Lectures related to False discovery rate

Explains hypothesis testing using T-test and Chi-square test to compare means and assess independence of variables.

Explores performance criteria in supervised learning, emphasizing precision, recall, and specificity in model evaluation.

Covers conditional probability, illustrating how events influence each other's probabilities and its applications in real-world scenarios.

Explores hypothesis testing in statistics, focusing on decision-making based on sample data and controlling error probabilities.