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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_notchedbox1.wasp
Title produced by softwareNotched Boxplots
Date of computationTue, 19 Oct 2010 10:47:39 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Oct/19/t12874851883t76jitidy0efvp.htm/, Retrieved Mon, 29 Apr 2024 07:39:00 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=86182, Retrieved Mon, 29 Apr 2024 07:39:00 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact145
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Notched Boxplots] [Academic Motivati...] [2010-10-12 12:51:42] [b98453cac15ba1066b407e146608df68]
F    D  [Notched Boxplots] [WS3 Q4 - Males] [2010-10-19 09:22:21] [afe9379cca749d06b3d6872e02cc47ed]
-   PD    [Notched Boxplots] [Mannen (1)] [2010-10-19 10:35:10] [945bcebba5e7ac34a41d6888338a1ba9]
F    D        [Notched Boxplots] [Mannen (1)] [2010-10-19 10:47:39] [514029464b0621595fe21c9fa38c7009] [Current]
F               [Notched Boxplots] [Vrouwen (2)] [2010-10-19 10:50:14] [945bcebba5e7ac34a41d6888338a1ba9]
-                 [Notched Boxplots] [] [2010-10-19 15:53:49] [f72e5115d7374b3b3f29ba3966e5379d]
-               [Notched Boxplots] [] [2010-10-19 15:52:56] [f72e5115d7374b3b3f29ba3966e5379d]
Feedback Forum
2010-10-20 17:06:18 [Pascal Wijnen] [reply
De student komt tot juiste boxplots. Enkel de interpretatie is niet correct. Er is wel degelijk een verschil. De vrouwen zijn vaker meer gemotiveerd dan de mannen. De mannen zijn ook meer gedemotiveerd.
2010-10-24 14:51:59 [74fe445bf87529db3dd1409469f9e838] [reply
Foute berekening. De student heeft de gegevens niet gefilterd (op man/vrouw) en verkrijgt daarom identieke boxplots voor mannen en vrouwen.

Post a new message
Dataseries X:
20	16	15	23	17	23	4
19	19	18	24	17	20	6
20	16	8	22	18	20	8
25	23	19	20	21	21	4
22	12	20	24	20	24	8
26	19	16	27	28	22	5
22	16	14	28	19	23	4
19	13	14	27	22	20	4
24	20	8	24	16	25	4
26	27	23	23	18	23	4
13	8	9	24	25	27	4
22	13	15	27	17	27	8
21	15	19	27	14	22	7
7	5	6	28	11	24	4
17	14	11	27	27	25	5
25	24	17	23	20	22	4
25	24	17	24	22	28	4
19	9	5	28	22	28	4
23	19	15	27	21	27	4
22	19	17	25	23	25	4
21	18	20	19	17	16	15
18	12	7	24	24	28	4
22	25	15	20	14	21	4
18	19	15	28	17	24	7
23	20	10	26	23	27	4
20	24	14	23	24	14	6
15	12	9	23	24	14	16
21	17	18	20	8	27	6
18	16	17	11	22	20	9
19	11	14	24	23	21	4
22	20	16	25	25	22	5
16	11	10	23	21	21	4
18	20	10	18	24	12	5
20	19	14	20	15	20	4
24	17	10	20	22	24	4
24	18	9	24	21	19	4
18	17	12	23	25	28	6
21	27	16	25	16	23	4
17	19	18	28	28	27	18
22	19	18	26	23	22	4
16	11	9	26	21	27	5
21	22	19	23	21	26	4
24	20	23	22	26	22	10
24	24	22	24	22	21	5
16	16	14	21	21	19	8
16	16	14	20	18	24	8
18	11	12	22	12	19	5
20	20	12	20	25	26	4
24	20	16	25	17	22	5
17	12	11	20	24	28	14
19	8	14	22	15	21	8
20	21	13	23	13	23	8
15	18	9	25	26	28	4
22	16	13	23	16	10	6
23	18	19	23	24	24	4
16	20	13	22	21	21	7
19	20	13	24	20	21	7
19	17	14	25	14	24	6
21	15	11	21	25	24	4
24	17	18	12	25	25	8
22	23	19	17	20	25	4
18	19	15	20	22	23	10
24	17	19	23	20	21	6
24	12	15	23	26	16	4
22	24	17	20	18	17	4
23	18	8	28	22	25	4
22	20	10	24	24	24	5
20	16	12	24	17	23	4
18	20	12	24	24	25	6
25	22	20	24	20	23	4
16	16	12	28	19	28	7
20	17	14	25	20	26	8
15	12	10	21	15	22	8
19	14	18	25	23	19	10
19	23	18	25	26	26	8
16	15	7	18	22	18	5
17	17	18	17	20	18	12
28	28	9	26	24	25	4
25	23	22	28	26	27	4
20	13	11	21	21	12	6
16	19	15	27	25	15	7
23	13	14	22	13	21	8
21	22	14	21	20	23	11
23	20	20	25	22	22	8
18	10	8	22	23	21	6
20	17	17	23	28	24	7
9	18	9	26	22	27	5
25	23	22	19	20	22	8
20	17	10	25	6	28	4
21	19	12	21	21	26	5
22	18	12	13	20	10	6
27	22	20	24	18	19	4
18	16	18	25	23	22	6
16	16	16	26	20	21	16
22	16	13	25	24	24	6
20	16	17	25	22	25	6
20	18	17	22	21	21	4




