Hydrologic Design: Probability & Statistics

Related lectures (30)

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

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

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

Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.

Covers the normal distribution, including its properties and calculations.

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

Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.

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

Explores independence and covariance between random variables, discussing their implications and calculation methods.

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