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Related lectures (30)

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

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Probability and Statistics

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

Law of Total Probability

Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.

Hydrologic Design: Probability & Statistics

Explores the application of probability and statistics in hydrologic design, covering topics such as return period, risk assessment, and empirical data analysis.

Conditional Probability: Prediction Decomposition

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Probability and Statistics for SIC

Delves into probability, statistics, random experiments, and statistical inference, with practical examples and insights.

Conditional Expectation: Basics

Introduces the basics of conditional expectation, covering definitions, properties, and examples in the context of random variables.

Variance and Covariance: Properties and Examples

Explores variance, covariance, and practical applications in statistics and probability.

Random Variables and Expected Value

Introduces random variables, probability distributions, and expected values through practical examples.

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