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What is Continuous Distributions and Variance about?

This document summarizes a lecture on continuous probability distributions, expected value, variance, and the normal distribution. It discusses how continuous distributions differ from discrete ones in assigning probability density rather than mass. It defines expected value and variance, and shows how to calculate them for different distributions like the binomial and uniform. The normal distribution is introduced as having a density function defined by its mean and variance, and the central limit theorem

Author

qwerty

Language

EN