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The sashelp. class data set has 19 observations.
Given the frequency information about the Age, shown below:
How many observations are written to output data set when the following code is submitted?
The code creates two datasets, preteen and teen, based on the age variable from the sashelp.class dataset. The if statement checks each observation, and if the age is less than 13, the observation is written to the preteen dataset; otherwise, the observation is written to the teen dataset.
From the provided frequency table, we can see that there are 7 observations with ages less than 13 (2 for age 11 and 5 for age 12), so the preteen dataset will have 7 observations. Since the sashelp.class dataset has a total of 19 observations, the remaining 12 observations (19 total - 7 preteen = 12 teen) will be written to the teen dataset.
Thus, the answer is: B. preteen will have 7 observations and teen will have 12 observations.
SAS documentation on the DATA step and IF-THEN/ELSE logic, SAS Institute.
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.
Which PROC PRINT step correctly displays only the first 10 observations in the data set?
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.
SAS 9.4 documentation on the obs= data set option.
How does SAS display missing values?
SAS handles missing values distinctively based on the data type of the variable. For numeric variables, SAS represents missing values with a period (.). For character variables, missing values are represented by a blank space. This handling is crucial for distinguishing between actual data entries and absent data, particularly in statistical calculations and data processing. Options B, C, and D incorrectly describe the representation of missing values in SAS, which does not use special characters like 'N', 'C', or '$' for this purpose.
Reference: SAS documentation on handling missing data, SAS Institute.
Given the input data set WORK.RUN:
Given the following DATA step:
What is the correct output data set WORK.RUN2?
A)
B)
C)
D)
In the given DATA step, the do weeks=1 to 3; loop iterates three times for each row in the original WORK.RUN dataset, incrementing the miles value by 5 for each iteration and outputting a row after each increment. However, no output; statement is given within the loop to create the extra rows, which means only the last iteration of the loop will be outputted for each original row. Hence, the miles value for each name will be incremented by 15 (5 miles for each of the 3 weeks).
The original data set WORK.RUN has:
John 16
Mary 20
After the DATA step, it should be:
John 31
Mary 35
Each name appears only once because without an explicit output; statement inside the loop, only the final iteration is outputted. The variable weeks is not retained in the output dataset, as it is not used outside the loop and no output statement is used inside the loop. Thus, option D is correct.
SAS documentation on DATA step processing, SAS Institute.