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86182&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]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86182&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86182&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11318202328
I21016182025
I3511141823
E11721242528
E21118212428
E31521232528
AM445814

\begin{tabular}{lllllllll}
\hline
Boxplot statistics \tabularnewline
Variable & lower whisker & lower hinge & median & upper hinge & upper whisker \tabularnewline
I1 & 13 & 18 & 20 & 23 & 28 \tabularnewline
I2 & 10 & 16 & 18 & 20 & 25 \tabularnewline
I3 & 5 & 11 & 14 & 18 & 23 \tabularnewline
E1 & 17 & 21 & 24 & 25 & 28 \tabularnewline
E2 & 11 & 18 & 21 & 24 & 28 \tabularnewline
E3 & 15 & 21 & 23 & 25 & 28 \tabularnewline
AM & 4 & 4 & 5 & 8 & 14 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86182&T=1

[TABLE]
[ROW][C]Boxplot statistics[/C][/ROW]
[ROW][C]Variable[/C][C]lower whisker[/C][C]lower hinge[/C][C]median[/C][C]upper hinge[/C][C]upper whisker[/C][/ROW]
[ROW][C]I1[/C][C]13[/C][C]18[/C][C]20[/C][C]23[/C][C]28[/C][/ROW]
[ROW][C]I2[/C][C]10[/C][C]16[/C][C]18[/C][C]20[/C][C]25[/C][/ROW]
[ROW][C]I3[/C][C]5[/C][C]11[/C][C]14[/C][C]18[/C][C]23[/C][/ROW]
[ROW][C]E1[/C][C]17[/C][C]21[/C][C]24[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]E2[/C][C]11[/C][C]18[/C][C]21[/C][C]24[/C][C]28[/C][/ROW]
[ROW][C]E3[/C][C]15[/C][C]21[/C][C]23[/C][C]25[/C][C]28[/C][/ROW]
[ROW][C]AM[/C][C]4[/C][C]4[/C][C]5[/C][C]8[/C][C]14[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86182&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86182&T=1

As an alternative you can also use a QR Code:  

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

Boxplot statistics
Variablelower whiskerlower hingemedianupper hingeupper whisker
I11318202328
I21016182025
I3511141823
E11721242528
E21118212428
E31521232528
AM445814







Boxplot Notches
Variablelower boundmedianupper bound
I119.19787652954442020.8021234704556
I217.35830122363561818.6416987763644
I312.87702714136221415.1229728586378
E123.35830122363562424.6416987763644
E220.03745183545332121.9625481645467
E322.35830122363562323.6416987763644
AM4.3583012236355555.64169877636445

\begin{tabular}{lllllllll}
\hline
Boxplot Notches \tabularnewline
Variable & lower bound & median & upper bound \tabularnewline
I1 & 19.1978765295444 & 20 & 20.8021234704556 \tabularnewline
I2 & 17.3583012236356 & 18 & 18.6416987763644 \tabularnewline
I3 & 12.8770271413622 & 14 & 15.1229728586378 \tabularnewline
E1 & 23.3583012236356 & 24 & 24.6416987763644 \tabularnewline
E2 & 20.0374518354533 & 21 & 21.9625481645467 \tabularnewline
E3 & 22.3583012236356 & 23 & 23.6416987763644 \tabularnewline
AM & 4.35830122363555 & 5 & 5.64169877636445 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=86182&T=2

[TABLE]
[ROW][C]Boxplot Notches[/C][/ROW]
[ROW][C]Variable[/C][C]lower bound[/C][C]median[/C][C]upper bound[/C][/ROW]
[ROW][C]I1[/C][C]19.1978765295444[/C][C]20[/C][C]20.8021234704556[/C][/ROW]
[ROW][C]I2[/C][C]17.3583012236356[/C][C]18[/C][C]18.6416987763644[/C][/ROW]
[ROW][C]I3[/C][C]12.8770271413622[/C][C]14[/C][C]15.1229728586378[/C][/ROW]
[ROW][C]E1[/C][C]23.3583012236356[/C][C]24[/C][C]24.6416987763644[/C][/ROW]
[ROW][C]E2[/C][C]20.0374518354533[/C][C]21[/C][C]21.9625481645467[/C][/ROW]
[ROW][C]E3[/C][C]22.3583012236356[/C][C]23[/C][C]23.6416987763644[/C][/ROW]
[ROW][C]AM[/C][C]4.35830122363555[/C][C]5[/C][C]5.64169877636445[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=86182&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=86182&T=2

As an alternative you can also use a QR Code:  

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

Boxplot Notches
Variablelower boundmedianupper bound
I119.19787652954442020.8021234704556
I217.35830122363561818.6416987763644
I312.87702714136221415.1229728586378
E123.35830122363562424.6416987763644
E220.03745183545332121.9625481645467
E322.35830122363562323.6416987763644
AM4.3583012236355555.64169877636445



Parameters (Session):
par1 = grey ;
Parameters (R input):
par1 = grey ;
R code (references can be found in the software module):
z <- as.data.frame(t(y))
bitmap(file='test1.png')
(r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1))
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,hyperlink('lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE)
a<-table.element(a,hyperlink('lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE)
a<-table.element(a,hyperlink('central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE)
a<-table.element(a,hyperlink('upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE)
a<-table.element(a,hyperlink('upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
for (j in 1:5)
{
a<-table.element(a,r$stats[j,i])
}
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Boxplot Notches',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',1,TRUE)
a<-table.element(a,'lower bound',1,TRUE)
a<-table.element(a,'median',1,TRUE)
a<-table.element(a,'upper bound',1,TRUE)
a<-table.row.end(a)
for (i in 1:length(y[,1]))
{
a<-table.row.start(a)
a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE)
a<-table.element(a,r$conf[1,i])
a<-table.element(a,r$stats[3,i])
a<-table.element(a,r$conf[2,i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')