The default length of numeric variables in SAS data sets is 8 bytes. In SAS, the default byte size of a numeric variable is 8 bytes. This allows for a significant amount of precision and a wide range of numeric values to be stored within a numeric variable, regardless of the actual number of digits in the number being stored. Reference: SAS documentation on numeric variables, SAS Institute.

To rename a variable when reading a dataset in SAS, you use the rename= option inside the

parentheses following the dataset's name in the set statement. The correct syntax for renaming the

variable 'Name' to 'StudentName' is: rename=(oldname=newname). Therefore, the correct option is

A, which correctly places the old variable name 'Name' first, followed by an equal sign, and then the

new variable name 'StudentName'. The parentheses enclose the rename operation, and it is

correctly nested within the set statement.

Reference:

SAS documentation on the RENAME= data set option, SAS Institute.

In SAS, footnotes are set using the footnote statement and they will appear on all subsequent

output until they are either changed or cleared. Based on the second image provided with the SAS

code, the footnote for the second PROC PRINT report is set immediately before it runs.

The code sets footnote1 as 'Created by HR' and footnote2 as 'Confidential' initially. However, before

the second PROC PRINT step, footnote2 is redefined as 'Draft - Do Not Distribute'. Since footnote1 is

not redefined or cleared, it is no longer in effect for the second report.

Therefore, the only footnote that appears for the second PROC PRINT report is what is defined for

footnote2 at that point in the code, which is 'Draft – Do Not Distribute'. That's why the correct

answer is D.

Reference:

SAS 9.4 documentation for the FOOTNOTE statement: SAS Help Center: FOOTNOTE Statement

The PROC MEANS statement is used to compute descriptive statistics of data in SAS. Option A is the

correct code to produce the report shown in the first image because of the following reasons:

data=sashelp.shoes specifies the dataset on which the procedure is to be performed.

sum mean specifies that the summary statistics should include the sum and mean of the variables.

var Sales; specifies that the variable Sales is the analysis variable for which the summary statistics are

to be computed.

class Product; specifies that the procedure should classify results by unique values of the Product

variable. This will produce separate statistics for each type of product, which aligns with the structure

of the report provided in the image.

Options B, C, and D are incorrect for the following reasons:

B uses group instead of class, and group is not a valid statement in the context of PROC MEANS. Also,

var Sale; is incorrect as the variable name is Sales.

C includes nobe; which is not a valid SAS option and seems to be a typo. The by statement is used for

sorting data, not for classifying groups as class does.

D incorrectly uses sum Salad; and mean Sales; as separate statements and has an invalid use of by

product; which is not needed here.

Reference:

SAS 9.4 documentation for the PROC MEANS statement: SAS Help Center: PROC MEANS

Option A is correct. The (obs=10) option is used as a data set option within the proc print statement

to limit the number of observations processed to the first 10. The syntax should be placed

immediately after the data set name within parentheses. Options B, C, and D are incorrect because

they either use the wrong option or place the obs option incorrectly outside of the parentheses or

with incorrect syntax.

Reference:

SAS 9.4 documentation on the obs= data set option.