	-2.293	1.626	1
59-37	-0.429	-2	1.142	1
60-37	-0.75	-2.55	1.05	0.998
62-37	0.333	-1.626	2.293	1
66-37	0	-1.8	1.8	1
41-39	0.4	-0.8	1.6	1
42-39	1.2	-1.614	4.014	0.997
43-39	-0.467	-1.852	0.919	1
44-39	0.5	-0.7	1.7	0.998
45-39	0.2	-2.614	3.014	1
46-39	0.1	-1.1	1.3	1
48-39	0.046	-1.082	1.175	1
49-39	1.2	-1.614	4.014	0.997
50-39	0.367	-0.782	1.515	1
52-39	0.585	-0.544	1.713	0.966
54-39	0.2	-1.073	1.473	1
55-39	0.2	-1.033	1.433	1
56-39	0.2	-1.122	1.522	1
57-39	0	-1.47	1.47	1
58-39	-0.133	-1.899	1.633	1
59-39	-0.229	-1.551	1.094	1
60-39	-0.55	-2.137	1.037	1
62-39	0.533	-1.233	2.299	1
66-39	0.2	-1.387	1.787	1
42-41	0.8	-2.014	3.614	1
43-41	-0.867	-2.252	0.519	0.809
44-41	0.1	-1.1	1.3	1
45-41	-0.2	-3.014	2.614	1
46-41	-0.3	-1.5	0.9	1
48-41	-0.354	-1.482	0.775	1
49-41	0.8	-2.014	3.614	1
50-41	-0.033	-1.182	1.115	1
52-41	0.185	-0.944	1.313	1
54-41	-0.2	-1.473	1.073	1
55-41	-0.2	-1.433	1.033	1
56-41	-0.2	-1.522	1.122	1
57-41	-0.4	-1.87	1.07	1
58-41	-0.533	-2.299	1.233	1
59-41	-0.629	-1.951	0.694	0.988
60-41	-0.95	-2.537	0.637	0.865
62-41	0.133	-1.633	1.899	1
66-41	-0.2	-1.787	1.387	1
43-42	-1.667	-4.565	1.231	0.904
44-42	-0.7	-3.514	2.114	1
45-42	-1	-4.794	2.794	1
46-42	-1.1	-3.914	1.714	0.999
48-42	-1.154	-3.938	1.63	0.998
49-42	0	-3.794	3.794	1
50-42	-0.833	-3.626	1.959	1
52-42	-0.615	-3.4	2.169	1
54-42	-1	-3.846	1.846	1
55-42	-1	-3.828	1.828	1
56-42	-1	-3.868	1.868	1
57-42	-1.2	-4.139	1.739	0.999
58-42	-1.333	-4.431	1.765	0.997
59-42	-1.429	-4.297	1.44	0.978
60-42	-1.75	-4.75	1.25	0.891
62-42	-0.667	-3.765	2.431	1
66-42	-1	-4	2	1
44-43	0.967	-0.419	2.352	0.62
45-43	0.667	-2.231	3.565	1
46-43	0.567	-0.819	1.952	0.998
48-43	0.513	-0.811	1.837	0.999
49-43	1.667	-1.231	4.565	0.904
50-43	0.833	-0.508	2.175	0.819
52-43	1.051	-0.273	2.375	0.351
54-43	0.667	-0.782	2.116	0.992
55-43	0.667	-0.747	2.081	0.989
56-43	0.667	-0.826	2.159	0.995
57-43	0.467	-1.158	2.091	1
58-43	0.333	-1.564	2.23	1
59-43	0.238	-1.255	1.731	1
60-43	-0.083	-1.815	1.649	1
62-43	1	-0.897	2.897	0.959
66-43	0.667	-1.065	2.399	0.999
45-44	-0.3	-3.114	2.514	1
46-44	-0.4	-1.6	0.8	1
48-44	-0.454	-1.582	0.675	0.999
49-44	0.7	-2.114	3.514	1
50-44	-0.133	-1.282	1.015	1
52-44	0.085	-1.044	1.213	1
54-44	-0.3	-1.573	0.973	1
55-44	-0.3	-1.533	0.933	1
56-44	-0.3	-1.622	1.022	1
57-44	-0.5	-1.97	0.97	1
58-44	-0.633	-2.399	1.133	1
59-44	-0.729	-2.051	0.594	0.936
60-44	-1.05	-2.637	0.537	0.721
62-44	0.033	-1.733	1.799	1
66-44	-0.3	-1.887	1.287	1
46-45	-0.1	-2.914	2.714	1
48-45	-0.154	-2.938	2.63	1
49-45	1	-2.794	4.794	1
50-45	0.167	-2.626	2.959	1
52-45	0.385	-2.4	3.169	1
54-45	0	-2.846	2.846	1
55-45	0	-2.828	2.828	1
56-45	0	-2.868	2.868	1
57-45	-0.2	-3.139	2.739	1
58-45	-0.333	-3.431	2.765	1
59-45	-0.429	-3.297	2.44	1
60-45	-0.75	-3.75	2.25	1
62-45	0.333	-2.765	3.431	1
66-45	0	-3	3	1
48-46	-0.054	-1.182	1.075	1
49-46	1.1	-1.714	3.914	0.999
50-46	0.267	-0.882	1.415	1
52-46	0.485	-0.644	1.613	0.997
54-46	0.1	-1.173	1.373	1
55-46	0.1	-1.133	1.333	1
56-46	0.1	-1.222	1.422	1
57-46	-0.1	-1.57	1.37	1
58-46	-0.233	-1.999	1.533	1
59-46	-0.329	-1.651	0.994	1
60-46	-0.65	-2.237	0.937	0.998
62-46	0.433	-1.333	2.199	1
66-46	0.1	-1.487	1.687	1
49-48	1.154	-1.63	3.938	0.998
50-48	0.321	-0.754	1.395	1
52-48	0.538	-0.514	1.591	0.971
54-48	0.154	-1.052	1.359	1
55-48	0.154	-1.01	1.317	1
56-48	0.154	-1.104	1.412	1
57-48	-0.046	-1.458	1.366	1
58-48	-0.179	-1.898	1.539	1
59-48	-0.275	-1.533	0.983	1
60-48	-0.596	-2.13	0.938	0.999
62-48	0.487	-1.231	2.206	1
66-48	0.154	-1.38	1.688	1
50-49	-0.833	-3.626	1.959	1
52-49	-0.615	-3.4	2.169	1
54-49	-1	-3.846	1.846	1
55-49	-1	-3.828	1.828	1
56-49	-1	-3.868	1.868	1
57-49	-1.2	-4.139	1.739	0.999
58-49	-1.333	-4.431	1.765	0.997
59-49	-1.429	-4.297	1.44	0.978
60-49	-1.75	-4.75	1.25	0.891
62-49	-0.667	-3.765	2.431	1
66-49	-1	-4	2	1
52-50	0.218	-0.856	1.292	1
54-50	-0.167	-1.391	1.058	1
55-50	-0.167	-1.35	1.016	1
56-50	-0.167	-1.443	1.109	1
57-50	-0.367	-1.795	1.061	1
58-50	-0.5	-2.232	1.232	1
59-50	-0.595	-1.871	0.681	0.99
60-50	-0.917	-2.466	0.632	0.877
62-50	0.167	-1.565	1.899	1
66-50	-0.167	-1.716	1.382	1
54-52	-0.385	-1.59	0.821	1
55-52	-0.385	-1.548	0.779	1
56-52	-0.385	-1.642	0.873	1
57-52	-0.585	-1.997	0.827	0.998
58-52	-0.718	-2.436	1.001	0.998
59-52	-0.813	-2.071	0.445	0.759
60-52	-1.135	-2.669	0.399	0.499
62-52	-0.051	-1.77	1.667	1
66-52	-0.385	-1.919	1.149	1
55-54	0	-1.304	1.304	1
56-54	0	-1.389	1.389	1
57-54	-0.2	-1.73	1.33	1
58-54	-0.333	-2.15	1.483	1
59-54	-0.429	-1.817	0.96	1
60-54	-0.75	-2.393	0.893	0.993
62-54	0.333	-1.483	2.15	1
66-54	0	-1.643	1.643	1
56-55	0	-1.352	1.352	1
57-55	-0.2	-1.697	1.297	1
58-55	-0.333	-2.122	1.455	1
59-55	-0.429	-1.781	0.924	1
60-55	-0.75	-2.362	0.862	0.991
62-55	0.333	-1.455	2.122	1
66-55	0	-1.612	1.612	1
57-56	-0.2	-1.771	1.371	1
58-56	-0.333	-2.185	1.518	1
59-56	-0.429	-1.863	1.006	1
60-56	-0.75	-2.432	0.932	0.995
62-56	0.333	-1.518	2.185	1
66-56	0	-1.682	1.682	1
58-57	-0.133	-2.093	1.826	1
59-57	-0.229	-1.8	1.342	1
60-57	-0.55	-2.35	1.25	1
62-57	0.533	-1.426	2.493	1
66-57	0.2	-1.6	2	1
59-58	-0.095	-1.947	1.756	1
60-58	-0.417	-2.466	1.633	1
62-58	0.667	-1.524	2.857	1
66-58	0.333	-1.716	2.383	1
60-59	-0.321	-2.003	1.36	1
62-59	0.762	-1.09	2.613	0.998
66-59	0.429	-1.253	2.11	1
62-60	1.083	-0.966	3.133	0.958
66-60	0.75	-1.147	2.647	0.999
66-62	-0.333	-2.383	1.716	1

\begin{tabular}{lllllllll}
\hline
Tukey Honest Significant Difference Comparisons \tabularnewline
  & diff & lwr & upr & p adj \tabularnewline
31-30 & 1.5 & -1.5 & 4.5 & 0.977 \tabularnewline
32-30 & 1 & -1.324 & 3.324 & 0.997 \tabularnewline
34-30 & 0.5 & -1.397 & 2.397 & 1 \tabularnewline
36-30 & 1.1 & -0.7 & 2.9 & 0.84 \tabularnewline
37-30 & 0.5 & -1.3 & 2.3 & 1 \tabularnewline
39-30 & 0.3 & -1.287 & 1.887 & 1 \tabularnewline
41-30 & 0.7 & -0.887 & 2.287 & 0.995 \tabularnewline
42-30 & 1.5 & -1.5 & 4.5 & 0.977 \tabularnewline
43-30 & -0.167 & -1.899 & 1.565 & 1 \tabularnewline
44-30 & 0.8 & -0.787 & 2.387 & 0.975 \tabularnewline
45-30 & 0.5 & -2.5 & 3.5 & 1 \tabularnewline
46-30 & 0.4 & -1.187 & 1.987 & 1 \tabularnewline
48-30 & 0.346 & -1.188 & 1.88 & 1 \tabularnewline
49-30 & 1.5 & -1.5 & 4.5 & 0.977 \tabularnewline
50-30 & 0.667 & -0.882 & 2.216 & 0.997 \tabularnewline
52-30 & 0.885 & -0.649 & 2.419 & 0.902 \tabularnewline
54-30 & 0.5 & -1.143 & 2.143 & 1 \tabularnewline
55-30 & 0.5 & -1.112 & 2.112 & 1 \tabularnewline
56-30 & 0.5 & -1.182 & 2.182 & 1 \tabularnewline
57-30 & 0.3 & -1.5 & 2.1 & 1 \tabularnewline
58-30 & 0.167 & -1.883 & 2.216 & 1 \tabularnewline
59-30 & 0.071 & -1.61 & 1.753 & 1 \tabularnewline
60-30 & -0.25 & -2.147 & 1.647 & 1 \tabularnewline
62-30 & 0.833 & -1.216 & 2.883 & 0.999 \tabularnewline
66-30 & 0.5 & -1.397 & 2.397 & 1 \tabularnewline
32-31 & -0.5 & -3.786 & 2.786 & 1 \tabularnewline
34-31 & -1 & -4 & 2 & 1 \tabularnewline
36-31 & -0.4 & -3.339 & 2.539 & 1 \tabularnewline
37-31 & -1 & -3.939 & 1.939 & 1 \tabularnewline
39-31 & -1.2 & -4.014 & 1.614 & 0.997 \tabularnewline
41-31 & -0.8 & -3.614 & 2.014 & 1 \tabularnewline
42-31 & 0 & -3.794 & 3.794 & 1 \tabularnewline
43-31 & -1.667 & -4.565 & 1.231 & 0.904 \tabularnewline
44-31 & -0.7 & -3.514 & 2.114 & 1 \tabularnewline
45-31 & -1 & -4.794 & 2.794 & 1 \tabularnewline
46-31 & -1.1 & -3.914 & 1.714 & 0.999 \tabularnewline
