Testing: t-testsCovers t-tests, p-values calculation, and comparison of coefficients.
Probability and StatisticsIntroduces probability, statistics, distributions, inference, likelihood, and combinatorics for studying random events and network modeling.
Probability and StatisticsCovers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Interval EstimationCovers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Binomial DistributionsCovers the normal distribution, inferential statistics, probability, and the binomial distribution in the context of the 'Dishonest Gambler Problem'.
Maximum Likelihood InferenceExplores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
