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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_twosampletests_mean.wasp

Title produced by software

Paired and Unpaired Two Samples Tests about the Mean

Date of computation

Wed, 14 Jan 2015 11:12:35 +0000

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/2015/Jan/14/t1421234313gibmw7y4k8q70eq.htm/, Retrieved Wed, 15 May 2024 16:26:01 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=272282, Retrieved Wed, 15 May 2024 16:26:01 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

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

-     [Survey Scores] [E-Learn 2008 table 1] [2008-09-07 11:33:54] [b98453cac15ba1066b407e146608df68]
F RM D  [Survey Scores] [ATTLES] [2010-04-05 12:47:13] [b98453cac15ba1066b407e146608df68]
- RMP       [Paired and Unpaired Two Samples Tests about the Mean] [] [2015-01-14 11:12:35] [80d519c92fcb7b7b3d91f00690b8e112] [Current]

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Dataseries X:

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Histogram

Boxplots

4	2	3	4	3	4	3	5	2	4	3	3	4	2	3	4	2	4	2	3
4	3	4	2	4	4	4	4	1	3	3	3	4	3	2	3	4	3	NA	3
2	1	4	3	3	4	2	3	3	4	4	4	4	2	4	3	2	3	2	3
5	3	5	4	5	2	4	2	1	3	3	4	5	4	5	5	4	1	3	1
2	1	4	4	4	5	2	4	2	4	5	2	2	2	4	4	4	5	5	2
4	3	4	4	3	4	3	3	3	4	4	4	3	3	4	4	4	3	4	4
4	5	4	3	4	4	5	5	3	4	4	4	2	4	5	4	4	4	4	4
4	2	5	1	2	4	2	2	1	4	4	5	1	3	2	3	5	2	2	4
4	4	4	4	5	5	3	5	2	4	4	5	3	4	4	3	4	4	4	3
5	4	5	2	4	5	4	5	2	4	4	2	3	4	5	4	4	5	5	1
4	2	4	4	4	4	3	4	3	4	4	4	2	4	4	4	4	4	4	3
5	2	5	4	4	5	4	4	3	4	4	3	3	3	4	4	3	4	4	3
5	4	5	3	4	5	3	4	5	5	3	4	2	4	4	4	3	4	4	5
5	1	5	4	5	5	3	4	3	5	5	4	4	5	5	4	4	4	4	3
4	3	4	5	3	4	3	2	2	3	4	3	3	4	NA	3	3	2	4	2
5	2	5	3	4	4	4	4	2	4	4	3	4	3	4	4	5	3	4	3
4	4	5	2	3	4	1	4	1	4	4	4	1	3	4	5	4	4	4	3
4	2	1	1	3	3	5	4	1	2	5	4	4	4	3	2	4	4	4	3
4	4	4	2	4	4	4	4	2	4	4	4	4	4	2	2	2	3	4	4
5	4	5	1	4	5	4	5	1	5	3	4	2	4	5	4	4	5	5	4
4	4	3	3	4	4	5	4	3	4	2	3	3	3	3	3	3	3	4	3
4	3	4	3	4	3	4	4	1	4	4	3	4	4	4	3	4	3	4	3
4	2	3	2	3	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
4	1	5	2	4	5	1	5	4	4	4	5	4	4	3	3	2	4	2	2
4	4	4	4	5	5	4	4	3	4	4	4	4	4	4	4	4	4	4	4
5	4	5	4	4	5	4	5	2	4	4	3	4	4	5	2	2	5	4	4
5	2	2	2	5	4	4	5	3	4	2	5	4	5	4	2	5	4	2	4
5	1	5	3	4	4	4	5	3	5	5	4	5	3	5	3	3	4	4	3
4	2	4	2	4	4	3	4	1	5	5	3	4	3	3	2	4	4	4	3
4	3	4	2	2	4	3	4	3	4	4	3	4	3	4	3	4	4	4	3
5	1	5	4	4	5	2	4	2	4	5	3	4	4	4	3	1	4	4	2
4	1	4	4	3	5	4	5	3	4	3	4	3	3	4	3	5	4	4	3
5	3	4	3	3	4	4	4	3	3	3	3	4	3	4	3	4	3	3	2
5	2	3	3	4	5	3	4	1	4	5	3	3	2	4	3	3	4	4	2
4	3	4	2	3	5	3	4	1	3	4	3	4	1	3	2	3	3	3	1
4	1	5	3	5	4	3	5	1	4	4	4	4	4	3	3	4	3	4	4
4	5	5	3	4	5	3	4	3	3	3	3	4	4	4	3	3	4	2	2
3	2	4	2	3	3	3	4	3	3	3	3	2	4	3	3	3	4	3	3
4	2	3	1	4	2	2	1	2	4	3	4	4	2	2	3	4	4	1	4
4	2	3	2	4	3	4	3	1	3	4	2	4	4	3	3	3	4	3	2
5	3	4	4	4	5	3	4	3	4	5	4	5	3	4	3	3	4	4	2
4	2	4	1	4	5	3	3	1	4	4	1	4	2	3	2	3	4	1	1
2	1	3	1	3	4	3	4	1	4	4	3	4	2	3	3	3	3	3	2
4	2	3	3	2	2	2	3	2	5	5	4	3	3	3	4	4	3	3	5
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	3	4	4	2
