- Which of these procedures produces output that is most useful for detecting duplicate values?
- Which of these programs is most useful for determining the exact observation that contains a numeric variable with an extreme value?
- A PROC FREQ analysis identified invalid and missing values in a data set. Which of these procedures will display the observations that contain invalid or missing values?
- Which PROC FREQ step creates the output shown here?
Number of Variable Levels |
Variable |
Label |
Levels |
Order_Type |
Order Type |
3 |
Order Type |
Order _Type |
Frequency |
Percent |
1 |
13 |
59.09 |
2 |
2 |
9.09 |
3 |
7 |
31.82 |
- This PROC MEANS step creates all of the statistics listed below.
proc means data=orion.sales;
run;
- minimum and maximum
- the total number of observations that PROC MEANS processes for each subgroup (N Obs)
- mean and standard deviation
- the number of nonmissing values (N)
- What must be added to this PROC MEANS statement to produce this output?
proc means data=orion.customer_dim ________________;
var Customer_Age;
class Customer_Gender;
where Customer_Country ne 'US';
run;
The MEANS Procedure
Analysis Variable: Customer_Age
Customer_Age
|
Customer
Gender
|
Range |
Mean |
F |
54.0 |
35.1 |
M |
54.0 |
47.0 |
- Which option lets you specify the number of extreme observations displayed by PROC UNIVARIATE?
- Which destination creates a file that keeps the style information and opens in multiple worksheets in an Excel workbook?
- Which statement about style definitions is true?
- Suppose you submit the program shown below. What happens if you then submit a simple PROC PRINT step?
ods _all_ close;
ods csvall file='c:\ctry.csv';
proc freq data=orion.sales;
tables Country;
run;
ods csvall close;
|