Skewness measures the symmetry of your data. It can indicate whether or not your data adheres to a normal distribution. It’s okay for your data to have skewness, it can indicate outliers in your data ...

Where \(X\) is a normally distributed random variable with mean \(\mu\) and standard deviation \(\sigma\). The peak of the curve occurs at \(x=\mu\), and the spread ...