4	2	2	2	1	4	4	4	4	5	4	4	4	3	5	3	4	4	5	4
4	1	5	4	2	4	4	5	2	4	4	4	2	4	5	4	2	4	4	2
5	1	2	3	4	5	4	2	2	4	3	5	4	4	4	3	4	2	4	2
4	2	5	4	4	5	4	5	4	4	4	4	4	4	5	4	5	5	4	4
5	1	3	3	4	4	2	4	3	5	4	4	3	1	4	3	4	3	3	3
2	5	2	2	5	5	5	4	1	5	5	5	4	5	2	4	4	5	4	4
5	3	5	5	4	3	2	5	2	4	4	4	4	3	4	3	4	3	2	4
4	1	5	2	4	4	4	3	3	4	3	NA	2	2	4	4	2	5	3	2
1	1	5	4	4	5	3	5	1	3	4	1	5	1	4	3	2	3	3	4
5	3	5	2	1	4	3	4	2	5	3	3	4	4	2	3	3	4	2	3
4	3	4	3	2	4	3	4	1	4	4	3	4	3	3	4	3	5	4	3
4	3	5	4	4	5	4	5	3	3	4	3	4	4	4	3	2	5	4	3
4	4	5	4	5	5	4	5	3	4	3	4	4	5	5	4	3	5	4	4
3	2	5	4	4	4	2	5	2	4	4	3	4	2	5	4	3	3	4	2
5	3	5	5	5	5	5	5	3	4	3	1	5	3	5	3	5	5	5	1
4	4	4	2	4	4	4	4	2	4	4	4	4	4	2	2	2	3	4	4
4	4	5	3	2	5	4	5	2	5	5	2	4	2	5	2	4	3	4	4
4	2	5	4	NA	4	2	5	1	4	4	2	4	1	2	2	4	4	3	2
5	3	4	1	5	4	4	3	2	5	4	3	2	5	5	5	4	4	1	NA
4	1	5	4	4	4	3	4	2	5	4	4	3	4	5	4	4	5	4	1
4	1	4	2	4	4	4	5	4	5	4	4	5	2	2	4	3	5	4	4
4	3	5	4	4	5	4	4	4	3	3	4	5	3	4	4	5	4	3	4
5	3	3	3	4	4	4	4	3	2	3	3	4	3	4	3	3	4	3	4
5	1	4	4	4	5	4	4	1	4	3	4	2	4	3	4	4	3	3	2
5	2	4	2	3	4	2	4	2	4	3	5	4	4	4	3	4	3	3	3
5	1	4	3	4	5	5	4	1	4	5	3	4	2	4	4	4	4	4	2
4	2	4	4	5	4	3	5	3	3	4	3	4	2	4	4	3	4	4	3
5	4	5	3	5	5	4	4	3	4	3	4	3	3	3	2	4	4	4	3
4	2	3	4	4	5	4	4	3	4	4	4	3	4	4	4	5	5	5	4
4	3	4	5	4	4	3	4	1	4	4	4	4	4	4	3	4	4	4	1
5	1	4	4	4	3	3	4	3	5	4	3	3	4	3	3	4	3	3	3
5	3	4	2	1	4	1	5	3	5	3	5	2	4	2	4	4	4	4	4
4	4	5	4	4	4	3	2	3	4	4	4	NA	3	3	2	4	4	4	4
5	4	3	2	4	4	3	4	3	3	4	2	4	4	4	4	4	3	3	3
5	2	4	3	4	4	4	5	2	4	5	4	3	3	5	4	3	5	4	2
4	1	5	2	3	4	2	4	1	2	4	3	4	4	4	2	3	3	4	2
2	2	2	3	4	5	4	4	3	4	3	4	3	3	4	3	3	3	4	2
5	5	5	4	2	5	4	5	5	5	5	4	4	3	5	5	2	2	3	5
4	3	4	1	5	5	5	5	4	2	4	4	2	5	5	3	4	5	3	4
5	5	4	3	4	4	4	4	5	5	3	4	4	4	5	4	3	4	4	4
4	4	5	2	4	4	3	4	2	5	5	4	4	4	4	4	4	4	3	3
4	2	3	2	4	5	3	5	3	5	3	2	5	2	2	3	5	2	4	2
4	3	5	4	5	4	5	5	1	4	3	5	4	2	4	4	4	5	5	2
4	2	5	5	5	5	2	4	2	5	5	3	4	4	5	2	3	5	5	2
5	2	5	5	5	5	3	4	4	5	4	3	4	4	5	5	4	5	5	3
2	2	4	2	5	4	2	4	2	5	5	3	5	3	4	3	4	5	4	5
5	1	5	4	4	5	3	4	2	4	4	3	3	3	4	3	3	3	3	2
5	5	4	1	1	3	5	5	1	4	1	5	5	5	1	5	5	3	4	5
5	4	5	5	5	5	3	5	2	5	2	4	3	4	4	4	5	5	5	4
4	5	4	2	4	4	4	5	2	1	3	4	4	4	1	2	3	4	2	4
4	4	5	2	4	1	4	4	2	4	3	4	2	4	5	4	3	3	4	2
4	5	4	1	5	5	4	5	2	2	2	1	5	4	1	2	4	1	2	1
4	4	5	3	4	4	4	5	4	3	4	2	3	1	4	2	3	2	3	4
4	2	4	3	5	4	4	4	3	3	4	4	2	4	4	3	4	4	4	3
4	4	5	4	4	5	5	4	4	5	5	4	3	4	4	4	5	5	3	4
4	2	4	2	4	5	4	4	1	5	1	2	4	4	1	5	5	1	2	4
4	4	2	2	2	4	4	4	4	4	3	2	4	2	4	3	3	4	4	2
5	2	5	4	5	5	4	5	2	3	4	5	5	4	1	4	2	2	5	1
3	3	5	2	4	5	4	3	3	2	3	4	3	3	3	2	4	4	4	5
5	3	4	4	4	5	4	4	2	4	2	4	4	4	4	3	4	4	3	3
2	3	4	3	4	5	4	4	3	4	3	4	4	2	4	3	3	4	3	4
4	3	4	2	5	5	5	5	3	4	4	4	4	4	4	5	5	2	4	4
5	2	5	4	3	4	3	5	2	4	4	2	4	3	5	3	3	4	4	2
4	3	4	3	4	4	3	4	2	4	3	4	4	3	4	3	4	4	3	4
5	3	5	5	4	5	5	5	4	4	3	2	3	2	4	4	5	5	4	3
4	2	5	3	5	5	5	4	2	4	4	3	5	3	5	3	4	5	4	3
4	3	5	5	3	4	4	4	2	5	3	3	2	4	2	3	5	2	4	5
4	2	5	3	4	5	3	4	2	5	4	4	4	5	4	4	3	4	2	3
4	1	5	4	5	4	4	5	1	5	5	3	4	3	5	3	4	5	5	3
5	4	5	4	5	5	5	5	4	4	4	3	4	2	5	2	2	4	4	2
4	2	5	4	5	5	4	4	2	2	4	4	4	2	4	2	4	4	4	5
1	2	4	1	4	4	4	2	1	4	4	3	5	2	2	1	4	4	1	1
4	2	4	3	2	4	3	4	3	4	3	4	2	4	4	3	4	4	3	4