48-31 & -1.154 & -3.938 & 1.63 & 0.998 \tabularnewline
49-31 & 0 & -3.794 & 3.794 & 1 \tabularnewline
50-31 & -0.833 & -3.626 & 1.959 & 1 \tabularnewline
52-31 & -0.615 & -3.4 & 2.169 & 1 \tabularnewline
54-31 & -1 & -3.846 & 1.846 & 1 \tabularnewline
55-31 & -1 & -3.828 & 1.828 & 1 \tabularnewline
56-31 & -1 & -3.868 & 1.868 & 1 \tabularnewline
57-31 & -1.2 & -4.139 & 1.739 & 0.999 \tabularnewline
58-31 & -1.333 & -4.431 & 1.765 & 0.997 \tabularnewline
59-31 & -1.429 & -4.297 & 1.44 & 0.978 \tabularnewline
60-31 & -1.75 & -4.75 & 1.25 & 0.891 \tabularnewline
62-31 & -0.667 & -3.765 & 2.431 & 1 \tabularnewline
66-31 & -1 & -4 & 2 & 1 \tabularnewline
34-32 & -0.5 & -2.824 & 1.824 & 1 \tabularnewline
36-32 & 0.1 & -2.145 & 2.345 & 1 \tabularnewline
37-32 & -0.5 & -2.745 & 1.745 & 1 \tabularnewline
39-32 & -0.7 & -2.778 & 1.378 & 1 \tabularnewline
41-32 & -0.3 & -2.378 & 1.778 & 1 \tabularnewline
42-32 & 0.5 & -2.786 & 3.786 & 1 \tabularnewline
43-32 & -1.167 & -3.357 & 1.024 & 0.955 \tabularnewline
44-32 & -0.2 & -2.278 & 1.878 & 1 \tabularnewline
45-32 & -0.5 & -3.786 & 2.786 & 1 \tabularnewline
46-32 & -0.6 & -2.678 & 1.478 & 1 \tabularnewline
48-32 & -0.654 & -2.692 & 1.384 & 1 \tabularnewline
49-32 & 0.5 & -2.786 & 3.786 & 1 \tabularnewline
50-32 & -0.333 & -2.383 & 1.716 & 1 \tabularnewline
52-32 & -0.115 & -2.153 & 1.922 & 1 \tabularnewline
54-32 & -0.5 & -2.621 & 1.621 & 1 \tabularnewline
55-32 & -0.5 & -2.597 & 1.597 & 1 \tabularnewline
56-32 & -0.5 & -2.651 & 1.651 & 1 \tabularnewline
57-32 & -0.7 & -2.945 & 1.545 & 1 \tabularnewline
58-32 & -0.833 & -3.283 & 1.616 & 1 \tabularnewline
59-32 & -0.929 & -3.08 & 1.223 & 0.997 \tabularnewline
60-32 & -1.25 & -3.574 & 1.074 & 0.95 \tabularnewline
62-32 & -0.167 & -2.616 & 2.283 & 1 \tabularnewline
66-32 & -0.5 & -2.824 & 1.824 & 1 \tabularnewline
36-34 & 0.6 & -1.2 & 2.4 & 1 \tabularnewline
37-34 & 0 & -1.8 & 1.8 & 1 \tabularnewline
39-34 & -0.2 & -1.787 & 1.387 & 1 \tabularnewline
41-34 & 0.2 & -1.387 & 1.787 & 1 \tabularnewline
42-34 & 1 & -2 & 4 & 1 \tabularnewline
43-34 & -0.667 & -2.399 & 1.065 & 0.999 \tabularnewline
44-34 & 0.3 & -1.287 & 1.887 & 1 \tabularnewline
45-34 & 0 & -3 & 3 & 1 \tabularnewline
46-34 & -0.1 & -1.687 & 1.487 & 1 \tabularnewline
48-34 & -0.154 & -1.688 & 1.38 & 1 \tabularnewline
49-34 & 1 & -2 & 4 & 1 \tabularnewline
50-34 & 0.167 & -1.382 & 1.716 & 1 \tabularnewline
52-34 & 0.385 & -1.149 & 1.919 & 1 \tabularnewline
54-34 & 0 & -1.643 & 1.643 & 1 \tabularnewline
55-34 & 0 & -1.612 & 1.612 & 1 \tabularnewline
56-34 & 0 & -1.682 & 1.682 & 1 \tabularnewline
57-34 & -0.2 & -2 & 1.6 & 1 \tabularnewline
58-34 & -0.333 & -2.383 & 1.716 & 1 \tabularnewline
59-34 & -0.429 & -2.11 & 1.253 & 1 \tabularnewline
60-34 & -0.75 & -2.647 & 1.147 & 0.999 \tabularnewline
62-34 & 0.333 & -1.716 & 2.383 & 1 \tabularnewline
66-34 & 0 & -1.897 & 1.897 & 1 \tabularnewline
37-36 & -0.6 & -2.297 & 1.097 & 1 \tabularnewline
39-36 & -0.8 & -2.27 & 0.67 & 0.943 \tabularnewline
41-36 & -0.4 & -1.87 & 1.07 & 1 \tabularnewline
42-36 & 0.4 & -2.539 & 3.339 & 1 \tabularnewline
43-36 & -1.267 & -2.891 & 0.358 & 0.388 \tabularnewline
44-36 & -0.3 & -1.77 & 1.17 & 1 \tabularnewline
45-36 & -0.6 & -3.539 & 2.339 & 1 \tabularnewline
46-36 & -0.7 & -2.17 & 0.77 & 0.987 \tabularnewline
48-36 & -0.754 & -2.166 & 0.658 & 0.953 \tabularnewline
49-36 & 0.4 & -2.539 & 3.339 & 1 \tabularnewline
50-36 & -0.433 & -1.861 & 0.995 & 1 \tabularnewline
52-36 & -0.215 & -1.627 & 1.197 & 1 \tabularnewline
54-36 & -0.6 & -2.13 & 0.93 & 0.999 \tabularnewline
55-36 & -0.6 & -2.097 & 0.897 & 0.999 \tabularnewline
56-36 & -0.6 & -2.171 & 0.971 & 0.999 \tabularnewline
57-36 & -0.8 & -2.497 & 0.897 & 0.989 \tabularnewline
58-36 & -0.933 & -2.893 & 1.026 & 0.987 \tabularnewline
59-36 & -1.029 & -2.6 & 0.542 & 0.738 \tabularnewline
60-36 & -1.35 & -3.15 & 0.45 & 0.469 \tabularnewline
62-36 & -0.267 & -2.226 & 1.693 & 1 \tabularnewline
66-36 & -0.6 & -2.4 & 1.2 & 1 \tabularnewline
39-37 & -0.2 & -1.67 & 1.27 & 1 \tabularnewline
41-37 & 0.2 & -1.27 & 1.67 & 1 \tabularnewline
42-37 & 1 & -1.939 & 3.939 & 1 \tabularnewline
43-37 & -0.667 & -2.291 & 0.958 & 0.998 \tabularnewline
44-37 & 0.3 & -1.17 & 1.77 & 1 \tabularnewline
45-37 & 0 & -2.939 & 2.939 & 1 \tabularnewline
46-37 & -0.1 & -1.57 & 1.37 & 1 \tabularnewline
48-37 & -0.154 & -1.566 & 1.258 & 1 \tabularnewline
49-37 & 1 & -1.939 & 3.939 & 1 \tabularnewline
50-37 & 0.167 & -1.261 & 1.595 & 1 \tabularnewline
52-37 & 0.385 & -1.027 & 1.797 & 1 \tabularnewline
54-37 & 0 & -1.53 & 1.53 & 1 \tabularnewline
55-37 & 0 & -1.497 & 1.497 & 1 \tabularnewline
56-37 & 0 & -1.571 & 1.571 & 1 \tabularnewline
57-37 & -0.2 & -1.897 & 1.497 & 1 \tabularnewline
58-37 & -0.333 & -2.293 & 1.626 & 1 \tabularnewline
59-37 & -0.429 & -2 & 1.142 & 1 \tabularnewline
60-37 & -0.75 & -2.55 & 1.05 & 0.998 \tabularnewline
62-37 & 0.333 & -1.626 & 2.293 & 1 \tabularnewline
66-37 & 0 & -1.8 & 1.8 & 1 \tabularnewline
41-39 & 0.4 & -0.8 & 1.6 & 1 \tabularnewline
42-39 & 1.2 & -1.614 & 4.014 & 0.997 \tabularnewline
43-39 & -0.467 & -1.852 & 0.919 & 1 \tabularnewline
44-39 & 0.5 & -0.7 & 1.7 & 0.998 \tabularnewline
45-39 & 0.2 & -2.614 & 3.014 & 1 \tabularnewline
46-39 & 0.1 & -1.1 & 1.3 & 1 \tabularnewline
48-39 & 0.046 & -1.082 & 1.175 & 1 \tabularnewline
49-39 & 1.2 & -1.614 & 4.014 & 0.997 \tabularnewline
50-39 & 0.367 & -0.782 & 1.515 & 1 \tabularnewline
52-39 & 0.585 & -0.544 & 1.713 & 0.966 \tabularnewline
54-39 & 0.2 & -1.073 & 1.473 & 1 \tabularnewline
55-39 & 0.2 & -1.033 & 1.433 & 1 \tabularnewline
56-39 & 0.2 & -1.122 & 1.522 & 1 \tabularnewline
57-39 & 0 & -1.47 & 1.47 & 1 \tabularnewline
58-39 & -0.133 & -1.899 & 1.633 & 1 \tabularnewline
59-39 & -0.229 & -1.551 & 1.094 & 1 \tabularnewline
60-39 & -0.55 & -2.137 & 1.037 & 1 \tabularnewline
62-39 & 0.533 & -1.233 & 2.299 & 1 \tabularnewline
66-39 & 0.2 & -1.387 & 1.787 & 1 \tabularnewline
42-41 & 0.8 & -2.014 & 3.614 & 1 \tabularnewline
43-41 & -0.867 & -2.252 & 0.519 & 0.809 \tabularnewline
44-41 & 0.1 & -1.1 & 1.3 & 1 \tabularnewline
45-41 & -0.2 & -3.014 & 2.614 & 1 \tabularnewline
46-41 & -0.3 & -1.5 & 0.9 & 1 \tabularnewline
48-41 & -0.354 & -1.482 & 0.775 & 1 \tabularnewline
49-41 & 0.8 & -2.014 & 3.614 & 1 \tabularnewline
50-41 & -0.033 & -1.182 & 1.115 & 1 \tabularnewline
52-41 & 0.185 & -0.944 & 1.313 & 1 \tabularnewline
54-41 & -0.2 & -1.473 & 1.073 & 1 \tabularnewline
55-41 & -0.2 & -1.433 & 1.033 & 1 \tabularnewline
56-41 & -0.2 & -1.522 & 1.122 & 1 \tabularnewline
57-41 & -0.4 & -1.87 & 1.07 & 1 \tabularnewline
58-41 & -0.533 & -2.299 & 1.233 & 1 \tabularnewline
59-41 & -0.629 & -1.951 & 0.694 & 0.988 \tabularnewline
60-41 & -0.95 & -2.537 & 0.637 & 0.865 \tabularnewline
62-41 & 0.133 & -1.633 & 1.899 & 1 \tabularnewline
66-41 & -0.2 & -1.787 & 1.387 & 1 \tabularnewline
43-42 & -1.667 & -4.565 & 1.231 & 0.904 \tabularnewline
44-42 & -0.7 & -3.514 & 2.114 & 1 \tabularnewline
45-42 & -1 & -4.794 & 2.794 & 1 \tabularnewline
46-42 & -1.1 & -3.914 & 1.714 & 0.999 \tabularnewline
48-42 & -1.154 & -3.938 & 1.63 & 0.998 \tabularnewline
49-42 & 0 & -3.794 & 3.794 & 1 \tabularnewline
50-42 & -0.833 & -3.626 & 1.959 & 1 \tabularnewline
