Random Variables: Introduction and Bernoulli Trials

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Page 3 of 3

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Probabilities and Statistics: Key Theorems and Applications

Discusses key statistical concepts, including sampling dangers, inequalities, and the Central Limit Theorem, with practical examples and applications.

Advanced Probabilities: Random Variables & Expected Values

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Expectation Properties: Linearity, Inclusion-Exclusion Formula

Covers the properties of expectation and examples of calculating expectations for random variables.

Estimating R: Example 100

Explores correlation limitations, probability, random variables, and statistical inference using a ball-drawing example.

Probability and Statistics

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

Probability Convergence

Explores probability convergence, discussing conditions for random variable sequences to converge and the uniqueness of convergence.

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.

Data Analysis: Correlation Measures

Covers the basics of data analysis, focusing on statistical concepts and correlation measures.

Random Variables: Basics and Examples

Explains random variables, distributions, and Bernoulli trials with coin flip examples.