3	4	5	4	3	4	2	5	3	2	4	4	2	3	2	NA	NA	NA	NA	NA
4	4	5	4	5	5	4	5	4	2	5	4	4	2	4	3	3	4	4	4
4	4	2	1	5	4	4	4	1	4	4	4	2	4	4	2	4	5	2	1
4	1	4	4	3	2	4	2	4	5	4	4	2	4	2	2	4	3	3	3
4	4	3	3	3	3	3	3	3	4	4	3	3	3	3	3	3	3	3	3
4	3	5	3	4	5	2	4	4	4	5	3	3	5	5	3	1	5	4	4
4	5	4	3	4	3	4	4	2	4	3	4	4	2	5	4	3	4	3	2
4	3	5	3	4	4	4	4	1	3	3	1	4	2	3	3	4	3	3	4
4	2	3	2	5	3	4	4	2	4	4	3	5	5	4	3	3	2	3	2
5	2	5	2	5	4	4	5	3	4	4	5	2	4	4	4	4	4	4	2
5	2	4	3	5	4	4	4	3	4	5	5	4	3	4	4	4	3	3	3
5	1	4	4	4	5	5	4	3	4	4	3	3	3	4	3	3	3	3	4
3	2	5	3	4	5	4	4	3	5	4	3	2	3	4	4	4	4	4	3
4	4	3	2	3	4	2	2	3	3	2	4	3	3	4	2	4	2	2	1
5	4	5	4	5	4	5	5	4	2	4	4	3	3	2	3	5	5	2	3
4	2	5	3	4	4	2	4	2	4	4	4	2	3	2	4	4	4	4	4
5	4	5	3	5	4	4	2	3	4	4	4	3	5	3	4	4	4	4	4
5	1	3	4	4	4	4	4	3	4	4	4	3	4	3	3	4	4	3	3
4	2	2	3	4	4	4	4	2	3	3	4	3	2	5	3	3	4	4	3
5	4	4	4	3	4	5	4	1	3	4	4	4	5	3	4	3	3	4	2
5	4	5	4	4	4	4	5	3	4	3	4	2	4	4	3	5	4	4	3
5	4	5	4	4	5	3	4	2	4	3	4	3	4	2	4	3	3	2	4
4	2	4	3	3	4	4	5	2	4	4	4	4	3	4	4	4	4	4	4
5	2	4	5	5	5	4	4	1	4	4	4	5	5	5	3	4	3	3	4
5	1	4	3	4	4	3	4	2	4	4	4	3	3	4	4	3	3	4	3
4	3	2	2	2	2	4	4	2	3	3	3	3	3	3	2	3	4	4	3
4	3	4	1	2	3	2	4	2	5	2	4	2	4	4	4	4	3	4	4
5	2	3	3	4	4	4	4	3	4	4	5	2	4	4	4	4	3	4	4
3	3	3	2	4	5	4	2	3	2	4	4	4	4	4	3	3	4	3	4
4	1	3	4	4	3	4	4	3	4	3	4	3	4	3	2	3	3	4	2
5	1	4	3	4	3	3	4	1	5	4	4	3	3	3	3	3	3	3	3
5	2	5	2	5	4	4	4	2	4	2	4	4	5	2	4	4	4	2	4
5	1	5	4	5	5	3	5	2	5	5	3	5	2	5	3	5	5	5	1
4	3	5	4	5	5	3	4	2	4	3	4	3	NA	4	3	3	3	4	4
5	2	4	4	4	5	5	5	3	5	3	4	2	4	5	4	4	4	5	4
5	2	5	5	5	5	5	5	5	5	5	4	5	4	5	5	5	5	5	5
5	2	4	4	5	4	4	4	2	4	5	4	3	3	4	2	3	3	4	2
4	1	5	3	4	4	4	5	4	4	4	3	3	4	4	4	3	4	4	3
4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4	4
4	4	5	1	2	5	2	5	5	4	2	5	5	5	4	5	4	1	1	5
5	1	4	3	2	4	3	2	1	4	4	4	4	4	2	3	4	4	2	3
5	4	4	1	4	5	4	4	1	5	5	4	5	4	4	4	4	4	4	4
4	2	4	3	5	4	5	4	2	4	4	4	4	4	4	3	5	4	4	3
2	3	4	3	4	3	3	4	2	5	5	1	5	1	3	1	5	3	3	1
5	3	3	2	4	2	5	4	1	2	3	4	4	2	1	4	3	1	2	2
2	4	3	4	2	4	4	5	4	4	4	3	2	4	3	4	NA	3	3	4
5	3	4	3	3	4	5	4	2	4	4	4	3	4	3	3	3	3	3	NA
5	4	4	2	4	5	3	5	2	5	3	4	5	5	2	3	5	5	2	5
5	2	4	3	4	4	3	4	2	4	4	3	5	3	4	3	4	4	4	3
4	2	4	4	4	4	2	3	2	4	4	4	4	4	4	4	4	4	4	4
2	5	5	4	5	5	5	2	2	2	4	3	4	4	4	4	4	4	4	3
5	2	4	4	5	5	4	5	3	5	3	3	4	4	4	3	4	3	4	3
4	1	3	3	3	4	4	3	2	4	4	3	4	3	3	3	3	4	3	3
4	2	4	3	4	4	3	2	3	3	4	3	4	3	4	3	3	3	4	3
5	2	4	3	5	4	4	4	2	3	2	4	5	4	4	3	4	2	4	1
4	2	4	4	4	2	2	4	2	4	4	4	4	4	4	4	5	4	4	4
5	3	4	4	4	4	4	4	4	4	4	2	3	5	4	3	4	4	3	4
4	2	4	2	4	4	4	3	1	4	3	2	3	2	3	2	3	4	3	2
3	1	3	2	3	3	4	4	2	5	4	5	4	4	2	3	2	4	3	2
4	3	4	4	5	4	4	3	2	4	4	4	3	3	4	3	4	4	4	5
4	4	3	4	5	5	5	5	4	3	3	2	4	4	2	2	4	3	3	4
3	4	4	3	4	3	5	4	3	4	2	4	2	3	3	3	3	4	3	4
5	4	5	5	5	5	4	5	4	5	5	5	5	5	5	5	5	2	4	5
2	4	5	2	4	5	5	5	1	4	2	5	5	4	4	4	2	3	3	1
4	4	3	1	4	4	2	4	3	2	4	2	4	4	3	2	3	4	5	3
5	3	5	4	4	5	4	5	1	5	5	4	5	4	5	4	5	5	5	5
5	4	5	3	5	5	5	4	3	5	4	5	5	4	3	4	2	3	3	3
5	2	5	3	4	4	4	4	4	5	5	4	4	3	4	4	4	4	3	3
4	3	4	3	4	5	4	4	2	4	3	2	4	3	3	3	4	3	4	3
5	1	1	4	5	4	3	4	2	4	4	3	4	3	4	4	3	4	2	2
5	3	4	3	4	3	3	4	2	4	4	3	4	3	4	4	4	3	3	2
4	2	4	4	5	5	4	4	4	4	4	3	3	4	3	3	3	4	3	4
