Normal Distribution Calculator

Cumulative distribution function (CDF), Percentile, Probability between two values and Probability density function (PDF)

Distribution Normal Binomial T Chi-Square F Poisson Weibull Exponential

Mean (μ):

Standard deviation (σ):

Rate (λ) The average number of events per unit of time

Shape (k) The shape parameter, also known as the Weibull slope. When shape=1, it is the exponential distribution

Scale (λ) The larger the scale parameter, the more spread out the distribution.
For the exponential distribution, this parameter represents the average duration between the events'

Degrees of freedom

Degrees of freedom - denominator

Probability of success (P) The probability of succeed in one trial

Sample size (n) The number of trials

Probability (p) or percentile (𝑥) 𝑥₁: calculates p(X≤𝑥₁)
p(X≤𝑥₁): calculates 𝑥₁
𝑥₁, 𝑥₂: calculates p(𝑥₁≤X≤𝑥₂)
p(X≤𝑥₁), p(X≤𝑥₂):
calculates 𝑥₁, 𝑥₂, p₂-p₁ 𝑥₁ p(X≤𝑥₁) 𝑥₁, 𝑥₂ p(X≤𝑥₁), p(X≤𝑥₂)

𝑥₁

𝑥₂

Rounding: 1 2 3 4 5 6 7 6 9 10 20

After the first run, calculate on every field change