100 Statistical Tests (2024)

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.

The landscape of statistical analysis is defined by a vast toolkit of tests, often cited in the classic compendium 100 Statistical Tests by Gopal K. Kanji. These tests serve as the bridge between raw data and scientific certainty, allowing researchers to determine if their findings represent genuine patterns or mere coincidences. The Categorization of Tests 100 Statistical Tests

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?). These are the workhorses of research

Regardless of which of the 100 tests is used, they almost all follow a unified logic: The assumption that there is no effect or difference. The Alternative Hypothesis ( H1cap H sub 1 ): The claim that there is a significant effect. The landscape of statistical analysis is defined by