4	3	5	4	4	4	3	4	3	4	4	3	4	3	4	3	4	4	4	4
2	2	5	4	4	5	3	5	2	4	3	3	4	3	5	4	4	4	4	3
4	3	5	3	3	4	3	5	2	4	5	3	5	3	5	5	3	5	5	2
2	4	4	4	3	5	5	4	1	3	3	2	4	3	2	4	2	2	2	3
5	2	3	1	3	4	3	4	1	4	4	3	3	3	3	2	4	4	4	1
5	2	4	3	4	4	4	4	3	4	4	3	4	2	5	3	4	4	5	4
4	3	5	5	5	5	4	4	4	4	2	4	2	3	4	3	3	3	4	2
4	2	5	3	4	4	3	2	2	4	4	3	4	4	4	3	3	5	4	2
4	1	5	5	5	5	4	5	1	4	4	2	4	1	4	3	4	3	4	1
4	2	5	4	5	4	4	4	2	4	4	2	4	3	4	2	3	4	4	4
4	5	5	2	4	5	5	4	1	5	2	2	4	5	4	5	1	4	4	1
4	4	4	2	1	4	3	2	1	4	4	4	3	2	4	4	3	3	1	1
4	3	4	2	4	4	3	4	3	4	4	4	4	3	2	3	3	2	2	2
4	1	5	4	5	5	1	4	3	5	4	3	4	2	5	3	4	4	5	5
4	1	4	1	3	4	1	3	1	4	3	4	4	4	3	2	2	3	3	4
4	3	3	3	3	3	3	NA	3	3	3	3	3	3	3	3	3	3	3	3
5	2	4	3	5	4	3	4	3	5	4	5	5	4	3	4	3	3	4	4
4	1	4	2	5	4	2	4	1	2	3	3	4	3	2	2	3	4	3	3
4	1	4	3	5	5	3	5	1	4	4	4	3	4	4	5	4	5	4	3
5	4	5	3	4	4	4	3	2	4	5	4	4	4	5	5	4	4	3	3
5	4	5	4	2	5	3	4	2	5	3	4	4	3	5	4	4	4	4	3
4	5	5	3	5	5	5	4	3	5	3	4	3	4	4	4	4	4	3	4
5	1	3	3	4	4	3	4	2	4	3	4	3	3	4	3	3	3	4	3
4	4	4	2	3	4	4	3	4	3	4	2	4	4	3	3	3	4	4	3
5	5	5	4	4	3	5	4	3	4	2	4	2	5	4	2	4	4	4	5
1	1	5	1	5	5	1	5	1	5	5	5	4	3	5	5	3	3	3	3
4	3	3	3	5	4	4	5	2	3	5	5	4	5	4	5	4	3	4	2
3	2	5	2	5	5	5	5	3	5	5	4	2	4	5	5	4	5	5	3
4	4	4	3	4	4	4	4	4	4	4	4	4	4	4	3	4	4	3	4
5	3	4	2	2	5	4	5	2	4	4	4	5	5	5	4	3	3	4	3
4	4	5	4	5	5	2	3	1	4	3	4	3	2	3	3	2	4	4	4
5	1	4	3	4	5	4	4	3	4	5	3	4	4	4	4	5	4	4	3
5	2	3	3	4	4	3	5	3	5	5	3	4	3	4	2	3	4	4	5
4	4	4	2	4	4	3	4	3	4	4	4	2	4	4	3	4	4	4	3
4	2	3	4	4	4	2	1	3	3	2	2	4	3	4	3	3	3	2	2
3	3	4	2	4	2	4	4	2	4	3	4	3	4	4	3	4	4	3	4
4	2	3	4	3	3	4	5	3	4	4	4	2	4	4	4	4	3	4	2
2	4	5	4	4	4	5	5	4	5	4	4	2	4	4	2	2	3	4	3
5	2	5	4	5	5	5	4	2	4	4	4	4	3	4	4	5	3	4	3
4	3	4	2	5	5	4	5	1	2	4	3	4	3	5	3	2	3	4	1
5	3	4	1	2	3	4	4	3	4	4	4	4	4	4	4	4	4	4	3
4	4	3	4	4	4	4	4	4	4	3	4	4	4	5	4	4	3	4	4
2	4	3	3	4	4	4	3	3	4	2	4	3	4	2	3	4	3	3	3
4	5	5	3	2	3	3	5	4	5	3	3	2	4	3	3	5	3	3	4
2	2	5	5	5	5	5	5	3	4	5	4	4	4	5	4	5	5	5	5
3	1	4	2	3	5	4	4	3	5	4	5	4	4	4	3	4	3	4	3
3	4	4	2	3	2	3	2	3	4	2	4	2	3	2	3	2	2	2	2
3	3	2	4	4	2	3	2	4	2	4	4	2	3	2	3	4	NA	2	4
5	1	4	4	4	3	1	4	2	5	3	4	4	3	4	3	4	3	4	3
5	2	4	4	4	4	4	4	4	5	4	4	4	5	4	3	4	4	3	4
3	2	4	3	5	4	NA	4	3	4	4	4	5	3	4	2	3	4	4	4
5	4	2	2	4	5	4	4	2	5	4	5	4	4	4	4	4	3	4	2
5	2	4	3	5	4	3	4	2	5	3	4	4	4	5	3	4	3	4	4
4	3	3	3	4	4	3	3	4	5	5	3	3	3	3	3	3	3	3	3
4	4	4	4	4	4	4	4	4	5	5	4	3	2	4	4	4	4	3	3
4	5	NA	3	4	4	4	5	1	4	4	2	2	4	2	2	4	2	2	4
4	4	5	3	5	5	4	3	2	3	4	4	4	3	4	3	3	5	3	5
5	3	4	3	4	5	5	5	2	4	3	2	4	2	4	2	2	3	4	2
4	4	5	4	4	5	4	4	4	4	4	4	4	4	4	3	3	4	3	4
5	2	4	3	1	3	4	1	4	5	3	4	1	4	4	5	2	3	NA	2
5	1	4	4	4	5	5	5	3	4	4	4	5	4	4	4	3	4	4	4
4	3	4	4	4	5	4	4	2	4	4	2	4	4	4	3	5	3	2	3
3	3	4	4	3	4	3	4	4	3	4	4	3	4	2	3	3	3	4	3
4	4	4	3	4	4	2	3	2	4	4	2	5	2	4	3	3	3	4	2
4	4	5	3	4	5	4	4	1	4	3	3	4	2	2	3	5	2	3	3
3	1	4	1	3	2	2	4	1	3	4	4	4	2	5	3	3	3	4	1
4	2	5	3	4	3	5	5	3	5	3	4	3	4	5	3	4	2	4	5
5	3	4	5	5	5	4	4	3	4	4	5	3	4	4	5	5	2	3	4
4	1	5	5	5	5	5	5	4	5	5	3	5	1	5	5	5	5	5	3
2	4	3	3	4	4	4	5	2	4	3	4	3	4	4	4	4	4	3	3
4	2	3	4	5	5	3	4	2	5	5	4	3	4	3	3	4	3	3	3
5	3	3	2	4	3	3	4	2	5	3	4	4	3	3	3	3	3	3	3
5	2	2	3	NA	NA	NA	3	3	3	3	3	NA	3	3	3	3	3	4	4
