100 Statistical Tests Today

To manage such a large number of procedures, statisticians group them based on the nature of the data and the specific question being asked:

Parametric tests (like the t-test or ANOVA ) assume the data follows a specific distribution, usually the normal distribution. Non-parametric tests (like the Mann-Whitney U or Wilcoxon signed-rank ) make fewer assumptions and are used for skewed data or small samples. 100 Statistical Tests

The probability that the observed results occurred by chance. Generally, a p-value less than 0.05 suggests the result is "statistically significant." Choosing the Right Tool To manage such a large number of procedures,

These are the workhorses of research. A One-sample t-test compares a group to a known value, while an Independent samples t-test compares two distinct groups. For three or more groups, the F-test (ANOVA) is used. Generally, a p-value less than 0

These determine if two variables move together. Pearson’s Correlation measures linear relationships, while the Chi-square test evaluates the independence of categorical variables (e.g., does gender affect voting preference?).