Key Points Normality refers to how your data fits into a normal distribution. You can find out if your data is uniform by ...

Key Points A Box-Cox Power Transformation allows you to transform data to match a normal distribution. It is not a guarantee ...

The normal distribution describes a symmetrical plot of data around its mean value, where the width of the curve is defined by the standard deviation. It is visually depicted as the "bell curve." ...

Normal or bell curve distribution can be used in portfolio theory to help portfolio managers maximize return and minimize risk.

The histogram, boxplot, and normal probability plot are three graphics that can be used when assessing the distribution of a set of data. Figure 2, left panel, shows a histogram of some typical ...

Since the point pattern is curved with slope increasing from left to right, a theoretical distribution that is skewed to the right, such as a lognormal distribution, should provide a better fit than ...

Visualization methods enhance our understanding of sample data and help us make comparisons across samples. Box plots are a simple but powerful graphing tool that can be used in place of ...

These plots show the sorted values of the sample versus sorted values that would be expected if they were drawn from a normal distribution.

In this case the scatter plots for high school scores (HSM, HSS, and HSE) show a granular appearance that indicates the data are not continuous. These scatter plots clearly do not follow a bivariate ...