This lecture covers the calculation of paired t-tests, advantages/disadvantages of different t-tests, one-sided vs. two-sided tests, confidence intervals, appropriate tests for different scenarios, and the concept of ANOVA for comparing multiple means.
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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.
Covers confidence intervals, hypothesis tests, standard errors, statistical models, likelihood, Bayesian inference, ROC curve, Pearson statistic, goodness of fit tests, and power of tests.
