Binomial, Hyper Geometric, Negative Binomial, and Poisson Distribution Calculator
To use this statistics distribution calculator, it is suggested to have Python version 2.7.9 or later.
To use the binomial distribution calculator, enter the flags b or B, the number of independent trials n, the probability of success p, and optionally the number of successes in the n trials x.
Example command line:
python main.py b 25 .05 3
To use the hyper geometric distribution calculator, enter the flags h or H, the sample size n, the number of successes M, the finite population size N, and optionally the number of success in the sample x.
Example command line:
python main.py h 10 8 20 2
To use the negative binomial distribution calculator, enter the flags nb or NB, the number of successes r, the probability of success p, optionally the number of failures, and optionally the total number of trials n.
Example command line:
python main.py nb 1 .2 2 3
To use the Poisson distribution calculator, enter the flags p or P, the parameter lambda, and optionally the number of successes x.
Example command line:
python main.py p 2.4 4
- Returns expected value
E(X) - Returns variance
V(X) - Returns standard deviation
SD(X) - If applicable, returns
P(X = x) - If applicable, returns
P(X <= x) - If applicable, returns
P(X < x) - If applicable, returns
P(X >= x) - If applicable, returns
P(X > x)