52-42 & -0.615 & -3.4 & 2.169 & 1 \tabularnewline
54-42 & -1 & -3.846 & 1.846 & 1 \tabularnewline
55-42 & -1 & -3.828 & 1.828 & 1 \tabularnewline
56-42 & -1 & -3.868 & 1.868 & 1 \tabularnewline
57-42 & -1.2 & -4.139 & 1.739 & 0.999 \tabularnewline
58-42 & -1.333 & -4.431 & 1.765 & 0.997 \tabularnewline
59-42 & -1.429 & -4.297 & 1.44 & 0.978 \tabularnewline
60-42 & -1.75 & -4.75 & 1.25 & 0.891 \tabularnewline
62-42 & -0.667 & -3.765 & 2.431 & 1 \tabularnewline
66-42 & -1 & -4 & 2 & 1 \tabularnewline
44-43 & 0.967 & -0.419 & 2.352 & 0.62 \tabularnewline
45-43 & 0.667 & -2.231 & 3.565 & 1 \tabularnewline
46-43 & 0.567 & -0.819 & 1.952 & 0.998 \tabularnewline
48-43 & 0.513 & -0.811 & 1.837 & 0.999 \tabularnewline
49-43 & 1.667 & -1.231 & 4.565 & 0.904 \tabularnewline
50-43 & 0.833 & -0.508 & 2.175 & 0.819 \tabularnewline
52-43 & 1.051 & -0.273 & 2.375 & 0.351 \tabularnewline
54-43 & 0.667 & -0.782 & 2.116 & 0.992 \tabularnewline
55-43 & 0.667 & -0.747 & 2.081 & 0.989 \tabularnewline
56-43 & 0.667 & -0.826 & 2.159 & 0.995 \tabularnewline
57-43 & 0.467 & -1.158 & 2.091 & 1 \tabularnewline
58-43 & 0.333 & -1.564 & 2.23 & 1 \tabularnewline
59-43 & 0.238 & -1.255 & 1.731 & 1 \tabularnewline
60-43 & -0.083 & -1.815 & 1.649 & 1 \tabularnewline
62-43 & 1 & -0.897 & 2.897 & 0.959 \tabularnewline
66-43 & 0.667 & -1.065 & 2.399 & 0.999 \tabularnewline
45-44 & -0.3 & -3.114 & 2.514 & 1 \tabularnewline
46-44 & -0.4 & -1.6 & 0.8 & 1 \tabularnewline
48-44 & -0.454 & -1.582 & 0.675 & 0.999 \tabularnewline
49-44 & 0.7 & -2.114 & 3.514 & 1 \tabularnewline
50-44 & -0.133 & -1.282 & 1.015 & 1 \tabularnewline
52-44 & 0.085 & -1.044 & 1.213 & 1 \tabularnewline
54-44 & -0.3 & -1.573 & 0.973 & 1 \tabularnewline
55-44 & -0.3 & -1.533 & 0.933 & 1 \tabularnewline
56-44 & -0.3 & -1.622 & 1.022 & 1 \tabularnewline
57-44 & -0.5 & -1.97 & 0.97 & 1 \tabularnewline
58-44 & -0.633 & -2.399 & 1.133 & 1 \tabularnewline
59-44 & -0.729 & -2.051 & 0.594 & 0.936 \tabularnewline
60-44 & -1.05 & -2.637 & 0.537 & 0.721 \tabularnewline
62-44 & 0.033 & -1.733 & 1.799 & 1 \tabularnewline
66-44 & -0.3 & -1.887 & 1.287 & 1 \tabularnewline
46-45 & -0.1 & -2.914 & 2.714 & 1 \tabularnewline
48-45 & -0.154 & -2.938 & 2.63 & 1 \tabularnewline
49-45 & 1 & -2.794 & 4.794 & 1 \tabularnewline
50-45 & 0.167 & -2.626 & 2.959 & 1 \tabularnewline
52-45 & 0.385 & -2.4 & 3.169 & 1 \tabularnewline
54-45 & 0 & -2.846 & 2.846 & 1 \tabularnewline
55-45 & 0 & -2.828 & 2.828 & 1 \tabularnewline
56-45 & 0 & -2.868 & 2.868 & 1 \tabularnewline
57-45 & -0.2 & -3.139 & 2.739 & 1 \tabularnewline
58-45 & -0.333 & -3.431 & 2.765 & 1 \tabularnewline
59-45 & -0.429 & -3.297 & 2.44 & 1 \tabularnewline
60-45 & -0.75 & -3.75 & 2.25 & 1 \tabularnewline
62-45 & 0.333 & -2.765 & 3.431 & 1 \tabularnewline
66-45 & 0 & -3 & 3 & 1 \tabularnewline
48-46 & -0.054 & -1.182 & 1.075 & 1 \tabularnewline
49-46 & 1.1 & -1.714 & 3.914 & 0.999 \tabularnewline
50-46 & 0.267 & -0.882 & 1.415 & 1 \tabularnewline
52-46 & 0.485 & -0.644 & 1.613 & 0.997 \tabularnewline
54-46 & 0.1 & -1.173 & 1.373 & 1 \tabularnewline
55-46 & 0.1 & -1.133 & 1.333 & 1 \tabularnewline
56-46 & 0.1 & -1.222 & 1.422 & 1 \tabularnewline
57-46 & -0.1 & -1.57 & 1.37 & 1 \tabularnewline
58-46 & -0.233 & -1.999 & 1.533 & 1 \tabularnewline
59-46 & -0.329 & -1.651 & 0.994 & 1 \tabularnewline
60-46 & -0.65 & -2.237 & 0.937 & 0.998 \tabularnewline
62-46 & 0.433 & -1.333 & 2.199 & 1 \tabularnewline
66-46 & 0.1 & -1.487 & 1.687 & 1 \tabularnewline
49-48 & 1.154 & -1.63 & 3.938 & 0.998 \tabularnewline
50-48 & 0.321 & -0.754 & 1.395 & 1 \tabularnewline
52-48 & 0.538 & -0.514 & 1.591 & 0.971 \tabularnewline
54-48 & 0.154 & -1.052 & 1.359 & 1 \tabularnewline
55-48 & 0.154 & -1.01 & 1.317 & 1 \tabularnewline
56-48 & 0.154 & -1.104 & 1.412 & 1 \tabularnewline
57-48 & -0.046 & -1.458 & 1.366 & 1 \tabularnewline
58-48 & -0.179 & -1.898 & 1.539 & 1 \tabularnewline
59-48 & -0.275 & -1.533 & 0.983 & 1 \tabularnewline
60-48 & -0.596 & -2.13 & 0.938 & 0.999 \tabularnewline
62-48 & 0.487 & -1.231 & 2.206 & 1 \tabularnewline
66-48 & 0.154 & -1.38 & 1.688 & 1 \tabularnewline
50-49 & -0.833 & -3.626 & 1.959 & 1 \tabularnewline
52-49 & -0.615 & -3.4 & 2.169 & 1 \tabularnewline
54-49 & -1 & -3.846 & 1.846 & 1 \tabularnewline
55-49 & -1 & -3.828 & 1.828 & 1 \tabularnewline
56-49 & -1 & -3.868 & 1.868 & 1 \tabularnewline
57-49 & -1.2 & -4.139 & 1.739 & 0.999 \tabularnewline
58-49 & -1.333 & -4.431 & 1.765 & 0.997 \tabularnewline
59-49 & -1.429 & -4.297 & 1.44 & 0.978 \tabularnewline
60-49 & -1.75 & -4.75 & 1.25 & 0.891 \tabularnewline
62-49 & -0.667 & -3.765 & 2.431 & 1 \tabularnewline
66-49 & -1 & -4 & 2 & 1 \tabularnewline
52-50 & 0.218 & -0.856 & 1.292 & 1 \tabularnewline
54-50 & -0.167 & -1.391 & 1.058 & 1 \tabularnewline
55-50 & -0.167 & -1.35 & 1.016 & 1 \tabularnewline
56-50 & -0.167 & -1.443 & 1.109 & 1 \tabularnewline
57-50 & -0.367 & -1.795 & 1.061 & 1 \tabularnewline
58-50 & -0.5 & -2.232 & 1.232 & 1 \tabularnewline
59-50 & -0.595 & -1.871 & 0.681 & 0.99 \tabularnewline
60-50 & -0.917 & -2.466 & 0.632 & 0.877 \tabularnewline
62-50 & 0.167 & -1.565 & 1.899 & 1 \tabularnewline
66-50 & -0.167 & -1.716 & 1.382 & 1 \tabularnewline
54-52 & -0.385 & -1.59 & 0.821 & 1 \tabularnewline
55-52 & -0.385 & -1.548 & 0.779 & 1 \tabularnewline
56-52 & -0.385 & -1.642 & 0.873 & 1 \tabularnewline
57-52 & -0.585 & -1.997 & 0.827 & 0.998 \tabularnewline
58-52 & -0.718 & -2.436 & 1.001 & 0.998 \tabularnewline
59-52 & -0.813 & -2.071 & 0.445 & 0.759 \tabularnewline
60-52 & -1.135 & -2.669 & 0.399 & 0.499 \tabularnewline
62-52 & -0.051 & -1.77 & 1.667 & 1 \tabularnewline
66-52 & -0.385 & -1.919 & 1.149 & 1 \tabularnewline
55-54 & 0 & -1.304 & 1.304 & 1 \tabularnewline
56-54 & 0 & -1.389 & 1.389 & 1 \tabularnewline
57-54 & -0.2 & -1.73 & 1.33 & 1 \tabularnewline
58-54 & -0.333 & -2.15 & 1.483 & 1 \tabularnewline
59-54 & -0.429 & -1.817 & 0.96 & 1 \tabularnewline
60-54 & -0.75 & -2.393 & 0.893 & 0.993 \tabularnewline
62-54 & 0.333 & -1.483 & 2.15 & 1 \tabularnewline
66-54 & 0 & -1.643 & 1.643 & 1 \tabularnewline
56-55 & 0 & -1.352 & 1.352 & 1 \tabularnewline
57-55 & -0.2 & -1.697 & 1.297 & 1 \tabularnewline
58-55 & -0.333 & -2.122 & 1.455 & 1 \tabularnewline
59-55 & -0.429 & -1.781 & 0.924 & 1 \tabularnewline
60-55 & -0.75 & -2.362 & 0.862 & 0.991 \tabularnewline
62-55 & 0.333 & -1.455 & 2.122 & 1 \tabularnewline
66-55 & 0 & -1.612 & 1.612 & 1 \tabularnewline
57-56 & -0.2 & -1.771 & 1.371 & 1 \tabularnewline
58-56 & -0.333 & -2.185 & 1.518 & 1 \tabularnewline
59-56 & -0.429 & -1.863 & 1.006 & 1 \tabularnewline
60-56 & -0.75 & -2.432 & 0.932 & 0.995 \tabularnewline
62-56 & 0.333 & -1.518 & 2.185 & 1 \tabularnewline
66-56 & 0 & -1.682 & 1.682 & 1 \tabularnewline
58-57 & -0.133 & -2.093 & 1.826 & 1 \tabularnewline
59-57 & -0.229 & -1.8 & 1.342 & 1 \tabularnewline
60-57 & -0.55 & -2.35 & 1.25 & 1 \tabularnewline
62-57 & 0.533 & -1.426 & 2.493 & 1 \tabularnewline
66-57 & 0.2 & -1.6 & 2 & 1 \tabularnewline
59-58 & -0.095 & -1.947 & 1.756 & 1 \tabularnewline
60-58 & -0.417 & -2.466 & 1.633 & 1 \tabularnewline
62-58 & 0.667 & -1.524 & 2.857 & 1 \tabularnewline
66-58 & 0.333 & -1.716 & 2.383 & 1 \tabularnewline
60-59 & -0.321 & -2.003 & 1.36 & 1 \tabularnewline
