Probability Distributions

from scipy import stats

procedure	scipy.stats
Binomial pdf $P (X = x)$	`stats.binom.pmf(x,n,p)`
Binomial cdf $P (X \leq x)$	`stats.binom.cdf(x,n,p)`
Normal cdf $P (X \leq x)$	`stats.norm.cdf(x,mean,std)`
Inverse Normal or p-th Percentile	`stats.norm.ppf(p,mean,std)`
t distribution cdf $P (X \leq x)$	`stats.t.cdf(t,df,0,1)`
Inverse t or p-th Percentile	`stats.t.ppf(p,df,0,1)`
chi-square cdf $P open parenthesis χ squared less than or equal to c h 2 close parenthesis$	`stats.chi2.cdf(ch2,k-1)`
Inverse chi-square or p-th Percentile	`stats.chi2.ppf(p,k-1)`

Adapted from Python for Introductory Statistics, by Simon Aman (Truman College, City Colleges of Chicago), licensed under CC BY 4.0. Changes were made: reformatted as an accessible XYZ web edition with live in-browser code cells. License: CC-BY-4.0.