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    How to Check if Data is Normally Distributed?

    Data distribution is a crucial aspect of statistical analysis, and understanding whether your data is normally distributed is essential for making accurate predictions and inferences.

    In this article, we will explore the ways to check if your data is normally distributed, why it’s important, and the implications of non-normality.

    Why is Normality Important?

    Before diving into the methods, let’s understand why normality is important.

    Many statistical tests and models assume that the data is normally distributed. If your data is not normally distributed, these tests and models may not be applicable, and the results may be incorrect or misleading.

    How to tell if data is normally distributed with mean and standard deviation

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  • Additionally, normality is often assumed in inferential statistics, such as hypothesis testing and confidence intervals.

    Methods for Checking Normality

    There are several ways to check if your data is normally distributed.

    Here are some of the most common methods:

    Visual Inspection

    Visual inspection is a simple and effective way to check for normality. A normal distribu

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