Lectures related to Statistical Physics IV: Maximum Step Size in Series Increments

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Explores air pollution analysis using wind data, probability distributions, and trajectory models for air quality assessment.

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

Covers the normal distribution, including its properties and calculations.

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

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.