Lectures related to Probability: Quiz

Probability Basics: Theory and Applications

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

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

Normal Distribution: Properties and Calculations

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

Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.

Random Variables: Basics and Examples

Explains random variables, distributions, and Bernoulli trials with coin flip examples.

Probability: Bernoulli Trials

Explores Bernoulli trials, independent trials, and the binomial distribution.

Probability and Statistics

Covers probability, statistics, independence, covariance, correlation, and random variables.

Probability and Statistics

Introduces key concepts in probability and statistics, illustrating their application through various examples and emphasizing the importance of mathematical language in understanding the universe.