test-t

Calculate the Student t Test for unequal or equal samples size, unpaired or paired samples.
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Actualizado 31 mar 2018

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

Citar como

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

Compatibilidad con la versión de MATLAB
Se creó con R2014b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre ANOVA en Help Center y MATLAB Answers.
Agradecimientos

Inspiración para: apptest, hellotest<img src=x onmouseover>

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No se pueden descargar versiones que utilicen la rama predeterminada de GitHub

Versión Publicado Notas de la versión
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

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.