Probability Distribution Plotter
Plot PMF and CDF for a binomial distribution.
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What This Calculator Does
Plot PMF and CDF for a binomial distribution.
It combines Trials (n), Success Probability (p) to estimate Mean, Variance.
Formula & Method
Core equations: Binomial PMF/CDF: P(X=k)=\binom{n}{k}p^k(1-p)^{n-k},\quad F(k)=\sum_{i=0}^{k}P(X=i).
Notation used in the formulas: R = Mean; x_{1} = Trials (n); x_{2} = Success Probability (p).
Method summary: inputs are normalized to consistent units, core equations are evaluated, then secondary values are derived and rounded for display.
Use this calculator for quick scenario analysis. Start with baseline values, change one driver at a time, and compare how sensitive the results are to each input shown above.
Inputs Used
- Trials (n): Used directly in the calculation.
- Success Probability (p): Used directly in the calculation.
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