62-59 & 0.762 & -1.09 & 2.613 & 0.998 \tabularnewline
66-59 & 0.429 & -1.253 & 2.11 & 1 \tabularnewline
62-60 & 1.083 & -0.966 & 3.133 & 0.958 \tabularnewline
66-60 & 0.75 & -1.147 & 2.647 & 0.999 \tabularnewline
66-62 & -0.333 & -2.383 & 1.716 & 1 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223312&T=3

[TABLE]
[ROW][C]Tukey Honest Significant Difference Comparisons[/C][/ROW]
[ROW][C] [/C][C]diff[/C][C]lwr[/C][C]upr[/C][C]p adj[/C][/ROW]
[ROW][C]31-30[/C][C]1.5[/C][C]-1.5[/C][C]4.5[/C][C]0.977[/C][/ROW]
[ROW][C]32-30[/C][C]1[/C][C]-1.324[/C][C]3.324[/C][C]0.997[/C][/ROW]
[ROW][C]34-30[/C][C]0.5[/C][C]-1.397[/C][C]2.397[/C][C]1[/C][/ROW]
[ROW][C]36-30[/C][C]1.1[/C][C]-0.7[/C][C]2.9[/C][C]0.84[/C][/ROW]
[ROW][C]37-30[/C][C]0.5[/C][C]-1.3[/C][C]2.3[/C][C]1[/C][/ROW]
[ROW][C]39-30[/C][C]0.3[/C][C]-1.287[/C][C]1.887[/C][C]1[/C][/ROW]
[ROW][C]41-30[/C][C]0.7[/C][C]-0.887[/C][C]2.287[/C][C]0.995[/C][/ROW]
[ROW][C]42-30[/C][C]1.5[/C][C]-1.5[/C][C]4.5[/C][C]0.977[/C][/ROW]
[ROW][C]43-30[/C][C]-0.167[/C][C]-1.899[/C][C]1.565[/C][C]1[/C][/ROW]
[ROW][C]44-30[/C][C]0.8[/C][C]-0.787[/C][C]2.387[/C][C]0.975[/C][/ROW]
[ROW][C]45-30[/C][C]0.5[/C][C]-2.5[/C][C]3.5[/C][C]1[/C][/ROW]
[ROW][C]46-30[/C][C]0.4[/C][C]-1.187[/C][C]1.987[/C][C]1[/C][/ROW]
[ROW][C]48-30[/C][C]0.346[/C][C]-1.188[/C][C]1.88[/C][C]1[/C][/ROW]
[ROW][C]49-30[/C][C]1.5[/C][C]-1.5[/C][C]4.5[/C][C]0.977[/C][/ROW]
[ROW][C]50-30[/C][C]0.667[/C][C]-0.882[/C][C]2.216[/C][C]0.997[/C][/ROW]
[ROW][C]52-30[/C][C]0.885[/C][C]-0.649[/C][C]2.419[/C][C]0.902[/C][/ROW]
[ROW][C]54-30[/C][C]0.5[/C][C]-1.143[/C][C]2.143[/C][C]1[/C][/ROW]
[ROW][C]55-30[/C][C]0.5[/C][C]-1.112[/C][C]2.112[/C][C]1[/C][/ROW]
[ROW][C]56-30[/C][C]0.5[/C][C]-1.182[/C][C]2.182[/C][C]1[/C][/ROW]
[ROW][C]57-30[/C][C]0.3[/C][C]-1.5[/C][C]2.1[/C][C]1[/C][/ROW]
[ROW][C]58-30[/C][C]0.167[/C][C]-1.883[/C][C]2.216[/C][C]1[/C][/ROW]
[ROW][C]59-30[/C][C]0.071[/C][C]-1.61[/C][C]1.753[/C][C]1[/C][/ROW]
[ROW][C]60-30[/C][C]-0.25[/C][C]-2.147[/C][C]1.647[/C][C]1[/C][/ROW]
[ROW][C]62-30[/C][C]0.833[/C][C]-1.216[/C][C]2.883[/C][C]0.999[/C][/ROW]
[ROW][C]66-30[/C][C]0.5[/C][C]-1.397[/C][C]2.397[/C][C]1[/C][/ROW]
[ROW][C]32-31[/C][C]-0.5[/C][C]-3.786[/C][C]2.786[/C][C]1[/C][/ROW]
[ROW][C]34-31[/C][C]-1[/C][C]-4[/C][C]2[/C][C]1[/C][/ROW]
[ROW][C]36-31[/C][C]-0.4[/C][C]-3.339[/C][C]2.539[/C][C]1[/C][/ROW]
[ROW][C]37-31[/C][C]-1[/C][C]-3.939[/C][C]1.939[/C][C]1[/C][/ROW]
[ROW][C]39-31[/C][C]-1.2[/C][C]-4.014[/C][C]1.614[/C][C]0.997[/C][/ROW]
[ROW][C]41-31[/C][C]-0.8[/C][C]-3.614[/C][C]2.014[/C][C]1[/C][/ROW]
[ROW][C]42-31[/C][C]0[/C][C]-3.794[/C][C]3.794[/C][C]1[/C][/ROW]
[ROW][C]43-31[/C][C]-1.667[/C][C]-4.565[/C][C]1.231[/C][C]0.904[/C][/ROW]
[ROW][C]44-31[/C][C]-0.7[/C][C]-3.514[/C][C]2.114[/C][C]1[/C][/ROW]
[ROW][C]45-31[/C][C]-1[/C][C]-4.794[/C][C]2.794[/C][C]1[/C][/ROW]
[ROW][C]46-31[/C][C]-1.1[/C][C]-3.914[/C][C]1.714[/C][C]0.999[/C][/ROW]
[ROW][C]48-31[/C][C]-1.154[/C][C]-3.938[/C][C]1.63[/C][C]0.998[/C][/ROW]
[ROW][C]49-31[/C][C]0[/C][C]-3.794[/C][C]3.794[/C][C]1[/C][/ROW]
[ROW][C]50-31[/C][C]-0.833[/C][C]-3.626[/C][C]1.959[/C][C]1[/C][/ROW]
[ROW][C]52-31[/C][C]-0.615[/C][C]-3.4[/C][C]2.169[/C][C]1[/C][/ROW]
[ROW][C]54-31[/C][C]-1[/C][C]-3.846[/C][C]1.846[/C][C]1[/C][/ROW]
[ROW][C]55-31[/C][C]-1[/C][C]-3.828[/C][C]1.828[/C][C]1[/C][/ROW]
[ROW][C]56-31[/C][C]-1[/C][C]-3.868[/C][C]1.868[/C][C]1[/C][/ROW]
[ROW][C]57-31[/C][C]-1.2[/C][C]-4.139[/C][C]1.739[/C][C]0.999[/C][/ROW]
[ROW][C]58-31[/C][C]-1.333[/C][C]-4.431[/C][C]1.765[/C][C]0.997[/C][/ROW]
[ROW][C]59-31[/C][C]-1.429[/C][C]-4.297[/C][C]1.44[/C][C]0.978[/C][/ROW]
[ROW][C]60-31[/C][C]-1.75[/C][C]-4.75[/C][C]1.25[/C][C]0.891[/C][/ROW]
[ROW][C]62-31[/C][C]-0.667[/C][C]-3.765[/C][C]2.431[/C][C]1[/C][/ROW]
[ROW][C]66-31[/C][C]-1[/C][C]-4[/C][C]2[/C][C]1[/C][/ROW]
[ROW][C]34-32[/C][C]-0.5[/C][C]-2.824[/C][C]1.824[/C][C]1[/C][/ROW]
[ROW][C]36-32[/C][C]0.1[/C][C]-2.145[/C][C]2.345[/C][C]1[/C][/ROW]
[ROW][C]37-32[/C][C]-0.5[/C][C]-2.745[/C][C]1.745[/C][C]1[/C][/ROW]
[ROW][C]39-32[/C][C]-0.7[/C][C]-2.778[/C][C]1.378[/C][C]1[/C][/ROW]
[ROW][C]41-32[/C][C]-0.3[/C][C]-2.378[/C][C]1.778[/C][C]1[/C][/ROW]
[ROW][C]42-32[/C][C]0.5[/C][C]-2.786[/C][C]3.786[/C][C]1[/C][/ROW]
[ROW][C]43-32[/C][C]-1.167[/C][C]-3.357[/C][C]1.024[/C][C]0.955[/C][/ROW]
[ROW][C]44-32[/C][C]-0.2[/C][C]-2.278[/C][C]1.878[/C][C]1[/C][/ROW]
[ROW][C]45-32[/C][C]-0.5[/C][C]-3.786[/C][C]2.786[/C][C]1[/C][/ROW]
[ROW][C]46-32[/C][C]-0.6[/C][C]-2.678[/C][C]1.478[/C][C]1[/C][/ROW]
[ROW][C]48-32[/C][C]-0.654[/C][C]-2.692[/C][C]1.384[/C][C]1[/C][/ROW]
[ROW][C]49-32[/C][C]0.5[/C][C]-2.786[/C][C]3.786[/C][C]1[/C][/ROW]
[ROW][C]50-32[/C][C]-0.333[/C][C]-2.383[/C][C]1.716[/C][C]1[/C][/ROW]
[ROW][C]52-32[/C][C]-0.115[/C][C]-2.153[/C][C]1.922[/C][C]1[/C][/ROW]
[ROW][C]54-32[/C][C]-0.5[/C][C]-2.621[/C][C]1.621[/C][C]1[/C][/ROW]
[ROW][C]55-32[/C][C]-0.5[/C][C]-2.597[/C][C]1.597[/C][C]1[/C][/ROW]
[ROW][C]56-32[/C][C]-0.5[/C][C]-2.651[/C][C]1.651[/C][C]1[/C][/ROW]
[ROW][C]57-32[/C][C]-0.7[/C][C]-2.945[/C][C]1.545[/C][C]1[/C][/ROW]
[ROW][C]58-32[/C][C]-0.833[/C][C]-3.283[/C][C]1.616[/C][C]1[/C][/ROW]
[ROW][C]59-32[/C][C]-0.929[/C][C]-3.08[/C][C]1.223[/C][C]0.997[/C][/ROW]
[ROW][C]60-32[/C][C]-1.25[/C][C]-3.574[/C][C]1.074[/C][C]0.95[/C][/ROW]
[ROW][C]62-32[/C][C]-0.167[/C][C]-2.616[/C][C]2.283[/C][C]1[/C][/ROW]
[ROW][C]66-32[/C][C]-0.5[/C][C]-2.824[/C][C]1.824[/C][C]1[/C][/ROW]
[ROW][C]36-34[/C][C]0.6[/C][C]-1.2[/C][C]2.4[/C][C]1[/C][/ROW]
[ROW][C]37-34[/C][C]0[/C][C]-1.8[/C][C]1.8[/C][C]1[/C][/ROW]
[ROW][C]39-34[/C][C]-0.2[/C][C]-1.787[/C][C]1.387[/C][C]1[/C][/ROW]
[ROW][C]41-34[/C][C]0.2[/C][C]-1.387[/C][C]1.787[/C][C]1[/C][/ROW]
[ROW][C]42-34[/C][C]1[/C][C]-2[/C][C]4[/C][C]1[/C][/ROW]
[ROW][C]43-34[/C][C]-0.667[/C][C]-2.399[/C][C]1.065[/C][C]0.999[/C][/ROW]
[ROW][C]44-34[/C][C]0.3[/C][C]-1.287[/C][C]1.887[/C][C]1[/C][/ROW]
[ROW][C]45-34[/C][C]0[/C][C]-3[/C][C]3[/C][C]1[/C][/ROW]
[ROW][C]46-34[/C][C]-0.1[/C][C]-1.687[/C][C]1.487[/C][C]1[/C][/ROW]
[ROW][C]48-34[/C][C]-0.154[/C][C]-1.688[/C][C]1.38[/C][C]1[/C][/ROW]
[ROW][C]49-34[/C][C]1[/C][C]-2[/C][C]4[/C][C]1[/C][/ROW]
[ROW][C]50-34[/C][C]0.167[/C][C]-1.382[/C][C]1.716[/C][C]1[/C][/ROW]
[ROW][C]52-34[/C][C]0.385[/C][C]-1.149[/C][C]1.919[/C][C]1[/C][/ROW]
[ROW][C]54-34[/C][C]0[/C][C]-1.643[/C][C]1.643[/C][C]1[/C][/ROW]
[ROW][C]55-34[/C][C]0[/C][C]-1.612[/C][C]1.612[/C][C]1[/C][/ROW]
[ROW][C]56-34[/C][C]0[/C][C]-1.682[/C][C]1.682[/C][C]1[/C][/ROW]
[ROW][C]57-34[/C][C]-0.2[/C][C]-2[/C][C]1.6[/C][C]1[/C][/ROW]
[ROW][C]58-34[/C][C]-0.333[/C][C]-2.383[/C][C]1.716[/C][C]1[/C][/ROW]
[ROW][C]59-34[/C][C]-0.429[/C][C]-2.11[/C][C]1.253[/C][C]1[/C][/ROW]
[ROW][C]60-34[/C][C]-0.75[/C][C]-2.647[/C][C]1.147[/C][C]0.999[/C][/ROW]
[ROW][C]62-34[/C][C]0.333[/C][C]-1.716[/C][C]2.383[/C][C]1[/C][/ROW]
[ROW][C]66-34[/C][C]0[/C][C]-1.897[/C][C]1.897[/C][C]1[/C][/ROW]
[ROW][C]37-36[/C][C]-0.6[/C][C]-2.297[/C][C]1.097[/C][C]1[/C][/ROW]
[ROW][C]39-36[/C][C]-0.8[/C][C]-2.27[/C][C]0.67[/C][C]0.943[/C][/ROW]
[ROW][C]41-36[/C][C]-0.4[/C][C]-1.87[/C][C]1.07[/C][C]1[/C][/ROW]
[ROW][C]42-36[/C][C]0.4[/C][C]-2.539[/C][C]3.339[/C][C]1[/C][/ROW]
[ROW][C]43-36[/C][C]-1.267[/C][C]-2.891[/C][C]0.358[/C][C]0.388[/C][/ROW]
[ROW][C]44-36[/C][C]-0.3[/C][C]-1.77[/C][C]1.17[/C][C]1[/C][/ROW]
