Selecting Statistics
The
default statistics that the MEANS procedure produces are not always
the ones that you need. You might prefer to limit output to the mean
of the values. Or you might need to compute a different statistic,
such as the median or range of the values.
To specify statistics,
include statistic keywords as options in the PROC MEANS statement.
When you specify a statistic in the PROC MEANS statement, default
statistics are not produced. For example, to determine the median
and range of Perm.Survey numeric values, add the MEDIAN and RANGE
keywords as options.
proc means data=perm.survey median range;
run;Figure 9.2 MEANS Procedure Output Displaying Median and Range
Use
the following keywords with PROC MEANS to compute statistics:
|
Keyword
|
Description
|
|---|---|
|
CLM
|
Two-sided confidence
limit for the mean
|
|
CSS
|
Corrected sum of squares
|
|
CV
|
Coefficient of variation
|
|
KURTOSIS
|
Kurtosis
|
|
LCLM
|
One-sided confidence
limit below the mean
|
|
MAX
|
Maximum value
|
|
MEAN
|
Average
|
|
MIN
|
Minimum value
|
|
MODE
|
Value that occurs most
frequently
|
|
N
|
Number of observations
with nonmissing values
|
|
NMISS
|
Number of observations
with missing values
|
|
RANGE
|
Range
|
|
SKEWNESS
|
Skewness
|
|
STDDEV / 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
|
|
Keyword
|
Description
|
|---|---|
|
MEDIAN / P50
|
Median or 50th percentile
|
|
P1
|
1st percentile
|
|
P5
|
5th percentile
|
|
P10
|
10th percentile
|
|
Q1 / P25
|
Lower quartile or 25th
percentile
|
|
Q3 / P75
|
Upper quartile or 75th
percentile
|
|
P90
|
90th percentile
|
|
P95
|
95th percentile
|
|
P99
|
99th percentile
|
|
QRANGE
|
Difference between upper
and lower interquartile range: Q3-Q1
|
|
Keyword
|
Description
|
|---|---|
|
PROBT
|
Probability of a greater
absolute value for the t value
|
|
T
|
Student's t statistic
for testing the hypothesis that the population mean is 0
|
Last updated: January 10, 2018
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