Which program assigns the library reference exlib to the CLASS. XLSX workbook and displays the CLASS_TEST worksheet?
The correct answer is option D, which uses the LIBNAME statement correctly to assign a library reference to an Excel workbook and specifies the correct syntax for accessing a worksheet within that workbook. The syntax for this option is:
libname exlib xlsx 'c:\class.xlsx';
proc print data=exlib.class_test;
run;
This code snippet assigns the library reference exlib to the Excel workbook located at c:\class.xlsx using the XLSX engine. The PROC PRINT step is then used to display the contents of the worksheet named CLASS_TEST within that workbook. The library reference exlib combined with the dataset name class_test (following the .) correctly specifies the worksheet to be printed. The other options (A, B, C) are incorrect due to various reasons: incorrect syntax for the LIBNAME statement, incorrect specification of the dataset to be printed, and incorrect path specifications. Reference: SAS 9.4 Guide to Software Updates.
Which PROC MEANS step generates the report below?

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 PROC SORT option allows you to create an output data set of the sorted data?
In SAS, the PROC SORT procedure is used to sort data. To save the sorted data into a new dataset, the OUT= option is used in the PROC SORT statement. This option allows you to specify the name of the output dataset that will contain the sorted data.
Here is how it's used:
proc sort data=original out=sorted; by variable; run; will sort the dataset original by variable and create a new dataset named sorted containing the sorted data.
Option A, Data=, is not valid for the PROC SORT procedure. Option B, SORTOUT=, is a common misconception but is not correct; OUT= is the right option. Option C, OUTPUT=, is not used within PROC SORT; it is used in other procedures such as PROC TABULATE and PROC SUMMARY for output datasets.
SAS 9.4 documentation for the PROC SORT statement: SAS Help Center: PROC SORT
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?
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 PROC PRINT statement controls the order of the variables displayed in the report?
In PROC PRINT, the VAR statement is used to control the order of the variables displayed in the report. You can list the variables in the order you want them to appear. The KEEP statement can control which variables appear, but not their order. DROP and SELECT are not valid statements within PROC PRINT for controlling the order of variables.
Reference
SAS documentation for PROC PRINT.
Edward Young
17 days agoCharles Flores
29 days agoMaria Davis
1 month agoLinda Lee
2 months agoOlivia Edwards
1 month agoSandra Johnson
1 month agoMelissa Lewis
1 month agoDonald White
2 months agoNathan Anderson
2 months agoLizbeth
2 months agoTesha
3 months agoMarnie
3 months agoFiliberto
3 months agoShelba
3 months agoLeanora
4 months agoRonald
4 months agoJeannetta
4 months agoLawrence
5 months agoCarin
5 months agoPok
5 months agoDaniel
5 months agoLisbeth
6 months agoShantell
6 months agoKizzy
6 months agoAdelina
6 months agoWilda
7 months agoLeonora
7 months agoAhmed
7 months agoJudy
7 months agoKandis
8 months agoSunny
8 months agoTawny
8 months agoKayleigh
8 months agoLevi
9 months agoCaprice
9 months agoDean
9 months agoVeronica
9 months agoBarabara
9 months agoVallie
11 months agoValentin
12 months agoBrittani
1 year agoRegenia
1 year agoZita
1 year agoCarissa
1 year agoPilar
1 year agoPage
1 year agoStephaine
1 year agoTasia
1 year agoZona
1 year agoGraciela
1 year agoStefania
1 year agoJina
1 year agoShawna
1 year agoKimi
1 year agoBronwyn
1 year agoAdelina
1 year agoTambra
1 year agoAnglea
1 year agoLavera
1 year agoArlette
1 year agoJules
2 years agoSherell
2 years agoLigia
2 years agoLouvenia
2 years agoRoosevelt
2 years agoVannessa
2 years agoFlorinda
2 years agoLemuel
2 years agoBeatriz
2 years agoCathern
2 years agoLindsey
2 years agoSarah
2 years agoNobuko
2 years agoMaryann
2 years agoTwana
2 years agoJolanda
2 years agoNina
2 years agoGladys
2 years agoDalene
2 years agoZita
2 years agoTalia
2 years agoPilar
2 years ago