Which PROC SORT program creates the NAMES data set shown below?
Answer : A
The PROC SORT step in SAS is used to sort data sets by one or more variables. The syntax for the proc sort step requires the by statement to specify the variable(s) by which to sort the data. The correct answer is option A:
proc sort data=Names;
by Name;
run;
This sorts the data set by the variable 'Name' in alphabetical order, which matches the sorted NAMES data set shown in the question. Option B uses orderby, which is not a valid SAS statement. Option C sorts by 'Age', which would not give the same result as shown in the question. Option D also incorrectly uses orderby.
The correct syntax for generating the mean and standard deviation for specified variables using PROC MEANS is shown in option A. The PROC MEANS statement specifies the dataset to analyze (data=class) and includes the options (mean std) directly in the PROC statement. The VAR statement then lists the variables for which the statistics should be calculated (Height and Weight). The other options listed in B, C, and D are not correct syntax for PROC MEANS.
Which statement is true regarding the XLSX engine in the LIBNAME statement?
Answer : B
The correct answer is B: The XLSX engine can read and write data in Microsoft Excel workbooks. This functionality allows SAS users to directly access and manipulate data stored in Excel files using the .xlsx extension. The XLSX engine does not automatically concatenate individual worksheets; instead, each worksheet is accessed separately. Also, it specifically works with files that have the .xlsx extension, not the older .xls format, thus eliminating option C. Option D is incorrect because the XLSX engine requires the correct file extension (.xlsx) in the LIBNAME statement to properly identify and interact with Excel files.
Reference:
SAS documentation on LIBNAME statement for XLSX engine: SAS Support: LIBNAME Statement
The data set SASHELP. CARS contains information on different vehicles. How do you correctly write the observations with Type of 'SUV' to the suv data set and Type
of 'Sedan' to the sedans data set?
Answer : B
The correct syntax for creating two separate data sets based on a condition in SAS involves using a single DATA step with multiple data set names followed by a SET statement and conditional OUTPUT statements. Here's a breakdown of why option B is the correct answer:
data SUV Sedans;
set sashelp.cars;
if Type = 'SUV' then output SUV;
else if Type = 'Sedan' then output Sedans;
run;
This option correctly uses a single DATA step to declare two data sets (SUV and Sedans). It reads from the sashelp.cars data set and uses conditional statements to output observations to the respective data sets based on the value of the Type variable. The output statement is used to explicitly direct observations to the specified data set.
Option A: The syntax data=SUV data=Sedans; is incorrect. The correct syntax to create multiple data sets in a DATA step does not include equal signs (=).
Option C: The syntax within the conditional statements is incorrect (if Type = SUV and if Type = Sedan). The values for Type should be enclosed in quotes to specify that they are strings.
Option D: The syntax data= (SUV Sedans) ; is incorrect. The correct method to declare multiple data sets in a DATA step does not use parentheses or an equal sign.
Reference:
The correctness of option B is based on standard SAS programming practices for conditional data manipulation within a DATA step. This approach is commonly documented in SAS programming resources such as the SAS 9.4 documentation and various SAS programming guides. The use of the output statement for directing data to specific datasets based on conditions is a fundamental technique in efficient data handling in SAS.
Which variable in the Program Data Vector represents the number of times the Data step has iterated?
Answer : B
https://v8doc.sas.com/sashtml/lrcon/z0961108.htm
In SAS, the automatic variable _N_ represents the number of times the DATA step has iterated. It starts at 1 and increments by 1 each time the DATA step loops back to the top. This variable can be used within the DATA step to monitor the iteration count but is not written to the output data set. The other options, A, C, and D, are not automatically created variables that track iterations in the DATA step.
SAS documentation on automatic variables.
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