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8. T-Test Calculator for 2 Dependent Means - The t-test for dependent means (also called a repeated-measures t-test, paired samples t-test, matched pairs t-test and matched samples t-test) is used to compare the means of two sets of scores that are directly related to each other.

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**Mann- Whitney U Test Calculator**- The Mann-Whitney U test is a nonparametric test that allows two groups or conditions or treatments to be compared without making the assumption that values are normally distributed.2.

**Binomial Test Calculator**- This binomial test calculator determines the probability of a particular outcome (K) across a certain number of trials (n), where there are precisely two possible outcomes.3.

**One-Way Anova**- The one-way, or one-factor, ANOVA test for independent measures is designed to compare the means of three or more independent samples (treatments) simultaneously.4.

**Chi-Square Test Calculators**- (Calculator 1) and (Calculator 2)5.

**Fisher Exact Test Calculator -****6.**

**Chi-Square Calculator for Goodness of Fit -****7. Student T-Test Calculator for Comparing 2 Independent Means - This test is used when you're looking at a numerical variable - for example, height - and then comparing the averages of two separate populations or groups (e.g., males and females).**

8. T-Test Calculator for 2 Dependent Means - The t-test for dependent means (also called a repeated-measures t-test, paired samples t-test, matched pairs t-test and matched samples t-test) is used to compare the means of two sets of scores that are directly related to each other.

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**Single Sample T-Test Calculator**- A single sample t-test (or one sample t-test) is used to compare the mean of a single sample of scores to a known or hypothetical population mean.10.

**Mann-Whitney U Test Calculator**- The Mann-Whitney U test is a nonparametric test that allows two groups or conditions or treatments to be compared without making the assumption that values are normally distributed.11.

**Wilcoxon Signed-Rank Test Calculator**- The Wilcoxon test is a nonparametric test designed to evaluate the difference between two treatments or conditions where the samples are correlated. In particular, it is suitable for evaluating the data from a repeated-measures design in a situation where the prerequisites for a dependent samples t-test are not met.