Overview for Graphical Summary

Use Graphical Summary to summarize numeric data with a variety of statistics such as the sample size, mean, median, and standard deviation. You can also describe the distribution of the data with graphs, conduct an Anderson-Darling normality test, and obtain confidence intervals for the mean, standard deviation, and median.

For example, an analyst wants to compare the sales price of a sample of houses in two different towns. The analyst can compare the means, standard deviations, and the minimum and maximum sales prices for each town. The analyst can also create a histogram, individual value plot, and boxplot of the data, to determine whether the data follow a normal distribution, and obtain confidence intervals for the median sales price for the two towns.