By SAS Publishing
Presents entire documentation of the bottom SAS statistical systems (CORR, FREQ, and UNIVARIATE), together with introductory examples, syntax, computational information, and complex examples. New for SAS 9.2 is information regarding utilizing ODS Statistical pics.
Read or Download Base SAS 9.2 Procedures Guide: Statistical Procedures PDF
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Extra info for Base SAS 9.2 Procedures Guide: Statistical Procedures
0001 Testing for Equality of Two Population Correlations You can use the following statements to test for equality of two population correlations, Here, the null hypothesis H0 W 1 D 2 is tested against the alternative H1 W 1 ¤ 2 . 1 and 2. ods output FisherPearsonCorr=SimCorr; title ’Testing Equality of Population Correlations’; proc corr data=Sim (where=(Batch=1 or Batch=2)) fisher; var X Y; by Batch; run; The ODS OUTPUT statement saves the “FisherPearsonCorr” table into an output data set in the CORR procedure.
00000 Since the data set contains only one species of fish, all the variables are highly correlated. 3. The Cronbach’s coefficient alpha is a lower bound for the reliability coefficient for the raw variables and the standardized variables. Positive correlation is needed for the alpha coefficient because variables measure a common entity. 6: Saving Correlations in an Output Data Set ✦ 51 Because the variances of some variables vary widely, you should use the standardized score to estimate reliability.
The partial variance and partial standard deviation for the variables in the VAR statement are also displayed. 27047 When you specify a PARTIAL statement, observations with missing values are excluded from the analysis. 2 displays partial correlations for the variables in the VAR statement. 2). 1558. 3) a scatter plot of the residuals for the variables Height and Width after controlling for the effect of variables Length3 and Weight. 30 suboption requests 80% and 70% prediction ellipses, respectively.