4.1 Statistics - summary statistics and graphical displays for multiple columns of numeric data


This statlet computes numerical statistics and summary plots for one or more columns of numeric data. It is meant to provide a quick display of multiple columns. A more extensive selection of tables and plots for a single column of data can be found under Analyze - One Variable.

The tabs are:

Input

Stats

Plots


Example

The example data consists of 25 cases and 5 variables:

Each row shows information about the commuting time of a student at a local community college. It includes the travel time, the distance of the commute, how many traffic lights each student passes, whether or not he or she rides in a carpool, and the starting time of each student's first class in minutes after 8:00 AM.


Input

Specify one or more columns of numeric data:

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Stats

This tab computes various summary statistics for each column:

The summary statistics are selected by pressing the Options button.

Options button

The list contains three basic types of statistics:

  1. measures of central tendency - statistics which describe the center of the data, including the average (mean), the median, the mode, and the geometric mean.
  2. measures of spread - statistics which describe the dispersion of the data, including the variance, standard deviation, range, and interquartile range.
  3. measures of shape - statistics which compare the shape of the data to that of a normal distribution, including the skewness and kurtosis.

These statistics are also computed by the Analyze - One Variable statlet, where they are described in more detail.

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Plots

This tab creates a graphical display of the data columns:

The four plots shown are:

Row 1: box-and-whisker plots - five number summaries of each column, with a box covering the center half of the data and whiskers extending to the min and max. The center line shows the median, while the plus sign shows the mean.

Row 2: jittered scatterplots - the points are offset randomly in the vertical direction to show the individual data values.

Row 3: frequency histogram - bars of height proportional to the number of data values in selected classes.

Row 4: normal probability plot - samples from a normal distribution should fall along a straight line.

Each of these plots may also be created in the Analyze - One Variable statlet, where they are explained in detail.

Options button

Select which plots should be displayed:

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