Descriptive statistics: What do all of those numbers mean interms of the problem. Organizing and summarizing data is calleddescriptive statistics. Two ways to summarize data are by graphingand by using numbers (for example, finding an average). Astatistical graph is a tool that helps you learn about the shape ordistribution of a sample or a population. Our data is examining thedistance (miles) between twenty retail stores, and a largedistribution center The Mean: (84.05 miles) shows the arithmeticmean of the sample data. Standard E: (7.71822 miles) shows thestandard error of the data set, which is the difference between thepredicted value and the actual value. Median: (86.5 miles) showsthe middle value in the data set, which is the value that separatesthe largest half of the values from the smallest half of the valuesMode: (96 miles) shows the most common value in the data set.Standard [: (34.51693 miles) shows the sample standard deviationmeasure for the data set. Sample Va: (1191.418 miles) shows thesample variance for the data set, the squared standard deviation.Kurtosis: (-0.48156 miles) shows the kurtosis of the distribution.Skewness: (0.210738 miles) shows the skewness of the data set’sdistribution. Range: (121 miles) shows the difference between thelargest and smallest values in the data set. Minimum: ( 29 miles)shows the smallest value in the data set. Maximum: (150 miles)shows the largest value in the data set. Sum (1681 miles) adds allthe values in the data set together to calculate the sum. Count (20miles) counts the number of values in a data set.