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Statistics Tutorials and Data Analysis Guides

Practical guides for SPSS, R, Python, Excel, Power BI, statistical tests, calculators, dashboards and interpretation.

SPSS Output Regression ANOVA Dashboards
TA Academic Support
Academic Support AP Statistics Unit 4: Inference for Quantitative Data: Means

Two-Sample and Paired t Tests: Design and Calculation

Choosing between a two-sample t test and a paired t test is a design decision before it is a calculation. Independent groups require a two-sample procedure; matched people, repeated measurements, or deliberately paired units require a one-sample t test on the within-pair differences.

Read: Two-Sample and Paired t Tests: Design and Calculation
CG Academic Support
Academic Support AP Statistics Legacy / enrichment Legacy and Enrichment

Chi-Square Goodness-of-Fit Test: Legacy AP Guide

The chi square goodness of fit test compares one categorical variable’s observed counts with a fully specified distribution of expected proportions. College Board removed this procedure from the revised AP Statistics course beginning in 2026–27, so this page is retained for older released material, enrichment, and college-statistics continuity.

Read: Chi-Square Goodness-of-Fit Test: Legacy AP Guide
CT Academic Support
Academic Support AP Statistics Unit 3: Inference for Categorical Data: Proportions

Chi-Square Test of Homogeneity and Independence

Chi-square tests of homogeneity and independence use the same expected-count formula and chi-square statistic but begin from different data-collection stories. Homogeneity compares categorical distributions across populations or treatments; independence asks whether two categorical variables are associated within one population.

Read: Chi-Square Test of Homogeneity and Independence