[ROW][C]45-36[/C][C]-0.6[/C][C]-3.539[/C][C]2.339[/C][C]1[/C][/ROW]
[ROW][C]46-36[/C][C]-0.7[/C][C]-2.17[/C][C]0.77[/C][C]0.987[/C][/ROW]
[ROW][C]48-36[/C][C]-0.754[/C][C]-2.166[/C][C]0.658[/C][C]0.953[/C][/ROW]
[ROW][C]49-36[/C][C]0.4[/C][C]-2.539[/C][C]3.339[/C][C]1[/C][/ROW]
[ROW][C]50-36[/C][C]-0.433[/C][C]-1.861[/C][C]0.995[/C][C]1[/C][/ROW]
[ROW][C]52-36[/C][C]-0.215[/C][C]-1.627[/C][C]1.197[/C][C]1[/C][/ROW]
[ROW][C]54-36[/C][C]-0.6[/C][C]-2.13[/C][C]0.93[/C][C]0.999[/C][/ROW]
[ROW][C]55-36[/C][C]-0.6[/C][C]-2.097[/C][C]0.897[/C][C]0.999[/C][/ROW]
[ROW][C]56-36[/C][C]-0.6[/C][C]-2.171[/C][C]0.971[/C][C]0.999[/C][/ROW]
[ROW][C]57-36[/C][C]-0.8[/C][C]-2.497[/C][C]0.897[/C][C]0.989[/C][/ROW]
[ROW][C]58-36[/C][C]-0.933[/C][C]-2.893[/C][C]1.026[/C][C]0.987[/C][/ROW]
[ROW][C]59-36[/C][C]-1.029[/C][C]-2.6[/C][C]0.542[/C][C]0.738[/C][/ROW]
[ROW][C]60-36[/C][C]-1.35[/C][C]-3.15[/C][C]0.45[/C][C]0.469[/C][/ROW]
[ROW][C]62-36[/C][C]-0.267[/C][C]-2.226[/C][C]1.693[/C][C]1[/C][/ROW]
[ROW][C]66-36[/C][C]-0.6[/C][C]-2.4[/C][C]1.2[/C][C]1[/C][/ROW]
[ROW][C]39-37[/C][C]-0.2[/C][C]-1.67[/C][C]1.27[/C][C]1[/C][/ROW]
[ROW][C]41-37[/C][C]0.2[/C][C]-1.27[/C][C]1.67[/C][C]1[/C][/ROW]
[ROW][C]42-37[/C][C]1[/C][C]-1.939[/C][C]3.939[/C][C]1[/C][/ROW]
[ROW][C]43-37[/C][C]-0.667[/C][C]-2.291[/C][C]0.958[/C][C]0.998[/C][/ROW]
[ROW][C]44-37[/C][C]0.3[/C][C]-1.17[/C][C]1.77[/C][C]1[/C][/ROW]
[ROW][C]45-37[/C][C]0[/C][C]-2.939[/C][C]2.939[/C][C]1[/C][/ROW]
[ROW][C]46-37[/C][C]-0.1[/C][C]-1.57[/C][C]1.37[/C][C]1[/C][/ROW]
[ROW][C]48-37[/C][C]-0.154[/C][C]-1.566[/C][C]1.258[/C][C]1[/C][/ROW]
[ROW][C]49-37[/C][C]1[/C][C]-1.939[/C][C]3.939[/C][C]1[/C][/ROW]
[ROW][C]50-37[/C][C]0.167[/C][C]-1.261[/C][C]1.595[/C][C]1[/C][/ROW]
[ROW][C]52-37[/C][C]0.385[/C][C]-1.027[/C][C]1.797[/C][C]1[/C][/ROW]
[ROW][C]54-37[/C][C]0[/C][C]-1.53[/C][C]1.53[/C][C]1[/C][/ROW]
[ROW][C]55-37[/C][C]0[/C][C]-1.497[/C][C]1.497[/C][C]1[/C][/ROW]
[ROW][C]56-37[/C][C]0[/C][C]-1.571[/C][C]1.571[/C][C]1[/C][/ROW]
[ROW][C]57-37[/C][C]-0.2[/C][C]-1.897[/C][C]1.497[/C][C]1[/C][/ROW]
[ROW][C]58-37[/C][C]-0.333[/C][C]-2.293[/C][C]1.626[/C][C]1[/C][/ROW]
[ROW][C]59-37[/C][C]-0.429[/C][C]-2[/C][C]1.142[/C][C]1[/C][/ROW]
[ROW][C]60-37[/C][C]-0.75[/C][C]-2.55[/C][C]1.05[/C][C]0.998[/C][/ROW]
[ROW][C]62-37[/C][C]0.333[/C][C]-1.626[/C][C]2.293[/C][C]1[/C][/ROW]
[ROW][C]66-37[/C][C]0[/C][C]-1.8[/C][C]1.8[/C][C]1[/C][/ROW]
[ROW][C]41-39[/C][C]0.4[/C][C]-0.8[/C][C]1.6[/C][C]1[/C][/ROW]
[ROW][C]42-39[/C][C]1.2[/C][C]-1.614[/C][C]4.014[/C][C]0.997[/C][/ROW]
[ROW][C]43-39[/C][C]-0.467[/C][C]-1.852[/C][C]0.919[/C][C]1[/C][/ROW]
[ROW][C]44-39[/C][C]0.5[/C][C]-0.7[/C][C]1.7[/C][C]0.998[/C][/ROW]
[ROW][C]45-39[/C][C]0.2[/C][C]-2.614[/C][C]3.014[/C][C]1[/C][/ROW]
[ROW][C]46-39[/C][C]0.1[/C][C]-1.1[/C][C]1.3[/C][C]1[/C][/ROW]
[ROW][C]48-39[/C][C]0.046[/C][C]-1.082[/C][C]1.175[/C][C]1[/C][/ROW]
[ROW][C]49-39[/C][C]1.2[/C][C]-1.614[/C][C]4.014[/C][C]0.997[/C][/ROW]
[ROW][C]50-39[/C][C]0.367[/C][C]-0.782[/C][C]1.515[/C][C]1[/C][/ROW]
[ROW][C]52-39[/C][C]0.585[/C][C]-0.544[/C][C]1.713[/C][C]0.966[/C][/ROW]
[ROW][C]54-39[/C][C]0.2[/C][C]-1.073[/C][C]1.473[/C][C]1[/C][/ROW]
[ROW][C]55-39[/C][C]0.2[/C][C]-1.033[/C][C]1.433[/C][C]1[/C][/ROW]
[ROW][C]56-39[/C][C]0.2[/C][C]-1.122[/C][C]1.522[/C][C]1[/C][/ROW]
[ROW][C]57-39[/C][C]0[/C][C]-1.47[/C][C]1.47[/C][C]1[/C][/ROW]
[ROW][C]58-39[/C][C]-0.133[/C][C]-1.899[/C][C]1.633[/C][C]1[/C][/ROW]
[ROW][C]59-39[/C][C]-0.229[/C][C]-1.551[/C][C]1.094[/C][C]1[/C][/ROW]
[ROW][C]60-39[/C][C]-0.55[/C][C]-2.137[/C][C]1.037[/C][C]1[/C][/ROW]
[ROW][C]62-39[/C][C]0.533[/C][C]-1.233[/C][C]2.299[/C][C]1[/C][/ROW]
[ROW][C]66-39[/C][C]0.2[/C][C]-1.387[/C][C]1.787[/C][C]1[/C][/ROW]
[ROW][C]42-41[/C][C]0.8[/C][C]-2.014[/C][C]3.614[/C][C]1[/C][/ROW]
[ROW][C]43-41[/C][C]-0.867[/C][C]-2.252[/C][C]0.519[/C][C]0.809[/C][/ROW]
[ROW][C]44-41[/C][C]0.1[/C][C]-1.1[/C][C]1.3[/C][C]1[/C][/ROW]
[ROW][C]45-41[/C][C]-0.2[/C][C]-3.014[/C][C]2.614[/C][C]1[/C][/ROW]
[ROW][C]46-41[/C][C]-0.3[/C][C]-1.5[/C][C]0.9[/C][C]1[/C][/ROW]
[ROW][C]48-41[/C][C]-0.354[/C][C]-1.482[/C][C]0.775[/C][C]1[/C][/ROW]
[ROW][C]49-41[/C][C]0.8[/C][C]-2.014[/C][C]3.614[/C][C]1[/C][/ROW]
[ROW][C]50-41[/C][C]-0.033[/C][C]-1.182[/C][C]1.115[/C][C]1[/C][/ROW]
[ROW][C]52-41[/C][C]0.185[/C][C]-0.944[/C][C]1.313[/C][C]1[/C][/ROW]
[ROW][C]54-41[/C][C]-0.2[/C][C]-1.473[/C][C]1.073[/C][C]1[/C][/ROW]
[ROW][C]55-41[/C][C]-0.2[/C][C]-1.433[/C][C]1.033[/C][C]1[/C][/ROW]
[ROW][C]56-41[/C][C]-0.2[/C][C]-1.522[/C][C]1.122[/C][C]1[/C][/ROW]
[ROW][C]57-41[/C][C]-0.4[/C][C]-1.87[/C][C]1.07[/C][C]1[/C][/ROW]
[ROW][C]58-41[/C][C]-0.533[/C][C]-2.299[/C][C]1.233[/C][C]1[/C][/ROW]
[ROW][C]59-41[/C][C]-0.629[/C][C]-1.951[/C][C]0.694[/C][C]0.988[/C][/ROW]
[ROW][C]60-41[/C][C]-0.95[/C][C]-2.537[/C][C]0.637[/C][C]0.865[/C][/ROW]
[ROW][C]62-41[/C][C]0.133[/C][C]-1.633[/C][C]1.899[/C][C]1[/C][/ROW]
[ROW][C]66-41[/C][C]-0.2[/C][C]-1.787[/C][C]1.387[/C][C]1[/C][/ROW]
[ROW][C]43-42[/C][C]-1.667[/C][C]-4.565[/C][C]1.231[/C][C]0.904[/C][/ROW]
[ROW][C]44-42[/C][C]-0.7[/C][C]-3.514[/C][C]2.114[/C][C]1[/C][/ROW]
[ROW][C]45-42[/C][C]-1[/C][C]-4.794[/C][C]2.794[/C][C]1[/C][/ROW]
[ROW][C]46-42[/C][C]-1.1[/C][C]-3.914[/C][C]1.714[/C][C]0.999[/C][/ROW]
[ROW][C]48-42[/C][C]-1.154[/C][C]-3.938[/C][C]1.63[/C][C]0.998[/C][/ROW]
[ROW][C]49-42[/C][C]0[/C][C]-3.794[/C][C]3.794[/C][C]1[/C][/ROW]
[ROW][C]50-42[/C][C]-0.833[/C][C]-3.626[/C][C]1.959[/C][C]1[/C][/ROW]
[ROW][C]52-42[/C][C]-0.615[/C][C]-3.4[/C][C]2.169[/C][C]1[/C][/ROW]
[ROW][C]54-42[/C][C]-1[/C][C]-3.846[/C][C]1.846[/C][C]1[/C][/ROW]
[ROW][C]55-42[/C][C]-1[/C][C]-3.828[/C][C]1.828[/C][C]1[/C][/ROW]
[ROW][C]56-42[/C][C]-1[/C][C]-3.868[/C][C]1.868[/C][C]1[/C][/ROW]
[ROW][C]57-42[/C][C]-1.2[/C][C]-4.139[/C][C]1.739[/C][C]0.999[/C][/ROW]
[ROW][C]58-42[/C][C]-1.333[/C][C]-4.431[/C][C]1.765[/C][C]0.997[/C][/ROW]
[ROW][C]59-42[/C][C]-1.429[/C][C]-4.297[/C][C]1.44[/C][C]0.978[/C][/ROW]
[ROW][C]60-42[/C][C]-1.75[/C][C]-4.75[/C][C]1.25[/C][C]0.891[/C][/ROW]
[ROW][C]62-42[/C][C]-0.667[/C][C]-3.765[/C][C]2.431[/C][C]1[/C][/ROW]
[ROW][C]66-42[/C][C]-1[/C][C]-4[/C][C]2[/C][C]1[/C][/ROW]
[ROW][C]44-43[/C][C]0.967[/C][C]-0.419[/C][C]2.352[/C][C]0.62[/C][/ROW]
[ROW][C]45-43[/C][C]0.667[/C][C]-2.231[/C][C]3.565[/C][C]1[/C][/ROW]
[ROW][C]46-43[/C][C]0.567[/C][C]-0.819[/C][C]1.952[/C][C]0.998[/C][/ROW]
[ROW][C]48-43[/C][C]0.513[/C][C]-0.811[/C][C]1.837[/C][C]0.999[/C][/ROW]
[ROW][C]49-43[/C][C]1.667[/C][C]-1.231[/C][C]4.565[/C][C]0.904[/C][/ROW]
[ROW][C]50-43[/C][C]0.833[/C][C]-0.508[/C][C]2.175[/C][C]0.819[/C][/ROW]
[ROW][C]52-43[/C][C]1.051[/C][C]-0.273[/C][C]2.375[/C][C]0.351[/C][/ROW]
[ROW][C]54-43[/C][C]0.667[/C][C]-0.782[/C][C]2.116[/C][C]0.992[/C][/ROW]
[ROW][C]55-43[/C][C]0.667[/C][C]-0.747[/C][C]2.081[/C][C]0.989[/C][/ROW]
[ROW][C]56-43[/C][C]0.667[/C][C]-0.826[/C][C]2.159[/C][C]0.995[/C][/ROW]
[ROW][C]57-43[/C][C]0.467[/C][C]-1.158[/C][C]2.091[/C][C]1[/C][/ROW]
[ROW][C]58-43[/C][C]0.333[/C][C]-1.564[/C][C]2.23[/C][C]1[/C][/ROW]
[ROW][C]59-43[/C][C]0.238[/C][C]-1.255[/C][C]1.731[/C][C]1[/C][/ROW]
[ROW][C]60-43[/C][C]-0.083[/C][C]-1.815[/C][C]1.649[/C][C]1[/C][/ROW]
[ROW][C]62-43[/C][C]1[/C][C]-0.897[/C][C]2.897[/C][C]0.959[/C][/ROW]
