Statistical hypothesis testing

Power estimation of a performed z test about mean(s). in matlab

The following Matlab project contains the source code and Matlab examples used for power estimation of a performed z test about mean(s). . Estimates the statistical power of a performed Z test about mean(s). It recalls you the statistical result of the test you should have arrived. It only needs the Z statistic, specified direction and significance level (default = 0.05).

Power1var in matlab

The following Matlab project contains the source code and Matlab examples used for power1var. Besides the power estimation it makes the hypothesis testing concerning the one-sample variance. The function only needs the sample variance, the sample size, the hypothesized value and the significance level.

Kruskal-wallis' nonparametric analysis of variance. in matlab

The following Matlab project contains the source code and Matlab examples used for kruskal-wallis' nonparametric analysis of variance. . Kruskal-Wallis' nonparametric analysis of variance test the difference among groups and it is applicable for equal or unequal sample sizes and if there are tied ranks. This file uses both the chi-squared and F approximations.

Anderson-darling k-sample procedure to test whether k sampled populations are identical. in matlab

The following Matlab project contains the source code and Matlab examples used for anderson-darling k-sample procedure to test whether k sampled populations are identical. . Anderson and Darling (1952, 1954) introduced a goodness-of-fit statistic to test the hypothesis that a random sample comes from a continuous population with a specified distribution function.

Determines the post-hoc statistical power of a performed analysis of variance model ii (random-effec in matlab

The following Matlab project contains the source code and Matlab examples used for determines the post-hoc statistical power of a performed analysis of variance model ii (random-effec . Estimates the statistical power of an analysis of variance Model II (random-effects) after it has been performed. It requires the observed F-statistic value, numerator degrees of freedom, denominator degrees of freedom and significance level.

Mcnemar's exact test. in matlab

The following Matlab project contains the source code and Matlab examples used for mcnemar's exact test. . This m-file performs the conditional as well as the Chi-squared corrected for discontinuity McNemar's exact test for two dependent (correlated) samples that can occur in matched-pair studies with a dichotomous (yes-no) response.

Compute the anova for repeated measures and holm-sidak test for multiple comparisons if anova is pos in matlab

The following Matlab project contains the source code and Matlab examples used for compute the anova for repeated measures and holm-sidak test for multiple comparisons if anova is pos . This function executes the analysis of variance when subjects underwent several treatments.

The definitive function for the fisher's exact and conditional test for any rxc matrix in matlab

The following Matlab project contains the source code and Matlab examples used for the definitive function for the fisher's exact and conditional test for any rxc matrix . Fisher's exact test permits calculation of precise probabilities in situation where, as a consequence of small cell frequencies, the much more rapid normal approximation and chi-square calculations are liable to be inaccurate.

R test paired in matlab

The following Matlab project contains the source code and Matlab examples used for r test paired. This simple function tests the null hypothesis that two variables are equally linearly correlated with a third variable when all three sets of observations were derived from the same "individuals" (i.

A very compact routine for fisher's exact test on 2x2 matrix; power and sample sizes calculation in matlab

The following Matlab project contains the source code and Matlab examples used for a very compact routine for fisher's exact test on 2x2 matrix; power and sample sizes calculation . Fisher's exact test of 2x2 contingency tables permits calculation of precise probabilities in situation where, as a consequence of small cell frequencies, the much more rapid normal approximation and chi-square calculations are liable to be inaccurate.

One sample paired samples permutation t test with correction for multiple comparisons in matlab

The following Matlab project contains the source code and Matlab examples used for one sample paired samples permutation t test with correction for multiple comparisons.      Permutation test of the null hypothesis that a set of data was sampled from a symmetric distribution with a particular mean.

Chi2test2 in matlab

The following Matlab project contains the source code and Matlab examples used for chi2test2.   H = CHI2TEST2(X) performs a chi-squared two-sample test of the   similarity of two samples, under the null hypothesis that two samples   come from the same (non-specified) distribution.

Permutation test based on aly statistics in matlab

The following Matlab project contains the source code and Matlab examples used for permutation test based on aly statistics . input: - x1 (vector), the first sample - x2 (vector), the second sample - alpha, alpha (or significance) level - tail ({'left','right','both'}), type of alternative hypothesis - maxperm, number of iterations to perform output: - p, p-value - h, hypothesis test result

A very compact routine for fisher's exact test on 2x3 contingency table in matlab

The following Matlab project contains the source code and Matlab examples used for a very compact routine for fisher's exact test on 2x3 contingency table . Fisher's exact test of 2x3 contingency tables permits calculation of precise probabilities in situation where, as a consequence of small cell frequencies, the much more rapid normal approximation and chi-square calculations are liable to be inaccurate.

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