Base SAS 9.1.3 Procedures Guide - Acsu Buffalo

192 Chapter 3. The UNIVARIATE Procedure
Kernel Density Estimates . . . . . . . . . . . . . . . . . . . . . . . . . . . 297
Construction of Quantile-Quantile and Probability Plots . . . . . . . . . . . 298
Interpretation of Quantile-Quantile and Probability Plots . . . . . . . . . . . 299
Distributions for Probability and Q-Q Plots . . . . . . . . . . . . . . . . . . 300
Estimating Shape Parameters Using Q-Q Plots . . . . . . . . . . . . . . . . 303
Estimating Location and Scale Parameters Using Q-Q Plots . . . . . . . . . 304
Estimating Percentiles Using Q-Q Plots . . . . . . . . . . . . . . . . . . . . 305
Input Data Sets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305
OUT= Output Data Set in the OUTPUT Statement . . . . . . . . . . . . . . 306
OUTHISTOGRAM= Output Data Set . . . . . . . . . . . . . . . . . . . . 308
Tables for Summary Statistics . . . . . . . . . . . . . . . . . . . . . . . . . 308
ODS Table Names . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309
ODS Tables for Fitted Distributions . . . . . . . . . . . . . . . . . . . . . . 310
Computational Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . 311
EXAMPLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 312
Example 3.1. Computing Descriptive Statistics for Multiple Variables . . . . 312
Example 3.2. Calculating Modes . . . . . . . . . . . . . . . . . . . . . . . 314
Example 3.3. Identifying Extreme Observations and Extreme Values . . . . 315
Example 3.4. Creating a Frequency Table . . . . . . . . . . . . . . . . . . . 317
Example 3.5. Creating Plots for Line Printer Output . . . . . . . . . . . . . 319
Example 3.6. Analyzing a Data Set With a FREQ Variable . . . . . . . . . . 322
Example 3.7. Saving Summary Statistics in an OUT= Output Data Set . . . 323
Example 3.8. Saving Percentiles in an Output Data Set . . . . . . . . . . . . 325
Example 3.9. Computing Confidence Limits for the Mean, Standard Deviation,
and Variance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326
Example 3.10. Computing Confidence Limits for Quantiles and Percentiles . 328
Example 3.11. Computing Robust Estimates . . . . . . . . . . . . . . . . . 329
Example 3.12. Testing for Location . . . . . . . . . . . . . . . . . . . . . . 331
Example 3.13. Performing a Sign Test Using Paired Data . . . . . . . . . . 332
Example 3.14. Creating a Histogram . . . . . . . . . . . . . . . . . . . . . 333
Example 3.15. Creating a One-Way Comparative Histogram . . . . . . . . . 334
Example 3.16. Creating a Two-Way Comparative Histogram . . . . . . . . . 337
Example 3.17. Adding Insets with Descriptive Statistics . . . . . . . . . . . 338
Example 3.18. Binning a Histogram . . . . . . . . . . . . . . . . . . . . . 340
Example 3.19. Adding a Normal Curve to a Histogram . . . . . . . . . . . . 343
Example 3.20. Adding Fitted Normal Curves to a Comparative Histogram . 345
Example 3.21. Fitting a Beta Curve . . . . . . . . . . . . . . . . . . . . . . 346
Example 3.22. Fitting Lognormal, Weibull, and Gamma Curves . . . . . . . 348
Example 3.23. Computing Kernel Density Estimates . . . . . . . . . . . . . 352
Example 3.24. Fitting a Three-Parameter Lognormal Curve . . . . . . . . . 354
Example 3.25. Annotating a Folded Normal Curve . . . . . . . . . . . . . . 355
Example 3.26. Creating Lognormal Probability Plots . . . . . . . . . . . . . 360
Example 3.27. Creating a Histogram to Display Lognormal Fit . . . . . . . 363
Example 3.28. Creating a Normal Quantile Plot . . . . . . . . . . . . . . . 365
Example 3.29. Adding a Distribution Reference Line . . . . . . . . . . . . 366
Example 3.30. Interpreting a Normal Quantile Plot . . . . . . . . . . . . . . 368
Example 3.31. Estimating Three Parameters from Lognormal Quantile Plots 369