[ROW][C]66-43[/C][C]0.667[/C][C]-1.065[/C][C]2.399[/C][C]0.999[/C][/ROW]
[ROW][C]45-44[/C][C]-0.3[/C][C]-3.114[/C][C]2.514[/C][C]1[/C][/ROW]
[ROW][C]46-44[/C][C]-0.4[/C][C]-1.6[/C][C]0.8[/C][C]1[/C][/ROW]
[ROW][C]48-44[/C][C]-0.454[/C][C]-1.582[/C][C]0.675[/C][C]0.999[/C][/ROW]
[ROW][C]49-44[/C][C]0.7[/C][C]-2.114[/C][C]3.514[/C][C]1[/C][/ROW]
[ROW][C]50-44[/C][C]-0.133[/C][C]-1.282[/C][C]1.015[/C][C]1[/C][/ROW]
[ROW][C]52-44[/C][C]0.085[/C][C]-1.044[/C][C]1.213[/C][C]1[/C][/ROW]
[ROW][C]54-44[/C][C]-0.3[/C][C]-1.573[/C][C]0.973[/C][C]1[/C][/ROW]
[ROW][C]55-44[/C][C]-0.3[/C][C]-1.533[/C][C]0.933[/C][C]1[/C][/ROW]
[ROW][C]56-44[/C][C]-0.3[/C][C]-1.622[/C][C]1.022[/C][C]1[/C][/ROW]
[ROW][C]57-44[/C][C]-0.5[/C][C]-1.97[/C][C]0.97[/C][C]1[/C][/ROW]
[ROW][C]58-44[/C][C]-0.633[/C][C]-2.399[/C][C]1.133[/C][C]1[/C][/ROW]
[ROW][C]59-44[/C][C]-0.729[/C][C]-2.051[/C][C]0.594[/C][C]0.936[/C][/ROW]
[ROW][C]60-44[/C][C]-1.05[/C][C]-2.637[/C][C]0.537[/C][C]0.721[/C][/ROW]
[ROW][C]62-44[/C][C]0.033[/C][C]-1.733[/C][C]1.799[/C][C]1[/C][/ROW]
[ROW][C]66-44[/C][C]-0.3[/C][C]-1.887[/C][C]1.287[/C][C]1[/C][/ROW]
[ROW][C]46-45[/C][C]-0.1[/C][C]-2.914[/C][C]2.714[/C][C]1[/C][/ROW]
[ROW][C]48-45[/C][C]-0.154[/C][C]-2.938[/C][C]2.63[/C][C]1[/C][/ROW]
[ROW][C]49-45[/C][C]1[/C][C]-2.794[/C][C]4.794[/C][C]1[/C][/ROW]
[ROW][C]50-45[/C][C]0.167[/C][C]-2.626[/C][C]2.959[/C][C]1[/C][/ROW]
[ROW][C]52-45[/C][C]0.385[/C][C]-2.4[/C][C]3.169[/C][C]1[/C][/ROW]
[ROW][C]54-45[/C][C]0[/C][C]-2.846[/C][C]2.846[/C][C]1[/C][/ROW]
[ROW][C]55-45[/C][C]0[/C][C]-2.828[/C][C]2.828[/C][C]1[/C][/ROW]
[ROW][C]56-45[/C][C]0[/C][C]-2.868[/C][C]2.868[/C][C]1[/C][/ROW]
[ROW][C]57-45[/C][C]-0.2[/C][C]-3.139[/C][C]2.739[/C][C]1[/C][/ROW]
[ROW][C]58-45[/C][C]-0.333[/C][C]-3.431[/C][C]2.765[/C][C]1[/C][/ROW]
[ROW][C]59-45[/C][C]-0.429[/C][C]-3.297[/C][C]2.44[/C][C]1[/C][/ROW]
[ROW][C]60-45[/C][C]-0.75[/C][C]-3.75[/C][C]2.25[/C][C]1[/C][/ROW]
[ROW][C]62-45[/C][C]0.333[/C][C]-2.765[/C][C]3.431[/C][C]1[/C][/ROW]
[ROW][C]66-45[/C][C]0[/C][C]-3[/C][C]3[/C][C]1[/C][/ROW]
[ROW][C]48-46[/C][C]-0.054[/C][C]-1.182[/C][C]1.075[/C][C]1[/C][/ROW]
[ROW][C]49-46[/C][C]1.1[/C][C]-1.714[/C][C]3.914[/C][C]0.999[/C][/ROW]
[ROW][C]50-46[/C][C]0.267[/C][C]-0.882[/C][C]1.415[/C][C]1[/C][/ROW]
[ROW][C]52-46[/C][C]0.485[/C][C]-0.644[/C][C]1.613[/C][C]0.997[/C][/ROW]
[ROW][C]54-46[/C][C]0.1[/C][C]-1.173[/C][C]1.373[/C][C]1[/C][/ROW]
[ROW][C]55-46[/C][C]0.1[/C][C]-1.133[/C][C]1.333[/C][C]1[/C][/ROW]
[ROW][C]56-46[/C][C]0.1[/C][C]-1.222[/C][C]1.422[/C][C]1[/C][/ROW]
[ROW][C]57-46[/C][C]-0.1[/C][C]-1.57[/C][C]1.37[/C][C]1[/C][/ROW]
[ROW][C]58-46[/C][C]-0.233[/C][C]-1.999[/C][C]1.533[/C][C]1[/C][/ROW]
[ROW][C]59-46[/C][C]-0.329[/C][C]-1.651[/C][C]0.994[/C][C]1[/C][/ROW]
[ROW][C]60-46[/C][C]-0.65[/C][C]-2.237[/C][C]0.937[/C][C]0.998[/C][/ROW]
[ROW][C]62-46[/C][C]0.433[/C][C]-1.333[/C][C]2.199[/C][C]1[/C][/ROW]
[ROW][C]66-46[/C][C]0.1[/C][C]-1.487[/C][C]1.687[/C][C]1[/C][/ROW]
[ROW][C]49-48[/C][C]1.154[/C][C]-1.63[/C][C]3.938[/C][C]0.998[/C][/ROW]
[ROW][C]50-48[/C][C]0.321[/C][C]-0.754[/C][C]1.395[/C][C]1[/C][/ROW]
[ROW][C]52-48[/C][C]0.538[/C][C]-0.514[/C][C]1.591[/C][C]0.971[/C][/ROW]
[ROW][C]54-48[/C][C]0.154[/C][C]-1.052[/C][C]1.359[/C][C]1[/C][/ROW]
[ROW][C]55-48[/C][C]0.154[/C][C]-1.01[/C][C]1.317[/C][C]1[/C][/ROW]
[ROW][C]56-48[/C][C]0.154[/C][C]-1.104[/C][C]1.412[/C][C]1[/C][/ROW]
[ROW][C]57-48[/C][C]-0.046[/C][C]-1.458[/C][C]1.366[/C][C]1[/C][/ROW]
[ROW][C]58-48[/C][C]-0.179[/C][C]-1.898[/C][C]1.539[/C][C]1[/C][/ROW]
[ROW][C]59-48[/C][C]-0.275[/C][C]-1.533[/C][C]0.983[/C][C]1[/C][/ROW]
[ROW][C]60-48[/C][C]-0.596[/C][C]-2.13[/C][C]0.938[/C][C]0.999[/C][/ROW]
[ROW][C]62-48[/C][C]0.487[/C][C]-1.231[/C][C]2.206[/C][C]1[/C][/ROW]
[ROW][C]66-48[/C][C]0.154[/C][C]-1.38[/C][C]1.688[/C][C]1[/C][/ROW]
[ROW][C]50-49[/C][C]-0.833[/C][C]-3.626[/C][C]1.959[/C][C]1[/C][/ROW]
[ROW][C]52-49[/C][C]-0.615[/C][C]-3.4[/C][C]2.169[/C][C]1[/C][/ROW]
[ROW][C]54-49[/C][C]-1[/C][C]-3.846[/C][C]1.846[/C][C]1[/C][/ROW]
[ROW][C]55-49[/C][C]-1[/C][C]-3.828[/C][C]1.828[/C][C]1[/C][/ROW]
[ROW][C]56-49[/C][C]-1[/C][C]-3.868[/C][C]1.868[/C][C]1[/C][/ROW]
[ROW][C]57-49[/C][C]-1.2[/C][C]-4.139[/C][C]1.739[/C][C]0.999[/C][/ROW]
[ROW][C]58-49[/C][C]-1.333[/C][C]-4.431[/C][C]1.765[/C][C]0.997[/C][/ROW]
[ROW][C]59-49[/C][C]-1.429[/C][C]-4.297[/C][C]1.44[/C][C]0.978[/C][/ROW]
[ROW][C]60-49[/C][C]-1.75[/C][C]-4.75[/C][C]1.25[/C][C]0.891[/C][/ROW]
[ROW][C]62-49[/C][C]-0.667[/C][C]-3.765[/C][C]2.431[/C][C]1[/C][/ROW]
[ROW][C]66-49[/C][C]-1[/C][C]-4[/C][C]2[/C][C]1[/C][/ROW]
[ROW][C]52-50[/C][C]0.218[/C][C]-0.856[/C][C]1.292[/C][C]1[/C][/ROW]
[ROW][C]54-50[/C][C]-0.167[/C][C]-1.391[/C][C]1.058[/C][C]1[/C][/ROW]
[ROW][C]55-50[/C][C]-0.167[/C][C]-1.35[/C][C]1.016[/C][C]1[/C][/ROW]
[ROW][C]56-50[/C][C]-0.167[/C][C]-1.443[/C][C]1.109[/C][C]1[/C][/ROW]
[ROW][C]57-50[/C][C]-0.367[/C][C]-1.795[/C][C]1.061[/C][C]1[/C][/ROW]
[ROW][C]58-50[/C][C]-0.5[/C][C]-2.232[/C][C]1.232[/C][C]1[/C][/ROW]
[ROW][C]59-50[/C][C]-0.595[/C][C]-1.871[/C][C]0.681[/C][C]0.99[/C][/ROW]
[ROW][C]60-50[/C][C]-0.917[/C][C]-2.466[/C][C]0.632[/C][C]0.877[/C][/ROW]
[ROW][C]62-50[/C][C]0.167[/C][C]-1.565[/C][C]1.899[/C][C]1[/C][/ROW]
[ROW][C]66-50[/C][C]-0.167[/C][C]-1.716[/C][C]1.382[/C][C]1[/C][/ROW]
[ROW][C]54-52[/C][C]-0.385[/C][C]-1.59[/C][C]0.821[/C][C]1[/C][/ROW]
[ROW][C]55-52[/C][C]-0.385[/C][C]-1.548[/C][C]0.779[/C][C]1[/C][/ROW]
[ROW][C]56-52[/C][C]-0.385[/C][C]-1.642[/C][C]0.873[/C][C]1[/C][/ROW]
[ROW][C]57-52[/C][C]-0.585[/C][C]-1.997[/C][C]0.827[/C][C]0.998[/C][/ROW]
[ROW][C]58-52[/C][C]-0.718[/C][C]-2.436[/C][C]1.001[/C][C]0.998[/C][/ROW]
[ROW][C]59-52[/C][C]-0.813[/C][C]-2.071[/C][C]0.445[/C][C]0.759[/C][/ROW]
[ROW][C]60-52[/C][C]-1.135[/C][C]-2.669[/C][C]0.399[/C][C]0.499[/C][/ROW]
[ROW][C]62-52[/C][C]-0.051[/C][C]-1.77[/C][C]1.667[/C][C]1[/C][/ROW]
[ROW][C]66-52[/C][C]-0.385[/C][C]-1.919[/C][C]1.149[/C][C]1[/C][/ROW]
[ROW][C]55-54[/C][C]0[/C][C]-1.304[/C][C]1.304[/C][C]1[/C][/ROW]
[ROW][C]56-54[/C][C]0[/C][C]-1.389[/C][C]1.389[/C][C]1[/C][/ROW]
[ROW][C]57-54[/C][C]-0.2[/C][C]-1.73[/C][C]1.33[/C][C]1[/C][/ROW]
[ROW][C]58-54[/C][C]-0.333[/C][C]-2.15[/C][C]1.483[/C][C]1[/C][/ROW]
[ROW][C]59-54[/C][C]-0.429[/C][C]-1.817[/C][C]0.96[/C][C]1[/C][/ROW]
[ROW][C]60-54[/C][C]-0.75[/C][C]-2.393[/C][C]0.893[/C][C]0.993[/C][/ROW]
[ROW][C]62-54[/C][C]0.333[/C][C]-1.483[/C][C]2.15[/C][C]1[/C][/ROW]
[ROW][C]66-54[/C][C]0[/C][C]-1.643[/C][C]1.643[/C][C]1[/C][/ROW]
[ROW][C]56-55[/C][C]0[/C][C]-1.352[/C][C]1.352[/C][C]1[/C][/ROW]
[ROW][C]57-55[/C][C]-0.2[/C][C]-1.697[/C][C]1.297[/C][C]1[/C][/ROW]
[ROW][C]58-55[/C][C]-0.333[/C][C]-2.122[/C][C]1.455[/C][C]1[/C][/ROW]
[ROW][C]59-55[/C][C]-0.429[/C][C]-1.781[/C][C]0.924[/C][C]1[/C][/ROW]
[ROW][C]60-55[/C][C]-0.75[/C][C]-2.362[/C][C]0.862[/C][C]0.991[/C][/ROW]
[ROW][C]62-55[/C][C]0.333[/C][C]-1.455[/C][C]2.122[/C][C]1[/C][/ROW]
[ROW][C]66-55[/C][C]0[/C][C]-1.612[/C][C]1.612[/C][C]1[/C][/ROW]
[ROW][C]57-56[/C][C]-0.2[/C][C]-1.771[/C][C]1.371[/C][C]1[/C][/ROW]
[ROW][C]58-56[/C][C]-0.333[/C][C]-2.185[/C][C]1.518[/C][C]1[/C][/ROW]
[ROW][C]59-56[/C][C]-0.429[/C][C]-1.863[/C][C]1.006[/C][C]1[/C][/ROW]
[ROW][C]60-56[/C][C]-0.75[/C][C]-2.432[/C][C]0.932[/C][C]0.995[/C][/ROW]
