Tests by Variable and Type
| For Comparative Hypotheses: |
For Relational Hypotheses: |
| Parametric |
Parametric |
| Independent Samples t-Test |
Pearson Product-moment Correlation |
| Paired-samples t-Test |
Canonical Correlation** |
| One-way Analysis of Variance (ANOVA) |
Simple Linear Regression |
| One-way Analysis of Covariance (ANCOVA) |
Multiple Regression |
| Two-way Analysis of Variance (Factorial ANOVA) |
|
| Two-way Analysis of Covariance (Factorial ANCOVA) |
|
| Repeated Measures Analysis of Variance (ANOVA) |
|
| One-way Multivariate Analysis of Variance (MANOVA)* |
|
| One-way Multivariate Analysis of Covariance (MANCOVA)* |
|
| Two-way Multivariate Analysis of Variance (Factorial MANOVA)* |
|
| Two-way Multivariate Analysis of Covariance (Factorial MANCOVA)* |
| Nonparametric |
Nonparametric |
| Pearson One-way Chi-Square |
Cramér's V |
| Contingency Analysis (Cochran-Mantel-Haenszel) |
Spearman Rank-order Correlation |
| McNemar's Test |
Biserial Correlation |
| Mann-Whitney U |
Kendall's tau |
| Kruskal-Wallis H |
Somers' d |
| Wilcoxon Matched Pairs Signed-Rank Test |
Logistic Regression** |
| Cochran's Q |
Discriminant Analysis** |
| Friedman's Test |
|
| For Testing Assumptions about Data |
| Normality |
|
| Kolmogorov-Smirnov |
|
| Shapiro-Wilk |
|
| Doornik-Hansen |
|
| Equality of Variance |
|
| Levene's Test for Homogeneity of Variance |
|
| Tests for Outliers |
|
| Mahalanobis Distance |
|
| Minimum Covariance Determinant (MCD) |
|
| Tests demonstrated in Julia, Python™, R, SPSS™, SAS™, and Stata™, except where noted. |
| * Tests not demonstrated in Julia. |
|
| ** Tests not demonstrated in either Julia or Python™. |
|
