# 11.2 - Specifying Statistics

11.2 - Specifying Statistics

The default statistics that the MEANS procedure produces — N, mean, standard deviation, minimum, and maximum — might not be the ones that you actually need. You might prefer to limit your output to just the mean and standard deviation of the values. Or you might want to compute a completely different statistic, such as the median or range of values.

In order to tell SAS to calculate summary statistics other than those calculated by default, simply place the desired statistics keywords as options in the PROC MEANS statement.

## Example 11.6

The following program tells SAS to calculate and display the sum, range and median of the red blood cell counts appearing in the icdb.hem2 data set:

PROC MEANS data=icdb.hem2 fw=10 maxdec=2 sum range median;
var rbc;
RUN;
##### The MEANS Procedure
###### Analysis variable: rbc
Sum Range Median
2816.23 2.83 4.41

Launch and run the SAS program, and review the output to convince yourself that the report is generated as described. You might want to note, in particular, that when you specify a statistic in the PROC MEANS statement, the default statistics are not produced. Incidentally, you can generate the exact same report using the SUMMARY procedure, providing you again add the PRINT option to the end of the PROC statement.

The following keywords can be used with the MEANS and SUMMARY procedures to compute statistics:

##### Descriptive Statistics
 Keyword Description CLM Two-sided confidence limit for the mean CSS Corrected sum of squares CV Coefficient of variation KURT Kurtosis LCLM One-sided confidence limit below the mean MAX Maximum value MEAN Average value MIN Minimum value N No. of observations with non-missing values NMISS No. of observations with missing values RANGE Range SKEW Skewness STD Standard deviation STDERR Standard error of the mean SUM Sum SUMWGT Sum of the Weight variable values UCLM One-sided confidence limit above the mean USS Uncorrected sum of squares VAR Variance
##### Quantile Statistics
 Keyword Description MEDIAN or P50 Median or 50th percentile P1 1st percentile P5 5th percentile P10 10th percentile Q1 or P25 Lower quartile or 25th percentile Q3 or P75 Upper quartile or 75th percentile P90 90th percentile P95 95th percentile P99 99th percentile QRANGE Difference between upper and lower quartiles: Q3-Q1
##### Hypothesis Testing
 Keyword Description PROBT Probability of a greater absolute value for the t value T Student's t for testing that the population mean is 0

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