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This introductory lecture explains the normal distribution, its relationship to the Central Limit Theorem, and how to use standard and general forms. It covers probability density, cumulative distribution functions, approximate probability calculations, and affine transformations.
Syllabus
Introduction
Central Limit Theorem
Probability Density
Standard Normal Distribution
General Normal Distribution
Examples
Cumulative distribution
Example
Taught by
Insights into Mathematics