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Wilcoxon signed-rank test
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Statistical inference
Non-parametric statistics
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Related lectures (25)
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Hypothesis Testing: T-Test Methodology
Explores hypothesis testing methodology using t-tests and the randomization test.
Z-Test: Hypothesis Testing
Introduces hypothesis testing, focusing on the Z-test and critical regions.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Bayesian Statistics: Hypothesis Testing and Estimation
Covers hypothesis testing, p-values, significance levels, and Bayesian estimation.
Statistical Modeling: Estimation and Hypothesis Testing
Covers statistical modeling, estimation, CLT, confidence intervals, and hypothesis testing steps with practical examples.
T-tests and Empirical Tests
Explores t-tests, z-tests, and empirical tests for sample comparison and hypothesis testing.
Linear Independence: Covariance and Statistical Dependence
Explores covariance, statistical dependence, education-fertility relationship, hypothesis testing, and comparison statistics for continuous outcomes.
Analysis of Variance (ANOVA)
Covers Analysis of Variance (ANOVA) for assessing categorical variable effects on quantitative outcomes.
Opportunity Evaluation: Criteria and Prototyping
Explores evaluating market opportunities, criteria, prototyping, and testing strategies for product development.
Testing: t-tests
Covers t-tests, p-values calculation, and comparison of coefficients.