Learn about hypothesis testing, including the basics of Type 1 and Type 2 errors, statistical power, testing for population mean with known and unknown standard deviation, testing for population proportion, and Chi-squared tests for independence and goodness of fit. The course does not involve complex mathematics and is designed for individuals interested in understanding hypothesis testing concepts and applications.
Overview
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
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