Basic Analysis and Graphing - SAS

Chapter 2 Performing Univariate Analysis 53
Options for Continuous Variables
Table 2.12 Descriptions of Save Commands (Continued)
Command
Level Midpoints
Ranks
Ranks Averaged
Column Added
to Data Table
Midpoint
Ranked
RankAvgd
Description
The midpoint value for each observation is computed by
adding half the level width to the lower level bound.
Provides a ranking for each of the corresponding column’s
values starting at 1. Duplicate response values are assigned
consecutive ranks in order of their occurrence in the data
table.
If a value is unique, then the averaged rank is the same as the
rank. If a value occurs k times, the average rank is computed
as the sum of the value’s ranks divided by k.
Prob Scores Prob For N nonmissing scores, the probability score of a value is
computed as the averaged rank of that value divided by
N + 1. This column is similar to the empirical cumulative
distribution function.
Normal Quantiles
N-Quantile
Saves the Normal quantiles to the data table. See “Statistical
Details for the Normal Quantile Plot” on page 70.
Standardized Std Saves standardized values to the data table. See “Statistical
Details for Saving Standardized Data” on page 71.
Centered
Centered
Saves values for centering on zero.
Spec Limits (none) Stores the specification limits applied in a capability analysis
as a column property of the corresponding column in the
current data table. Automatically retrieves and displays the
specification limits when you repeat the capability analysis.
Script to Log (none) Prints the script to the log window. Run the script to recreate
the analysis.
Prediction Intervals
Prediction intervals concern a single observation, or the mean and standard deviation of the next randomly
selected sample. The calculations assume that the given sample is selected randomly from a normal
distribution. Select one-sided or two-sided prediction intervals.
When you select the Prediction Interval option for a variable, the Prediction Intervals window appears. Use
the window to specify the confidence level, the number of future samples, and either a one-sided or
two-sided limit.