Type of Data
Goal Measurement (from Gaussian Population) Rank, Score, or Measurement (from Non- Gaussian Population) Binomial
(Two Possible Outcomes)
Describe one group Descriptive Statistics (Mean, SD) Median, interquartile range Proportion
Compare one group to a hypothetical value One-sample t test Wilcoxon test Chi-square
or
Binomial test
Compare two unpaired groups Unpaired t test Mann-Whitney test Fisher's test
(chi-square for large samples)
Compare two paired groups Paired t test Wilcoxon test McNemar's test
Compare three or more unmatched groups One-way ANOVA Kruskal-Wallis test Chi-square test
Compare three or more matched groups Repeated-measures ANOVA Friedman test Cochrane Q
Quantify association between two variables Pearson correlation Spearman correlation Contingency coefficients
Predict value from another measured variable Simple linear regression
or
Nonlinear regression
Nonparametric regression Simple logistic regression
Predict value from several measured or binomial variables Multiple linear regression
or
Multiple nonlinear regression
  Multiple logistic regression

 

 

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