5	4	5	3	3	4	4	5	3	5	4	3	5	4	5	3	4	3	3	1
4	3	4	3	3	3	3	4	3	3	4	3	3	4	3	3	3	3	4	3
5	3	5	4	5	5	1	5	4	5	5	3	4	3	5	4	3	2	4	3
5	2	3	1	2	3	2	2	5	5	3	2	4	3	3	3	3	4	3	3
5	1	3	2	4	3	3	4	3	2	3	3	4	3	3	3	3	3	4	3
5	3	4	4	4	5	4	4	4	3	4	4	3	4	4	4	4	3	4	4
5	5	5	5	5	5	4	5	5	5	4	5	5	5	5	5	4	3	5	5
4	2	5	4	5	3	3	4	5	4	4	4	4	4	3	5	4	3	5	3
5	4	2	3	3	3	2	2	2	3	3	4	4	3	3	4	2	2	4	2
4	1	5	3	5	5	4	4	3	5	5	4	4	3	4	3	4	5	4	3
5	2	4	4	3	4	3	4	2	4	5	4	3	3	4	4	3	3	4	3
4	1	4	3	4	4	4	4	3	4	4	3	4	4	4	3	4	5	4	2
4	2	5	3	4	4	3	3	2	4	4	4	4	3	4	3	3	4	2	2
4	3	2	2	2	3	2	2	1	3	2	1	1	3	2	4	2	4	2	1
4	5	5	5	5	5	5	5	3	5	2	5	5	5	4	4	5	4	4	4
3	3	3	2	2	3	2	2	2	2	3	4	4	2	3	2	2	2	3	3
3	2	2	2	4	4	4	3	2	4	3	1	2	3	2	4	4	4	2	3
4	3	4	4	4	4	3	3	1	4	3	2	3	4	2	3	4	4	4	2
4	3	4	4	5	5	4	4	4	4	3	4	3	3	3	4	4	4	4	4
5	3	1	2	4	3	4	3	3	4	4	4	3	3	4	4	4	4	3	4
3	2	2	4	4	4	3	4	1	5	4	4	4	3	3	3	4	4	2	4
3	3	4	4	3	4	4	4	2	4	4	2	3	4	2	4	2	3	4	3
5	3	4	4	4	4	3	4	2	4	3	4	4	4	4	4	4	4	4	2
4	4	5	3	4	5	5	4	2	4	3	4	4	4	4	4	5	4	3	3
5	NA	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	5	1
2	4	4	3	5	4	4	4	1	4	3	5	4	4	4	3	5	4	5	3
4	3	4	4	5	4	3	5	2	5	5	4	5	4	5	4	4	4	4	4
4	4	5	5	5	5	5	4	4	5	5	4	5	5	5	5	5	5	5	5
3	2	5	4	4	5	1	5	1	3	5	4	5	3	4	3	5	3	5	2
5	3	4	4	4	4	4	5	3	4	3	4	3	4	4	4	4	4	4	3
2	4	4	3	5	4	5	4	1	3	3	3	5	5	4	3	4	4	3	2
5	3	4	4	5	4	4	4	2	3	3	3	3	3	4	3	3	3	3	3
5	3	4	3	4	4	3	4	1	5	4	3	4	1	3	3	4	4	4	2
4	1	3	4	4	4	3	5	2	4	4	4	4	4	4	3	3	4	4	4
4	2	2	3	4	3	2	4	2	4	3	3	4	3	4	4	4	4	3	5
5	4	5	4	4	5	5	5	3	4	3	3	3	4	4	3	4	5	4	3
3	5	4	4	2	2	5	4	3	5	1	1	1	3	4	4	2	1	1	3
3	2	5	4	5	4	5	4	1	3	4	1	4	2	4	3	4	5	4	1
5	5	4	4	5	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA
5	2	5	4	5	5	2	5	1	3	4	4	4	2	5	3	2	4	4	4
5	1	5	3	4	4	4	4	1	3	5	4	5	4	4	2	3	5	2	1
5	1	5	4	4	5	5	5	4	5	NA	4	4	4	5	5	5	4	4	4
3	2	2	4	5	3	3	5	2	2	2	4	2	3	4	1	4	4	2	2
4	3	NA	5	4	4	NA	5	4	5	3	5	5	4	3	5	4	4	4	5
5	3	4	4	3	4	4	5	3	3	4	3	4	3	4	4	3	4	4	3
4	1	5	3	5	5	4	4	3	4	5	3	4	4	5	4	4	5	4	3
4	2	4	3	4	3	4	4	3	3	3	2	4	4	1	3	3	2	4	4
2	4	2	4	1	1	1	2	5	4	2	3	1	1	4	2	2	2	NA	1
4	3	4	4	4	4	3	4	3	3	5	4	4	3	3	4	3	4	3	4
5	3	3	4	2	2	5	4	4	3	2	2	3	4	5	2	3	3	1	3
4	2	4	4	4	4	4	3	4	4	4	5	2	5	5	4	2	4	4	4
5	3	4	2	5	5	4	5	2	5	5	3	5	5	5	3	4	4	4	2
5	1	5	4	4	5	5	5	4	5	5	4	4	4	5	4	5	5	4	4
3	3	2	4	3	3	2	4	3	2	5	3	5	2	3	NA	2	3	2	1
4	3	2	3	3	2	3	3	4	3	4	3	4	3	3	3	4	3	3	4
3	3	4	4	4	4	3	4	3	4	4	4	4	4	3	4	4	4	2	4
5	2	4	4	4	4	5	4	2	4	4	4	4	2	4	4	4	4	4	3
4	4	3	5	4	4	5	5	4	5	3	2	1	4	4	5	5	2	4	2
5	4	3	4	4	5	4	4	3	5	4	2	3	4	2	2	3	3	3	3
4	3	2	2	3	2	4	3	4	4	4	3	2	2	2	4	5	2	3	4
4	3	4	3	4	5	3	5	1	4	5	1	4	3	3	3	2	4	4	3
5	4	5	4	5	5	5	5	2	4	3	4	4	4	5	4	5	5	5	5
4	4	5	4	1	3	3	5	2	4	5	5	5	4	2	3	3	4	4	4
5	4	5	3	4	5	5	4	2	5	4	4	4	4	5	4	4	3	4	3
3	1	4	4	5	4	2	3	1	4	4	4	3	4	5	3	3	4	3	2
4	2	4	4	5	5	4	5	2	3	4	4	4	3	4	3	3	4	4	3
3	3	4	4	4	4	3	4	2	3	4	2	4	3	4	2	4	3	4	3
5	3	4	2	4	5	5	4	3	5	5	3	4	3	4	3	4	4	3	2
5	4	4	4	2	5	5	4	4	4	4	4	2	4	4	4	1	3	5	4
3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3	3
5	4	5	3	5	4	5	4	3	5	5	3	5	3	4	3	3	4	4	4

