Lectures related to Genetic Transmission: Probability and Disease

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Covers properties and calculations related to the normal distribution, including probabilities and quantiles.

Covers basic probability theory, conditional probability, independence, and Bayes' Theorem.

Covers the basics of probability theory, random variables, joint probability, and inference.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Explores the probability of complementary events and unions, with examples on dice rolls and number selection.

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.