Finance Certifications Goldman Sachs and Amazon Teams Trust
Master Production-Ready Machine Learning, Step by Step
Overview
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This course introduces the fundamentals of hypothesis testing, including Type I and Type II errors and statistical power, then covers tests for means, proportions, independence, and goodness of fit.
Syllabus
Hypothesis testing #1: Basics (no maths!).
HYPOTHESIS TESTING BASICS: Type 1/Type 2 errors | Statistical power.
Hyp testing #2: Testing for μ when σ is known..
Hyp testing #3: Testing for μ when σ is unknown.
Hyp testing #4: testing for the population proportion, p (or π).
Chi-squared Test for Independence! Extensive video!.
Chi-squared Goodness of Fit Test! Extensive video!.
Taught by
zedstatistics