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	12 seconds
R Server	'Gertrude Mary Cox' @ cox.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 & 12 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272282&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272282&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272282&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	12 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Two Sample t-test (unpaired)
Mean of Sample 1	4.14071856287425
Mean of Sample 2	2.72972972972973
t-stat	17.6071971046625
df	665
p-value	3.01977512394968e-57
H0 value	0.01
Alternative	two.sided
CI Level	0.99
CI	[1.2054425413082,1.61653512498085]
F-test to compare two variances
F-stat	0.566531350082576
df	333
p-value	2.69882205276982e-07
H0 value	1
Alternative	two.sided
CI Level	0.99
CI	[0.426793967299984,0.751981092706105]

\begin{tabular}{lllllllll}
\hline
Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 4.14071856287425 \tabularnewline
Mean of Sample 2 & 2.72972972972973 \tabularnewline
t-stat & 17.6071971046625 \tabularnewline
df & 665 \tabularnewline
p-value & 3.01977512394968e-57 \tabularnewline
H0 value & 0.01 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.99 \tabularnewline
CI & [1.2054425413082,1.61653512498085] \tabularnewline
F-test to compare two variances \tabularnewline
F-stat & 0.566531350082576 \tabularnewline
df & 333 \tabularnewline
p-value & 2.69882205276982e-07 \tabularnewline
H0 value & 1 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.99 \tabularnewline
CI & [0.426793967299984,0.751981092706105] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272282&T=1

