test-t

Calculate the Student t Test for unequal or equal samples size, unpaired or paired samples.
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更新 2018/3/31

Student's t test for unpaired or paired samples.
This file is applicable for equal or unequal sample sizes; for paired or
unpaired samples. When the test is unpaired, the Fisher-Snedecor F-test is
performed to assess the equality of variance. If variances are not equal,
Satterthwaite's approximate t test is performed.
Syntax: TESTT(X1,X2,TST,ALPHA,TAIL)

Inputs:
X1 and X2 - data vectors (mandatory).
TST - unpaired (0) or paired (1) test (default = 0).
ALPHA - significance level (default = 0.05).
TAIL - 1-tailed test (1) or 2-tailed test (2). (default = 1).
Outputs:
- t value.
- degrees of freedom.
- Confidence interval of means difference (for paired test)
- p-value
- Power
Example:
X1=[77 79 79 80 80 81 81 81 81 82 82 82 82 83 83 84 84 84 84 85 ...
85 86 86 87 87];

X2=[82 82 83 84 84 85 85 86 86 86 86 86 86 86 86 86 87 87 87 88 ...
88 88 89 90 90];

Calling on Matlab the function: testt

Answer is:

FISHER-SNEDECOR F-TEST FOR EQUALITY OF VARIANCES

F DF_numerator DF_denominator p_value
______ ____________ ______________ _______

1.5379 24 24 0.29861

--------------------------------------------------------------------------------
Variances are equal
--------------------------------------------------------------------------------

STUDENT'S T-TEST FOR UNPAIRED SAMPLES

t DF tail p_value Power
______ __ ____ _________ _______

5.2411 48 1 1.765e-06 0.99958

STATS=TESTT(...) returns a structure with all test(s) statistics

Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format:
Cardillo G. (2006). Student t-Test for unpaired or paired samples.
http://www.mathworks.com/matlabcentral/fileexchange/12699

引用

Giuseppe Cardillo (2024). test-t (https://github.com/dnafinder/testt), GitHub. 取得済み .

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GitHub の既定のブランチを使用するバージョンはダウンロードできません

バージョン 公開済み リリース ノート
2.0.0.0

help correction
input parser and table command implementation. Github link
.

1.6.0.0

To compute power, Testt requires powerStudent by Trujillo-Ortiz, A. and R. Hernandez-Walls. If this function is not present on the computer, Sandler try to download it from FEX

1.5.0.0

Changes in description

1.4.0.0

STATS structure creation

1.3.0.0

Mistake correction in error handling routines

1.2.0.0

Fisher-Snedecor F-test check added; Satterthwaite's approximation added; changes in output format

1.1.0.0

Change in Help section

1.0.0.0

Improvement in input error handling

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この GitHub アドオンでの問題を表示または報告するには、GitHub リポジトリにアクセスしてください。