StatCrunch logo (home)

< StatCrunch Examples
Computing summary statistics for rows
This tutorial covers the steps for computing summary statistics for rows of data in StatCrunch. To begin, load the Exam Scores Transposed data set, which will be used throughout this tutorial. This data set contains only one row of data containing 23 exam grades for an introductory Statistics course. The column headers contain numbers associated with each student. To compute summary statistics using columns of data, see Computing summary statistics for columns.
Computing row statistics
To compute summary statistics for the scores which are laid out in the first row, choose the Stat > Summary Stats > Rows menu option. Select all of the columns listed to include the score for all 23 students and click Compute!. By default, StatCrunch produces a table containing the following eleven summary statistics for the data: sample size, mean, variance, standard deviation, standard error, median, range, minimum, maximum, first quartile, and third quartile.
Customizing statistics displayed
Under the Statistics option, StatCrunch allows for the selection of statistics to be computed. There are a number of statistics such as the interquartile range, kurtosis and skewness which can be added to the default listing or the default listing can be trimmed to a smaller set of statistics. For example, in the window containing the summary statistics output above, choose Options > Edit to reopen the dialog window. Select n, Mean, and Std. dev. and click Compute!. The resulting summary statistics output shown below contains only the statistics selected.

Always Learning