Statistical Tests Header |
Statistical tests provide a means of testing whether the outcome of an experiment could have
been accidental. Analytics Library includes the following hypothesis tests, categorized as
follows:
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| Category | Test Names |
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| Parametric Tests | * Two Sample T-Test for Equal Means |
| | * T Paired |
| | * T Unpaired |
| | * T Unpaired with Indicator |
| | * F-Test - N-Way |
| | * F-Test/Analysis of Variance (Two Way Unequal Sample Size) |
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| Binomial Tests | * Binomial/Ztest |
| | * Binomial Sign Test |
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| Tests based on Contingency | * Chi Square Test |
| | * Median Test |
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| Kolmogorov/ Smirnoff Tests | * Kolmogorov/Smirnoff Test (One Sample) |
| | * Lilliefors Test |
| | * Shapiro-Wilk Test |
| | * D'Agostino and Pearson Test |
| | * Smirnov Test |
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| Rank Tests | * Mann-Whitney/Kruskal-Wallis Test |
| | * Mann-Whitney/Kruskal-Wallis Independent Tests |
| | * Wilcoxon Signed Ranks Test |
| | * Friedman Test with Kendall's Coefficient of Concordance & |
| | Spearman's Rho |
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Note:
Date types are not a standard numeric data type and as such may not function properly
in statistical tests.