[ROW][C]62-56[/C][C]0.333[/C][C]-1.518[/C][C]2.185[/C][C]1[/C][/ROW]
[ROW][C]66-56[/C][C]0[/C][C]-1.682[/C][C]1.682[/C][C]1[/C][/ROW]
[ROW][C]58-57[/C][C]-0.133[/C][C]-2.093[/C][C]1.826[/C][C]1[/C][/ROW]
[ROW][C]59-57[/C][C]-0.229[/C][C]-1.8[/C][C]1.342[/C][C]1[/C][/ROW]
[ROW][C]60-57[/C][C]-0.55[/C][C]-2.35[/C][C]1.25[/C][C]1[/C][/ROW]
[ROW][C]62-57[/C][C]0.533[/C][C]-1.426[/C][C]2.493[/C][C]1[/C][/ROW]
[ROW][C]66-57[/C][C]0.2[/C][C]-1.6[/C][C]2[/C][C]1[/C][/ROW]
[ROW][C]59-58[/C][C]-0.095[/C][C]-1.947[/C][C]1.756[/C][C]1[/C][/ROW]
[ROW][C]60-58[/C][C]-0.417[/C][C]-2.466[/C][C]1.633[/C][C]1[/C][/ROW]
[ROW][C]62-58[/C][C]0.667[/C][C]-1.524[/C][C]2.857[/C][C]1[/C][/ROW]
[ROW][C]66-58[/C][C]0.333[/C][C]-1.716[/C][C]2.383[/C][C]1[/C][/ROW]
[ROW][C]60-59[/C][C]-0.321[/C][C]-2.003[/C][C]1.36[/C][C]1[/C][/ROW]
[ROW][C]62-59[/C][C]0.762[/C][C]-1.09[/C][C]2.613[/C][C]0.998[/C][/ROW]
[ROW][C]66-59[/C][C]0.429[/C][C]-1.253[/C][C]2.11[/C][C]1[/C][/ROW]
[ROW][C]62-60[/C][C]1.083[/C][C]-0.966[/C][C]3.133[/C][C]0.958[/C][/ROW]
[ROW][C]66-60[/C][C]0.75[/C][C]-1.147[/C][C]2.647[/C][C]0.999[/C][/ROW]
[ROW][C]66-62[/C][C]-0.333[/C][C]-2.383[/C][C]1.716[/C][C]1[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223312&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223312&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Tukey Honest Significant Difference Comparisons
	diff	lwr	upr	p adj
31-30	1.5	-1.5	4.5	0.977
32-30	1	-1.324	3.324	0.997
34-30	0.5	-1.397	2.397	1
36-30	1.1	-0.7	2.9	0.84
37-30	0.5	-1.3	2.3	1
39-30	0.3	-1.287	1.887	1
41-30	0.7	-0.887	2.287	0.995
42-30	1.5	-1.5	4.5	0.977
43-30	-0.167	-1.899	1.565	1
44-30	0.8	-0.787	2.387	0.975
45-30	0.5	-2.5	3.5	1
46-30	0.4	-1.187	1.987	1
48-30	0.346	-1.188	1.88	1
49-30	1.5	-1.5	4.5	0.977
50-30	0.667	-0.882	2.216	0.997
52-30	0.885	-0.649	2.419	0.902
54-30	0.5	-1.143	2.143	1
55-30	0.5	-1.112	2.112	1
56-30	0.5	-1.182	2.182	1
57-30	0.3	-1.5	2.1	1
58-30	0.167	-1.883	2.216	1
59-30	0.071	-1.61	1.753	1
60-30	-0.25	-2.147	1.647	1
62-30	0.833	-1.216	2.883	0.999
66-30	0.5	-1.397	2.397	1
32-31	-0.5	-3.786	2.786	1
34-31	-1	-4	2	1
36-31	-0.4	-3.339	2.539	1
37-31	-1	-3.939	1.939	1
39-31	-1.2	-4.014	1.614	0.997
41-31	-0.8	-3.614	2.014	1
42-31	0	-3.794	3.794	1
43-31	-1.667	-4.565	1.231	0.904
44-31	-0.7	-3.514	2.114	1
45-31	-1	-4.794	2.794	1
46-31	-1.1	-3.914	1.714	0.999
48-31	-1.154	-3.938	1.63	0.998
49-31	0	-3.794	3.794	1
50-31	-0.833	-3.626	1.959	1
52-31	-0.615	-3.4	2.169	1
54-31	-1	-3.846	1.846	1
55-31	-1	-3.828	1.828	1
56-31	-1	-3.868	1.868	1
57-31	-1.2	-4.139	1.739	0.999
58-31	-1.333	-4.431	1.765	0.997
59-31	-1.429	-4.297	1.44	0.978
60-31	-1.75	-4.75	1.25	0.891
62-31	-0.667	-3.765	2.431	1
66-31	-1	-4	2	1
34-32	-0.5	-2.824	1.824	1
36-32	0.1	-2.145	2.345	1
37-32	-0.5	-2.745	1.745	1
39-32	-0.7	-2.778	1.378	1
41-32	-0.3	-2.378	1.778	1
42-32	0.5	-2.786	3.786	1
43-32	-1.167	-3.357	1.024	0.955
44-32	-0.2	-2.278	1.878	1
45-32	-0.5	-3.786	2.786	1
46-32	-0.6	-2.678	1.478	1
48-32	-0.654	-2.692	1.384	1
49-32	0.5	-2.786	3.786	1
50-32	-0.333	-2.383	1.716	1
52-32	-0.115	-2.153	1.922	1
54-32	-0.5	-2.621	1.621	1
55-32	-0.5	-2.597	1.597	1
56-32	-0.5	-2.651	1.651	1
57-32	-0.7	-2.945	1.545	1
58-32	-0.833	-3.283	1.616	1
59-32	-0.929	-3.08	1.223	0.997
60-32	-1.25	-3.574	1.074	0.95
62-32	-0.167	-2.616	2.283	1
66-32	-0.5	-2.824	1.824	1
36-34	0.6	-1.2	2.4	1
37-34	0	-1.8	1.8	1
39-34	-0.2	-1.787	1.387	1
41-34	0.2	-1.387	1.787	1
42-34	1	-2	4	1
43-34	-0.667	-2.399	1.065	0.999
44-34	0.3	-1.287	1.887	1
45-34	0	-3	3	1
46-34	-0.1	-1.687	1.487	1
48-34	-0.154	-1.688	1.38	1
49-34	1	-2	4	1
50-34	0.167	-1.382	1.716	1
52-34	0.385	-1.149	1.919	1
54-34	0	-1.643	1.643	1
55-34	0	-1.612	1.612	1
56-34	0	-1.682	1.682	1
57-34	-0.2	-2	1.6	1
58-34	-0.333	-2.383	1.716	1
59-34	-0.429	-2.11	1.253	1
60-34	-0.75	-2.647	1.147	0.999
62-34	0.333	-1.716	2.383	1
66-34	0	-1.897	1.897	1
37-36	-0.6	-2.297	1.097	1
39-36	-0.8	-2.27	0.67	0.943
41-36	-0.4	-1.87	1.07	1
42-36	0.4	-2.539	3.339	1
43-36	-1.267	-2.891	0.358	0.388
44-36	-0.3	-1.77	1.17	1
45-36	-0.6	-3.539	2.339	1
46-36	-0.7	-2.17	0.77	0.987
48-36	-0.754	-2.166	0.658	0.953
49-36	0.4	-2.539	3.339	1
50-36	-0.433	-1.861	0.995	1
52-36	-0.215	-1.627	1.197	1
54-36	-0.6	-2.13	0.93	0.999
55-36	-0.6	-2.097	0.897	0.999
56-36	-0.6	-2.171	0.971	0.999
57-36	-0.8	-2.497	0.897	0.989
58-36	-0.933	-2.893	1.026	0.987
59-36	-1.029	-2.6	0.542	0.738
60-36	-1.35	-3.15	0.45	0.469
62-36	-0.267	-2.226	1.693	1
66-36	-0.6	-2.4	1.2	1
39-37	-0.2	-1.67	1.27	1
41-37	0.2	-1.27	1.67	1
42-37	1	-1.939	3.939	1
43-37	-0.667	-2.291	0.958	0.998
44-37	0.3	-1.17	1.77	1
45-37	0	-2.939	2.939	1
46-37	-0.1	-1.57	1.37	1
48-37	-0.154	-1.566	1.258	1
49-37	1	-1.939	3.939	1
50-37	0.167	-1.261	1.595	1
52-37	0.385	-1.027	1.797	1
54-37	0	-1.53	1.53	1
55-37	0	-1.497	1.497	1
56-37	0	-1.571	1.571	1
57-37	-0.2	-1.897	1.497	1
58-37	-0.333	-2.293	1.626	1
59-37	-0.429	-2	1.142	1
60-37	-0.75	-2.55	1.05	0.998
62-37	0.333	-1.626	2.293	1
66-37	0	-1.8	1.8	1
41-39	0.4	-0.8	1.6	1
42-39	1.2	-1.614	4.014	0.997
43-39	-0.467	-1.852	0.919	1
44-39	0.5	-0.7	1.7	0.998
45-39	0.2	-2.614	3.014	1
46-39	0.1	-1.1	1.3	1
48-39	0.046	-1.082	1.175	1
49-39	1.2	-1.614	4.014	0.997
50-39	0.367	-0.782	1.515	1
52-39	0.585	-0.544	1.713	0.966
54-39	0.2	-1.073	1.473	1
55-39	0.2	-1.033	1.433	1
56-39	0.2	-1.122	1.522	1
57-39	0	-1.47	1.47	1
58-39	-0.133	-1.899	1.633	1
59-39	-0.229	-1.551	1.094	1
60-39	-0.55	-2.137	1.037	1
62-39	0.533	-1.233	2.299	1
66-39	0.2	-1.387	1.787	1
42-41	0.8	-2.014	3.614	1
43-41	-0.867	-2.252	0.519	0.809
44-41	0.1	-1.1	1.3	1
45-41	-0.2	-3.014	2.614	1
46-41	-0.3	-1.5	0.9	1
48-41	-0.354	-1.482	0.775	1
49-41	0.8	-2.014	3.614	1
50-41	-0.033	-1.182	1.115	1
52-41	0.185	-0.944	1.313	1
54-41	-0.2	-1.473	1.073	1
55-41	-0.2	-1.433	1.033	1
56-41	-0.2	-1.522	1.122	1
57-41	-0.4	-1.87	1.07	1
58-41	-0.533	-2.299	1.233	1
59-41	-0.629	-1.951	0.694	0.988
60-41	-0.95	-2.537	0.637	0.865
62-41	0.133	-1.633	1.899	1
66-41	-0.2	-1.787	1.387	1
43-42	-1.667	-4.565	1.231	0.904
44-42	-0.7	-3.514	2.114	1
45-42	-1	-4.794	2.794	1
46-42	-1.1	-3.914	1.714	0.999
48-42	-1.154	-3.938	1.63	0.998
49-42	0	-3.794	3.794	1
50-42	-0.833	-3.626	1.959	1
52-42	-0.615	-3.4	2.169	1
54-42	-1	-3.846	1.846	1
55-42	-1	-3.828	1.828	1
56-42	-1	-3.868	1.868	1
57-42	-1.2	-4.139	1.739	0.999
58-42	-1.333	-4.431	1.765	0.997
59-42	-1.429	-4.297	1.44	0.978
60-42	-1.75	-4.75	1.25	0.891
62-42	-0.667	-3.765	2.431	1
66-42	-1	-4	2	1
44-43	0.967	-0.419	2.352	0.62
45-43	0.667	-2.231	3.565	1
46-43	0.567	-0.819	1.952	0.998
48-43	0.513	-0.811	1.837	0.999
49-43	1.667	-1.231	4.565	0.904
50-43	0.833	-0.508	2.175	0.819
52-43	1.051	-0.273	2.375	0.351
54-43	0.667	-0.782	2.116	0.992
55-43	0.667	-0.747	2.081	0.989
56-43	0.667	-0.826	2.159	0.995
57-43	0.467	-1.158	2.091	1
58-43	0.333	-1.564	2.23	1
59-43	0.238	-1.255	1.731	1
60-43	-0.083	-1.815	1.649	1
62-43	1	-0.897	2.897	0.959
66-43	0.667	-1.065	2.399	0.999
45-44	-0.3	-3.114	2.514	1
46-44	-0.4	-1.6	0.8	1
48-44	-0.454	-1.582	0.675	0.999
49-44	0.7	-2.114	3.514	1
50-44	-0.133	-1.282	1.015	1
52-44	0.085	-1.044	1.213	1
54-44	-0.3	-1.573	0.973	1
55-44	-0.3	-1.533	0.933	1
56-44	-0.3	-1.622	1.022	1
57-44	-0.5	-1.97	0.97	1
58-44	-0.633	-2.399	1.133	1
59-44	-0.729	-2.051	0.594	0.936
60-44	-1.05	-2.637	0.537	0.721
62-44	0.033	-1.733	1.799	1
66-44	-0.3	-1.887	1.287	1
