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Estimating R
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Advanced Probabilities: Random Variables & Expected Values
Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including conditional probability, Bayes' rule, and random variables.
Probability Theory: Midterm Solutions
Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.
Conditional Density and Expectation
Explores conditional density, expectations, and independence of random variables with practical examples.
Normal Distribution: Properties and Calculations
Covers properties and calculations related to the normal distribution, including probabilities and quantiles.
Continuous Random Variables: Basic Ideas
Explores continuous random variables and their properties, including support and cumulative distribution functions.
Probability Theory: Basics and Applications
Covers the fundamentals of probability theory, including corollaries, conditional probability, total probability theorem, and random variables.
Probability Models: Fundamentals
Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.
Probability Fundamentals
Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.
Linear Combinations: Moment-Generating Functions
Explores moment-generating functions, linear combinations, and normality of random variables.