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Distribution Fit and Normality Calculator

Fit a normal or exponential distribution, inspect a Q–Q plot, and assess normal skew and tails.

Your inputs

Normal or exponential fits, 8–1000 observations. Q–Q and descriptive KS D; normal Jarque–Bera asymptotic p-value only. No Shapiro–Wilk or calibrated KS/Lilliefors p-value, no automatic model selection or censoring.

Your calculation

Result

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How to use this calculator

Enter numeric observations and choose a candidate distribution. Inspect the Q–Q plot and binned observed versus fitted counts.

Formula and method

Normal MLE μ̂=mean, σ̂²=Σ(x−mean)²/n. Exponential MLE λ̂=1/mean. JB=n[skew²+(kurtosis−3)²/4]/6.

Worked example

A symmetric sample has skew near zero; a small Jarque–Bera p-value flags deviation in skew or kurtosis.

Assumptions and supported scope

Normal or exponential fits, 8–1000 observations. Q–Q and descriptive KS D; normal Jarque–Bera asymptotic p-value only. No Shapiro–Wilk or calibrated KS/Lilliefors p-value, no automatic model selection or censoring.

Method references

Method and worked example checked against the calculator implementation. About our methods · Report a correction

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