Work out shapiro wilk test instantly with clear inputs, formula shown and shareable results.
This assesses normality using the Jarque-Bera statistic, which combines sample skewness and excess kurtosis and follows chi-square with 2 degrees of freedom under normality. It serves the same purpose as Shapiro-Wilk without needing tabulated coefficients.
Jarque-Bera
JB = (n/6)(S² + K²/4), compared to chi-square with 2 df
The data is skewed or heavy-tailed enough that a normal model is doubtful.
No. It only means the sample is consistent with normality, and small samples have little power to detect departures.