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An introduction to probability distributions in Python, focusing on normal and Poisson distributions. It covers topics such as probability density, mean, standard deviation, normal sampling, probability mass function, cumulative distribution function, and percent point function. code examples using the scipy.stats library.
What you will learn
Typology: Study notes
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Alexander A. Ramírez M.
Modeling for measures
Probability density
Probability density examples
Symmetry
Mean
Mean (Cont.)
Standard deviation
Standard deviation (Cont.)
One standard deviation
Three standard deviations
Normal sampling
Alexander A. Ramírez M.