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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Moduletest_mean.wasp
Title produced by softwarePopulation Mean Test
Date of computationTue, 26 Oct 2010 14:58:06 +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/26/t1288105314uog5qkxnarr7mnc.htm/, Retrieved Sun, 28 Apr 2024 14:16:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=89251, Retrieved Sun, 28 Apr 2024 14:16:13 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact163

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Population Mean Test] [Treatment 'T'] [2010-10-22 13:01:22] [6bc4f9343b7ea3ef5a59412d1f72bb2b]
F    D    [Population Mean Test] [Hypothese theoret...] [2010-10-26 14:58:06] [e26438ba7029caa0090c95690001dbf5] [Current]
Feedback Forum
2010-11-02 14:46:13 [1951de723fd2749e12bc2f1a75bd3e74] [reply] 
Je hebt de verkeerde data gebruikt voor je berekening daardoor is je conclusie fout. Je moest de data uit de laatste kolom Tot-Pre gebruiken.

We gaan de hypotheses testen door een t-verdeling te nemen.
Voor treatment E zien we volgende gegevens:
Sample size : 33
Sample SD : 0,435
Confidence : 0,95 (omdat we 5% type 1 error hebben)
Null hypothesis : 0
Het is een eenzijdige toets dus we kijken enkel naar de linkerzijde van het betrouwbaarheidsinterval. [0,629 ; + INF] De kritieke waarde (afgerond) 0,63 zorgt ervoor dat de oppervlakte van het betrouwbaarheidsinterval precies 95% is. Als nul buiten het betrouwbaarheidsinterval ligt dan moeten we Null hypothese verwerpen. 75 % (sample mean) van de leerlingen leert iets dankzij treatment E.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
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0,25
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1,5
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0,5
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0,25
0,5
-1
0,75
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0,25
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Tables (Output of Computation)





Population Mean Test - Ungrouped Data
StatisticValue
H0: mean =
H1: mean <>
Arithmetic Mean0.3783784
Standard Error0.114876
T-STAT3.2938
p-value0.002224
Observations37

\begin{tabular}{lllllllll}
\hline

Population Mean Test - Ungrouped Data \tabularnewline

Statistic
Value \tabularnewline H0: mean = \tabularnewline H1: mean <> \tabularnewline Arithmetic Mean0.3783784 \tabularnewline Standard Error0.114876 \tabularnewline T-STAT3.2938 \tabularnewline p-value0.002224 \tabularnewline Observations37 \tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=89251&T=0

[TABLE]

[ROW][C]Population Mean Test - Ungrouped Data[/C][/ROW]

[ROW][C]Statistic[/C]
Value[/C][/ROW] [ROW][C]H0: mean =[/C][/C][/ROW] [ROW][C]H1: mean <>[/C][/C][/ROW] [ROW][C]Arithmetic Mean[/C]0.3783784[/C][/ROW] [ROW][C]Standard Error[/C]0.114876[/C][/ROW] [ROW][C]T-STAT[/C]3.2938[/C][/ROW] [ROW][C]p-value[/C]0.002224[/C][/ROW] [ROW][C]Observations[/C]37[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=89251&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=89251&T=0

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

Population Mean Test - Ungrouped Data
StatisticValue
H0: mean =
H1: mean <>
Arithmetic Mean0.3783784
Standard Error0.114876
T-STAT3.2938
p-value0.002224
Observations37


Figures (Output of Computation)

Input Parameters & R Code

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