Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
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 probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
