Testing: t-tests | EPFL Graph Search

Explores bias, variance, unbiased estimators, and confidence intervals in statistical estimation.

Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.

Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.

Introduces t-tests, focusing on hypothesis testing and comparing coefficients using the t-distribution.

Discusses estimation methods in probability and statistics, focusing on maximum likelihood estimation and confidence intervals.