Hypothesis Testing & Statistical Inference

Choose the right test, compute and read a p-value correctly, size a study, and avoid the traps that produce false discoveries

Learn hypothesis testing from first principles: p-values and their misreadings, Type I/II errors and power, z, t, Welch, paired, chi-square and proportion tests, non-parametric alternatives, confidence intervals, effect sizes, multiple-comparison corrections, bootstrap and sample-size formulas.

Practice questions (6)

• Compute and Interpret a Two-Sample t-Test

  Intermediate · Free
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• Correcting a Stakeholder's Reading of a p-Value

  Intermediate
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• Which Test, and Why?

  Intermediate
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• Twelve Metrics, Three Stars

  Intermediate
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• How Many Users Do We Need?

  Intermediate
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Quizzes (1)