[TABLE]
[ROW][C]Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]4.14071856287425[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]2.72972972972973[/C][/ROW]
[ROW][C]t-stat[/C][C]17.6071971046625[/C][/ROW]
[ROW][C]df[/C][C]665[/C][/ROW]
[ROW][C]p-value[/C][C]3.01977512394968e-57[/C][/ROW]
[ROW][C]H0 value[/C][C]0.01[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.99[/C][/ROW]
[ROW][C]CI[/C][C][1.2054425413082,1.61653512498085][/C][/ROW]
[ROW][C]F-test to compare two variances[/C][/ROW]
[ROW][C]F-stat[/C][C]0.566531350082576[/C][/ROW]
[ROW][C]df[/C][C]333[/C][/ROW]
[ROW][C]p-value[/C][C]2.69882205276982e-07[/C][/ROW]
[ROW][C]H0 value[/C][C]1[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.99[/C][/ROW]
[ROW][C]CI[/C][C][0.426793967299984,0.751981092706105][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272282&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272282&T=1

As an alternative you can also use a QR Code:

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

Two Sample t-test (unpaired)
Mean of Sample 1	4.14071856287425
Mean of Sample 2	2.72972972972973
t-stat	17.6071971046625
df	665
p-value	3.01977512394968e-57
H0 value	0.01
Alternative	two.sided
CI Level	0.99
CI	[1.2054425413082,1.61653512498085]
F-test to compare two variances
F-stat	0.566531350082576
df	333
p-value	2.69882205276982e-07
H0 value	1
Alternative	two.sided
CI Level	0.99
CI	[0.426793967299984,0.751981092706105]

Welch Two Sample t-test (unpaired)
Mean of Sample 1	4.14071856287425
Mean of Sample 2	2.72972972972973
t-stat	17.5998832612473
df	616.784253046662
p-value	1.74098748855661e-56
H0 value	0.01
Alternative	two.sided
CI Level	0.99
CI	[1.20531085839285,1.61666680789619]

\begin{tabular}{lllllllll}
\hline
Welch Two Sample t-test (unpaired) \tabularnewline
Mean of Sample 1 & 4.14071856287425 \tabularnewline
Mean of Sample 2 & 2.72972972972973 \tabularnewline
t-stat & 17.5998832612473 \tabularnewline
df & 616.784253046662 \tabularnewline
p-value & 1.74098748855661e-56 \tabularnewline
H0 value & 0.01 \tabularnewline
Alternative & two.sided \tabularnewline
CI Level & 0.99 \tabularnewline
CI & [1.20531085839285,1.61666680789619] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272282&T=2

[TABLE]
[ROW][C]Welch Two Sample t-test (unpaired)[/C][/ROW]
[ROW][C]Mean of Sample 1[/C][C]4.14071856287425[/C][/ROW]
[ROW][C]Mean of Sample 2[/C][C]2.72972972972973[/C][/ROW]
[ROW][C]t-stat[/C][C]17.5998832612473[/C][/ROW]
[ROW][C]df[/C][C]616.784253046662[/C][/ROW]
[ROW][C]p-value[/C][C]1.74098748855661e-56[/C][/ROW]
[ROW][C]H0 value[/C][C]0.01[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]CI Level[/C][C]0.99[/C][/ROW]
[ROW][C]CI[/C][C][1.20531085839285,1.61666680789619][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272282&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272282&T=2

As an alternative you can also use a QR Code:

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

Welch Two Sample t-test (unpaired)
Mean of Sample 1	4.14071856287425
Mean of Sample 2	2.72972972972973
t-stat	17.5998832612473
df	616.784253046662
p-value	1.74098748855661e-56
H0 value	0.01
Alternative	two.sided
CI Level	0.99
CI	[1.20531085839285,1.61666680789619]

Wicoxon rank sum test with continuity correction (unpaired)
W	81772
p-value	1.6018224165088e-26
H0 value	0.01
Alternative	two.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic	0.553020085954218
p-value	0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic	0.294761827695959
p-value	5.21138687759048e-13

\begin{tabular}{lllllllll}
\hline
Wicoxon rank sum test with continuity correction (unpaired) \tabularnewline
W & 81772 \tabularnewline
p-value & 1.6018224165088e-26 \tabularnewline
H0 value & 0.01 \tabularnewline
Alternative & two.sided \tabularnewline
Kolmogorov-Smirnov Test to compare Distributions of two Samples \tabularnewline
KS Statistic & 0.553020085954218 \tabularnewline
p-value & 0 \tabularnewline
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples \tabularnewline
KS Statistic & 0.294761827695959 \tabularnewline
p-value & 5.21138687759048e-13 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=272282&T=3

