![]() How to understand and present the practical implications of your non-normal distribution in an easy-to-understand manner is an ongoing challenge for analysts. However, it's a fact of life that not all data follow the Normal distribution. Hey, a lot of stuff is just abnormal.er.non-normally distributed. ![]() ![]() It is not as intuitive to understand a Gamma distribution, with its shape and scale parameters, as it is to understand the familiar Normal distribution with its mean and standard deviation. However, many people are more comfortable with the symmetric, bell-shaped curve of a normal distribution. ![]() ![]() I love all data, whether it’s normally distributed or downright bizarre. ![]()
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