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Effect of X on Y
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Statistics & Experimental Design
Explores conditional probability, Framingham studies, effect size, t-test, and sampling error in statistics.
Comparison Statistics: Hypothesis Testing and ANOVA
Explores comparison statistics, hypothesis testing, ANOVA, correlation, and linear regression.
Hypothesis Testing: Neyman-Pearson Framework
Covers hypothesis testing, types of errors, Neyman-Pearson framework, and one-sided Gaussian tests.
Understanding Statistics & Experimental Design
Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.
Decision Theory: Risk and Hypothesis Testing
Covers decision theory, risk functions, and hypothesis testing in statistical inference.
Statistical Hypothesis Testing: Unilateral and Bilateral Pairs
Explores unilateral and bilateral pairs in statistical hypothesis testing, covering critical values, test statistics, and p-values.
Hypothesis Testing and Confidence Intervals: An Overview
Covers hypothesis testing, confidence intervals, and their applications in statistics.
Likelihood Ratio Test: Hypothesis Testing
Explores hypothesis testing, emphasizing the likelihood ratio test and its applications in statistical analysis.
Maximum Likelihood Estimation: Multivariate Statistics
Explores maximum likelihood estimation and multivariate hypothesis testing, including challenges and strategies for testing multiple hypotheses.
Confidence Intervals and T-Test
Explores confidence intervals, T-test, and hypothesis testing, including assumptions and critical regions.
