ABSTRACT
This chapter focuses on the univariate normal distribution, which focuses on a single variable and whether the data in that variable are normally distributed. Although there are various data transformation or normalization techniques available when the overall distribution is not normal, it focuses on data that are largely normally distributed, with the exception of a number of outliers, which can be removed using various techniques. The chapter describes and assesses numeric data distribution in a single variable. It focuses on the mean, median, mode, and skewness statistics. The mean is the average value of the data points comprising a variable. The median is the middle value of the cases ordered from smallest to largest. The mode is the value that appears most frequently in the variable. Skewness indicates that there is an imbalance of the data values below or above the mean, which affects the symmetry in the distribution.