[TABLE]
[ROW][C]Wicoxon rank sum test with continuity correction (unpaired)[/C][/ROW]
[ROW][C]W[/C][C]81772[/C][/ROW]
[ROW][C]p-value[/C][C]1.6018224165088e-26[/C][/ROW]
[ROW][C]H0 value[/C][C]0.01[/C][/ROW]
[ROW][C]Alternative[/C][C]two.sided[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributions of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.553020085954218[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples[/C][/ROW]
[ROW][C]KS Statistic[/C][C]0.294761827695959[/C][/ROW]
[ROW][C]p-value[/C][C]5.21138687759048e-13[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=272282&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=272282&T=3

As an alternative you can also use a QR Code:

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

Wicoxon rank sum test with continuity correction (unpaired)
W	81772
p-value	1.6018224165088e-26
H0 value	0.01
Alternative	two.sided
Kolmogorov-Smirnov Test to compare Distributions of two Samples
KS Statistic	0.553020085954218
p-value	0
Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples
KS Statistic	0.294761827695959
p-value	5.21138687759048e-13

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Figure 3

PNG link

Postscript link

PDF link

Parameters (Session):

Parameters (R input):

par1 = 1 ; par2 = 2 ; par3 = 0.99 ; par4 = two.sided ; par5 = unpaired ; par6 = 0.01 ;

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

par6 <- '0.0'
par5 <- 'unpaired'
par4 <- 'two.sided'
par3 <- '0.95'
par2 <- '2'
par1 <- '1'
par1 <- as.numeric(par1) #column number of first sample
par2 <- as.numeric(par2) #column number of second sample
par3 <- as.numeric(par3) #confidence (= 1 - alpha)
if (par5 == 'unpaired') paired <- FALSE else paired <- TRUE
par6 <- as.numeric(par6) #H0
z <- t(y)
if (par1 == par2) stop('Please, select two different column numbers')
if (par1 < 1) stop('Please, select a column number greater than zero for the first sample')
if (par2 < 1) stop('Please, select a column number greater than zero for the second sample')
if (par1 > length(z[1,])) stop('The column number for the first sample should be smaller')
if (par2 > length(z[1,])) stop('The column number for the second sample should be smaller')
if (par3 <= 0) stop('The confidence level should be larger than zero')
if (par3 >= 1) stop('The confidence level should be smaller than zero')
(r.t <- t.test(z[,par1],z[,par2],var.equal=TRUE,alternative=par4,paired=paired,mu=par6,conf.level=par3))
(v.t <- var.test(z[,par1],z[,par2],conf.level=par3))
(r.w <- t.test(z[,par1],z[,par2],var.equal=FALSE,alternative=par4,paired=paired,mu=par6,conf.level=par3))
(w.t <- wilcox.test(z[,par1],z[,par2],alternative=par4,paired=paired,mu=par6,conf.level=par3))
(ks.t <- ks.test(z[,par1],z[,par2],alternative=par4))
m1 <- mean(z[,par1],na.rm=T)
m2 <- mean(z[,par2],na.rm=T)
mdiff <- m1 - m2
newsam1 <- z[!is.na(z[,par1]),par1]
newsam2 <- z[,par2]+mdiff
newsam2 <- newsam2[!is.na(newsam2)]
(ks1.t <- ks.test(newsam1,newsam2,alternative=par4))
mydf <- data.frame(cbind(z[,par1],z[,par2]))
colnames(mydf) <- c('Variable 1','Variable 2')
bitmap(file='test1.png')
boxplot(mydf, notch=TRUE, ylab='value',main=main)
dev.off()
bitmap(file='test2.png')
qqnorm(z[,par1],main='Normal QQplot - Variable 1')
qqline(z[,par1])
dev.off()
bitmap(file='test3.png')
qqnorm(z[,par2],main='Normal QQplot - Variable 2')
qqline(z[,par2])
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Two Sample t-test (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
if(!paired){
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 1',header=TRUE)
a<-table.element(a,r.t$estimate[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 2',header=TRUE)
a<-table.element(a,r.t$estimate[[2]])
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
a<-table.element(a,r.t$estimate)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,r.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,r.t$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,r.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,r.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,r.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(r.t$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',r.t$conf.int[1],',',r.t$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'F-test to compare two variances',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'F-stat',header=TRUE)
a<-table.element(a,v.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,v.t$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,v.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,v.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,v.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(v.t$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',v.t$conf.int[1],',',v.t$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Welch Two Sample t-test (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
if(!paired){
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 1',header=TRUE)
a<-table.element(a,r.w$estimate[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Mean of Sample 2',header=TRUE)
a<-table.element(a,r.w$estimate[[2]])
a<-table.row.end(a)
} else {
a<-table.row.start(a)
a<-table.element(a,'Difference: Mean1 - Mean2',header=TRUE)
a<-table.element(a,r.w$estimate)
a<-table.row.end(a)
}
a<-table.row.start(a)
a<-table.element(a,'t-stat',header=TRUE)
a<-table.element(a,r.w$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'df',header=TRUE)
a<-table.element(a,r.w$parameter[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,r.w$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,r.w$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,r.w$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI Level',header=TRUE)
a<-table.element(a,attr(r.w$conf.int,'conf.level'))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'CI',header=TRUE)
a<-table.element(a,paste('[',r.w$conf.int[1],',',r.w$conf.int[2],']',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,paste('Wicoxon rank sum test with continuity correction (',par5,')',sep=''),2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'W',header=TRUE)
a<-table.element(a,w.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,w.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'H0 value',header=TRUE)
a<-table.element(a,w.t$null.value[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Alternative',header=TRUE)
a<-table.element(a,w.t$alternative)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributions of two Samples',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'KS Statistic',header=TRUE)
a<-table.element(a,ks.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,ks.t$p.value)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Kolmogorov-Smirnov Test to compare Distributional Shape of two Samples',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'KS Statistic',header=TRUE)
a<-table.element(a,ks1.t$statistic[[1]])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-value',header=TRUE)
a<-table.element(a,ks1.t$p.value)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable2.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code