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Using JMP - SAS

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Chapter 8 Summarize Data 239<br />

Summarize Columns<br />

• Mean Is the arithmetic mean of a column’s values. It is the sum of nonmissing values (and if defined,<br />

multiplied by the weight variable) divided by the Sum Wgt.<br />

• Std Dev Is the sample standard deviation, computed for the nonmissing values. It is the square root of<br />

the sample variance.<br />

• Min Is the smallest nonmissing value in a column.<br />

• Max Is the largest nonmissing value in a column.<br />

• Range Is the difference between Max and Min.<br />

• % of Total Is the percent of the total count for each group. Or, if you have so specified, the percent of<br />

nonmissing values of the column to the total count for each group.<br />

• N Missing Is the number of missing values.<br />

• Sum Is the sum of all values in a column.<br />

• Sum Wgt Is the sum of all weight values in a column. (See “Assign Column Properties” on page 151 in<br />

the “Set Column Properties” chapter.) Or, if no column is assigned the weight role, Sum Wgt is the<br />

total number of nonmissing values.<br />

• Variance Is the sample variance, computed for the nonmissing values. It is the sum of squared<br />

deviations from the mean, divided by the number of nonmissing values minus one.<br />

• Std Err Is the standard error of the mean. It is the standard deviation divided by the square root of N.<br />

If a column is assigned the role of weight, then the denominator is the square root of the sum of the<br />

weights.<br />

• CV (Coefficient of Variation) Is the measure of dispersion, which is the standard deviation divided by<br />

the mean multiplied by one hundred.<br />

• Median Is the 50th percentile, which is the value where half the data are below and half are above or<br />

equal to the 50th quantile (median).<br />

• Quantiles Gives the value at which the specific percentage of the argument is less than or equal to. For<br />

example, 75% of the data is less than the 75th quantile. The summary window has an edit box for<br />

entering the quantile percentage that you want.<br />

Example of Creating a Summary Table<br />

Suppose a researcher is working with Companies.jmp, which groups companies by Type and Size. Follow<br />

along with this next example by opening Companies.jmp from the Sample Data folder that was installed<br />

when you installed <strong>JMP</strong>.<br />

Suppose the researcher wants to:<br />

• Create a table that shows the average profit per employee for small, medium, and big computer and<br />

pharmaceutical companies. In other words, create a table that contains a row for each size company and<br />

a column for the mean profit per employee of each type of company.<br />

• Create it so the cells hold the mean for the subgroup (defined by the intersection of the row and<br />

column).<br />

1. Open the Companies.jmp sample data table.<br />

2. Select Tables > Summary.

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