46-45	-0.1	-2.914	2.714	1
48-45	-0.154	-2.938	2.63	1
49-45	1	-2.794	4.794	1
50-45	0.167	-2.626	2.959	1
52-45	0.385	-2.4	3.169	1
54-45	0	-2.846	2.846	1
55-45	0	-2.828	2.828	1
56-45	0	-2.868	2.868	1
57-45	-0.2	-3.139	2.739	1
58-45	-0.333	-3.431	2.765	1
59-45	-0.429	-3.297	2.44	1
60-45	-0.75	-3.75	2.25	1
62-45	0.333	-2.765	3.431	1
66-45	0	-3	3	1
48-46	-0.054	-1.182	1.075	1
49-46	1.1	-1.714	3.914	0.999
50-46	0.267	-0.882	1.415	1
52-46	0.485	-0.644	1.613	0.997
54-46	0.1	-1.173	1.373	1
55-46	0.1	-1.133	1.333	1
56-46	0.1	-1.222	1.422	1
57-46	-0.1	-1.57	1.37	1
58-46	-0.233	-1.999	1.533	1
59-46	-0.329	-1.651	0.994	1
60-46	-0.65	-2.237	0.937	0.998
62-46	0.433	-1.333	2.199	1
66-46	0.1	-1.487	1.687	1
49-48	1.154	-1.63	3.938	0.998
50-48	0.321	-0.754	1.395	1
52-48	0.538	-0.514	1.591	0.971
54-48	0.154	-1.052	1.359	1
55-48	0.154	-1.01	1.317	1
56-48	0.154	-1.104	1.412	1
57-48	-0.046	-1.458	1.366	1
58-48	-0.179	-1.898	1.539	1
59-48	-0.275	-1.533	0.983	1
60-48	-0.596	-2.13	0.938	0.999
62-48	0.487	-1.231	2.206	1
66-48	0.154	-1.38	1.688	1
50-49	-0.833	-3.626	1.959	1
52-49	-0.615	-3.4	2.169	1
54-49	-1	-3.846	1.846	1
55-49	-1	-3.828	1.828	1
56-49	-1	-3.868	1.868	1
57-49	-1.2	-4.139	1.739	0.999
58-49	-1.333	-4.431	1.765	0.997
59-49	-1.429	-4.297	1.44	0.978
60-49	-1.75	-4.75	1.25	0.891
62-49	-0.667	-3.765	2.431	1
66-49	-1	-4	2	1
52-50	0.218	-0.856	1.292	1
54-50	-0.167	-1.391	1.058	1
55-50	-0.167	-1.35	1.016	1
56-50	-0.167	-1.443	1.109	1
57-50	-0.367	-1.795	1.061	1
58-50	-0.5	-2.232	1.232	1
59-50	-0.595	-1.871	0.681	0.99
60-50	-0.917	-2.466	0.632	0.877
62-50	0.167	-1.565	1.899	1
66-50	-0.167	-1.716	1.382	1
54-52	-0.385	-1.59	0.821	1
55-52	-0.385	-1.548	0.779	1
56-52	-0.385	-1.642	0.873	1
57-52	-0.585	-1.997	0.827	0.998
58-52	-0.718	-2.436	1.001	0.998
59-52	-0.813	-2.071	0.445	0.759
60-52	-1.135	-2.669	0.399	0.499
62-52	-0.051	-1.77	1.667	1
66-52	-0.385	-1.919	1.149	1
55-54	0	-1.304	1.304	1
56-54	0	-1.389	1.389	1
57-54	-0.2	-1.73	1.33	1
58-54	-0.333	-2.15	1.483	1
59-54	-0.429	-1.817	0.96	1
60-54	-0.75	-2.393	0.893	0.993
62-54	0.333	-1.483	2.15	1
66-54	0	-1.643	1.643	1
56-55	0	-1.352	1.352	1
57-55	-0.2	-1.697	1.297	1
58-55	-0.333	-2.122	1.455	1
59-55	-0.429	-1.781	0.924	1
60-55	-0.75	-2.362	0.862	0.991
62-55	0.333	-1.455	2.122	1
66-55	0	-1.612	1.612	1
57-56	-0.2	-1.771	1.371	1
58-56	-0.333	-2.185	1.518	1
59-56	-0.429	-1.863	1.006	1
60-56	-0.75	-2.432	0.932	0.995
62-56	0.333	-1.518	2.185	1
66-56	0	-1.682	1.682	1
58-57	-0.133	-2.093	1.826	1
59-57	-0.229	-1.8	1.342	1
60-57	-0.55	-2.35	1.25	1
62-57	0.533	-1.426	2.493	1
66-57	0.2	-1.6	2	1
59-58	-0.095	-1.947	1.756	1
60-58	-0.417	-2.466	1.633	1
62-58	0.667	-1.524	2.857	1
66-58	0.333	-1.716	2.383	1
60-59	-0.321	-2.003	1.36	1
62-59	0.762	-1.09	2.613	0.998
66-59	0.429	-1.253	2.11	1
62-60	1.083	-0.966	3.133	0.958
66-60	0.75	-1.147	2.647	0.999
66-62	-0.333	-2.383	1.716	1

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	25	1.038	0.424
	132

\begin{tabular}{lllllllll}
\hline
Levenes Test for Homogeneity of Variance \tabularnewline
  & Df & F value & Pr(>F) \tabularnewline
Group & 25 & 1.038 & 0.424 \tabularnewline
  & 132 &   &   \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=223312&T=4

[TABLE]
[ROW][C]Levenes Test for Homogeneity of Variance[/C][/ROW]
[ROW][C] [/C][C]Df[/C][C]F value[/C][C]Pr(>F)[/C][/ROW]
[ROW][C]Group[/C][C]25[/C][C]1.038[/C][C]0.424[/C][/ROW]
[ROW][C] [/C][C]132[/C][C] [/C][C] [/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=223312&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=223312&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Levenes Test for Homogeneity of Variance
	Df	F value	Pr(>F)
Group	25	1.038	0.424
	132

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 1 ; par2 = 2 ; par3 = TRUE ;

Parameters (R input):

par1 = 1 ; par2 = 2 ; par3 = TRUE ;

R code (references can be found in the software module):

cat1 <- as.numeric(par1) #
cat2<- as.numeric(par2) #
intercept<-as.logical(par3)
x <- t(x)
x1<-as.numeric(x[,cat1])
f1<-as.character(x[,cat2])
xdf<-data.frame(x1,f1)
(V1<-dimnames(y)[[1]][cat1])
(V2<-dimnames(y)[[1]][cat2])
names(xdf)<-c('Response', 'Treatment')
if(intercept == FALSE) (lmxdf<-lm(Response ~ Treatment - 1, data = xdf) ) else (lmxdf<-lm(Response ~ Treatment, data = xdf) )
(aov.xdf<-aov(lmxdf) )
(anova.xdf<-anova(lmxdf) )
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Model', length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, paste(V1, ' ~ ', V2), length(lmxdf$coefficients)+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'means',,TRUE)
for(i in 1:length(lmxdf$coefficients)){
a<-table.element(a, round(lmxdf$coefficients[i], digits=3),,FALSE)
}
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'ANOVA Statistics', 5+1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ',,TRUE)
a<-table.element(a, 'Df',,FALSE)
a<-table.element(a, 'Sum Sq',,FALSE)
a<-table.element(a, 'Mean Sq',,FALSE)
a<-table.element(a, 'F value',,FALSE)
a<-table.element(a, 'Pr(>F)',,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, V2,,TRUE)
a<-table.element(a, anova.xdf$Df[1],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'F value'[1], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Pr(>F)'[1], digits=3),,FALSE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residuals',,TRUE)
a<-table.element(a, anova.xdf$Df[2],,FALSE)
a<-table.element(a, round(anova.xdf$'Sum Sq'[2], digits=3),,FALSE)
a<-table.element(a, round(anova.xdf$'Mean Sq'[2], digits=3),,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.element(a, ' ',,FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
bitmap(file='anovaplot.png')
boxplot(Response ~ Treatment, data=xdf, xlab=V2, ylab=V1)
dev.off()
if(intercept==TRUE){
thsd<-TukeyHSD(aov.xdf)
bitmap(file='TukeyHSDPlot.png')
plot(thsd)
dev.off()
}
if(intercept==TRUE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Tukey Honest Significant Difference Comparisons', 5,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, ' ', 1, TRUE)
for(i in 1:4){
a<-table.element(a,colnames(thsd[[1]])[i], 1, TRUE)
}
a<-table.row.end(a)
for(i in 1:length(rownames(thsd[[1]]))){
a<-table.row.start(a)
a<-table.element(a,rownames(thsd[[1]])[i], 1, TRUE)
for(j in 1:4){
a<-table.element(a,round(thsd[[1]][i,j], digits=3), 1, FALSE)
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
if(intercept==FALSE){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'TukeyHSD Message', 1,TRUE)
a<-table.row.end(a)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Must Include Intercept to use Tukey Test ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')
}
library(car)
lt.lmxdf<-levene.test(lmxdf)
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Levenes Test for Homogeneity of Variance', 4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
for (i in 1:3){
a<-table.element(a,names(lt.lmxdf)[i], 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Group', 1, TRUE)
for (i in 1:3){
a<-table.element(a,round(lt.lmxdf[[i]][1], digits=3), 1, FALSE)
}
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,' ', 1, TRUE)
a<-table.element(a,lt.lmxdf[[1]][2], 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.element(a,' ', 1, FALSE)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code