Confidence Intervals and Test Assumptions › What's Next
Michael BrenndoerferUpdated January 12, 20261 min read
Machine Learning from ScratchAll chapters Part 2 of 9Hypothesis Testing
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In the next chapter, The Z-Test, we'll explore z-tests in depth: one-sample tests, two-sample tests, and tests for proportions. You'll learn when the z-test is appropriate and how to apply it correctly.
Subsequent chapters cover the t-test (the workhorse of hypothesis testing), the F-test for comparing variances, ANOVA for comparing multiple groups, Type I and Type II errors, power analysis, effect sizes, and multiple comparison corrections. Each chapter builds on the foundations established here.