This chapter shows how to characterize the position and the variability of a distribution, and then uses the normal distribution to describe the most important Python methods common to all distribution functions. Then the most important discrete and continuous distributions are presented, such as the t-distribution, chi-square-distribution, and the F-distribution.
Probability Density Function Probability Density Function Cumulative Distribution Function Binomial Distribution Standard Normal Distribution
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