Identifying when data is normally distributed is a statistical technique that enables researchers and analysts to make inferences from the sample data to the larger population. This knowledge is essential for many statistical analyses, such as hypothesis testing, confidence interval estimation, and regression analysis.
There are several ways to check if data is normally distributed. One common method is to create a histogram of the data. If the histogram is bell-shaped, then the data is likely to be normally distributed. Another method is to use a normal probability plot. If the data points fall along a straight line on the normal probability plot, then the data is likely to be normally distributed.
