# Power and hypothesis testing for difference between two variances. in matlab

The following Matlab project contains the source code and Matlab examples used for power and hypothesis testing for difference between two variances. . Estimates the power and the hypothesis testing for difference between two variances.

# 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.

# Sample size in tests for difference between two variances. in matlab

The following Matlab project contains the source code and Matlab examples used for sample size in tests for difference between two variances. . Sample size required to achieve a specified test for difference between two variances, using the normal approximation.

# 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.

# Pearson chi square hypothesis test in matlab

The following Matlab project contains the source code and Matlab examples used for pearson chi square hypothesis test. CHI2TEST: Single sample Pearson Chi Square goodness-of-fit hypothesis test.

# Levene's test for homogeneity of variances. in matlab

The following Matlab project contains the source code and Matlab examples used for levene's test for homogeneity of variances. . Levene's F test is used to test the null hypothesis that multiple population variances corresponding to multiplesamples are equal.

# Welch's test for homogeneity of variances. in matlab

The following Matlab project contains the source code and Matlab examples used for welch's test for homogeneity of variances. . Welch's test is developed to estimate whether more than two groups are homoscedastic. Also the Welch's test can be used as an alternative analysis of variance when samples variances are unequal.

# T test with bonferroni correction in matlab

The following Matlab project contains the source code and Matlab examples used for t test with bonferroni correction. This function can be used to perform multiple comparisons between groups of sample data.

# Conover's two sample squared ranks test for equality of variance in matlab

The following Matlab project contains the source code and Matlab examples used for conover's two sample squared ranks test for equality of variance. Performs the nonparametric squared ranks test on quality of variance for two samples.

# Barnard's exact probability test. in matlab

The following Matlab project contains the source code and Matlab examples used for barnard's exact probability test. . This file, as the Fisher's exact test, performs the exact probability test for a table of frequency data cross-classified according to two categorical variables, each of which has two levels or subcategories (2x2).

# Fisher's exact probability test. in matlab

The following Matlab project contains the source code and Matlab examples used for fisher's exact probability test. . This file performs the Fisher exact probability test for a table of frequency data cross-classified according to two categorical variables, each of which has two levels or subcategories (2x2).

# Tukey's hsd multiple comparisons test among proportions. in matlab

The following Matlab project contains the source code and Matlab examples used for tukey's hsd multiple comparisons test among proportions. . A statistical analysis used for count data is to compare the proportions of a binary outcome of interest for two or more groups.

# 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.

# Sequential analysis in matlab

The following Matlab project contains the source code and Matlab examples used for sequential analysis. In statistics, sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance.

# 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.

# Fisher's exact test with n x m contingency table in matlab

The following Matlab project contains the source code and Matlab examples used for fisher's exact test with n x m contingency table.     Fisher's exact test is a statistical test used to determine if there are nonrandom associations between two categorical variables[1].

# Bonferroni holm correction for multiple comparisons in matlab

The following Matlab project contains the source code and Matlab examples used for bonferroni holm correction for multiple comparisons. Bonferroni-Holm (1979) correction for multiple comparisons.

# 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.

# Welch anova test for unequal variances without data. in matlab

The following Matlab project contains the source code and Matlab examples used for welch anova test for unequal variances without data. . The ANOVA F-test to compare the means of k normally distributed populations is not applicable when the variances are unknown, and not known to be equal.

# 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.

# Shapiro wilk and shapiro francia normality tests. in matlab

The following Matlab project contains the source code and Matlab examples used for shapiro wilk and shapiro francia normality tests.. Shapiro-Wilk parametric hypothesis test of composite normality, for sample size 3<= n <= 5000. Based on Royston R94 algorithm. This test also performs the Shapiro-Francia normality test for platykurtic samples.

# Grs test statistic in matlab

The following Matlab project contains the source code and Matlab examples used for grs test statistic. This function calculates the F-Statistic and the corresponding p-Value of the GRS-Test proposed by Gibbons/Ross/Shanken (1989), p.