Now let's look at how the mile times vary with respect to whether or not someone is an athlete. The fastest mile time was about 5 minutes the slowest was about 14 minutes. The average mile time overall was 8 minutes, 9 seconds, with a standard deviation of about 2 minutes. The Compare Means procedure will report two tables: the Case Processing Summary, which contain information about the number of valid cases that the statistics are based on, and the Report table, which contains the descriptive statistics themselves. You can also drag the items within the Cell Statistics box to change the order that the statistics are displayed in the output. Click and drag Minimum and Maximum to the Cell Statistics box. Mean, Number of Cases, and Standard Deviation are included by default. Click Options to open the Means: Options window, where you can select what statistics you want to see.Double-click on variable MileMinDur to move it to the Dependent List area.Open Compare Means ( Analyze > Compare Means > Means).Running the Procedure Using the Compare Means Dialog Window The Statistics for First Layer area includes options that will perform one-way ANOVAВ and compute linear fit statistics (R, R 2, Eta, and Eta Squared), respectively.ДЇirst, we will summarize the mile times without the grouping variables using the mean, standard deviation, sample size, minimum, and maximum. You can also click and drag items in the Cell Statistics column to change the order they appear in the output. You can add additional statistics by clicking and dragging them from the Statistics column to the Cell Statistics column. By default, the mean, number of cases, standard deviation will be computed. The Cell Statistics column on the right are the statistics that will be produced in the output. Summary statistics available include: mean, number of cases, standard deviation, median, grouped median, standard error of mean, sum, minimum, maximum, range, first, last, variance, kurtosis, standard error of kurtosis, skewness, standard error of skewness, harmonic mean, geometric mean, percent of total sum, and percent of total N. The Statistics column on the left shows what statistics are available. You can specify several layers for a single table by clicking Next and then entering other categorical variables this will produce a table that looks like a hybrid of a crosstab and the Descriptives procedure.Д¬ Options: Opens the Means: Options window, where you can specify the summary statistics to produce, and what order they should be listed in. Specifying multiple values in the 'Layer 1 of 1' box will produce several tables, each with one layer variable. You must enter at least one variable in this box before you can run the Compare Means procedure.Д« Independent List: The categorical variable(s) that will be used to subset the dependent variables. To open the Compare Means procedure, click Analyze > Compare Means > Means.ДЄ Dependent List: The continuous numeric variables to be analyzed. The Compare Means procedure is useful when you want to summarize and compare differences in descriptive statistics across one or more factors, or categorical variables.

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