BiteSize Stats: Hypothesis Testing for Two Samples

О курсе

BiteSize Statistics for Business: Hypothesis Testing for Two Samples is the second course in the BiteSize Stats for Business specialization. It extends single-sample inference to the comparisons that drive most real business decisions: does group A differ from group B — in a mean, a proportion, a category, or across more than two groups at once? Across five modules, learners progress from two-sample Z- and t-tests for independent groups (including full A/B testing pipelines), through the paired t-test for before/after and matched designs, to the two-proportion Z-test, the chi-square test of independence with Cramér's V, and finally one-way ANOVA with Tukey's HSD post-hoc test. Every core lesson pairs a focused reading with a hands-on interactive notebook built around a realistic business scenario, and every module includes a fully worked demo case study and one or more ungraded practice projects applying the module's tools to a new scenario.

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Di Wu

Instructor