Statistical Inference: Hypothesis Testing
Testing claims about populations
What You'll Learn in Statistical Inference: Hypothesis Testing
Testing claims about populations
This section contains 6 topics with 0 practice problems and 0 flashcards. Each topic includes comprehensive written notes, worked examples with detailed solutions, and interactive lessons for hands-on practice.
Topics Covered
- Hypothesis Testing Framework — Set up hypothesis tests with null and alternative hypotheses, significance level, and p-values.
- Type I and Type II Errors — Understand Type I and Type II errors, their probabilities, and the concept of power.
- Tests for Proportions — Perform one-sample and two-sample z-tests for proportions.
- Tests for Means — Perform one-sample and two-sample t-tests for means.
- Paired Data — Analyze paired data using the paired t-test and matched pairs designs.
- Chi-Square Tests — Perform chi-square tests for goodness of fit, homogeneity, and independence.
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All Topics in Statistical Inference: Hypothesis Testing
Hypothesis Testing Framework
Set up hypothesis tests with null and alternative hypotheses, significance level, and p-values.
Type I and Type II Errors
Understand Type I and Type II errors, their probabilities, and the concept of power.
Tests for Proportions
Perform one-sample and two-sample z-tests for proportions.
Tests for Means
Perform one-sample and two-sample t-tests for means.
Paired Data
Analyze paired data using the paired t-test and matched pairs designs.
Chi-Square Tests
Perform chi-square tests for goodness of fit, homogeneity, and independence.