Probability and Statistics

Related lectures (30)

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

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

Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Covers the normal distribution, including its properties and calculations.

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

Covers the modes of convergence of random variables and the Central Limit Theorem, discussing implications and approximations.

Covers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.

Explores conditional density, expectations, and independence of random variables with practical examples.

Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.