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1. By default, PROC FREQ creates a table of frequencies and percentages for which data set variables?

   	a.	character variables
   	b.	numeric variables
   	c.	both character and numeric variables
   	d.	none: variables must always be specified

2. Frequency distributions work best with variables that contain:

   	a.	continuous values
   	b.	numeric values
   	c.	categorical values
   	d.	unique values

3. The data set Finance.Loans includes the following variables. Which is unsuitable for frequency analysis?

   	a.	AccntNum
   	b.	Rate
   	c.	Region
   	d.	Term

4. Unless otherwise specified, in what order are values displayed in frequency distributions?

   	a.	by their appearance in the data set
   	b.	by their formatted values
   	c.	by their descending frequency count
   	d.	by their unformatted values

5. Which ORDER= option will force frequency distributions to be displayed by frequency count?

   	a.	order=data
   	b.	order=formatted
   	c.	order=freq
   	d.	order=internal

6. Which option was used to produce the table shown below?

   proc format;
      value htfmt low-64='Short'
                  65-70='Medium'
                  71-high='Tall';
   run;
   proc freq data=clinic.diabmed ... ;
      tables height;
      format height htfmt.;
   run;

   Height	Frequency	Percent	Cumulative Frequency	Cumulative Percent
   Medium	7	35.00	7	35.00
   Short	8	40.00	15	75.00
   Tall	5	25.00	20	100.00

   	a.	order=data
   	b.	order=formatted
   	c.	order=freq
   	d.	order=internal

7. Which PROC FREQ step produced this two-way table?

   Frequency Percent Row Pct Col Pct

   Table of Weight by Height Weight Height Total < 5'5" 5'5-10" > 5'10" < 140 2 10.00 100.00 28.57 0 0.00 0.00 0.00 0 0.00 0.00 0.00 2 10.00     140-180 5 25.00 50.00 71.43 5 25.00 50.00 62.50 0 0.00 0.00 0.00 10 50.00     > 180 0 0.00 0.00 0.00 3 15.00 37.50 37.50 5 25.00 62.50 100.00 8 40.00     Total 7 35.00 8 40.00 5 25.00 20 100.00

   	a.	proc freq data=clinic.diabmed; tables height weight; run;
   	b.	proc freq data=clinic.diabmed; tables weight height; run;
   	c.	proc freq data=clinic.diabmed; tables height*weight; run;
   	d.	proc freq data=clinic.diabmed; tables weight*height; run;

8. When three variables are joined in a TABLES statement, where does each appear in the layout of the tables?

   	a.	levels, columns, rows
   	b.	levels, rows, columns
   	c.	columns, rows, levels
   	d.	rows, columns, levels

9. Which PROC FREQ step produced this table?

   Sex	Weight	Height	Frequency	Percent	Cumulative Frequency	Cumulative Percent
   F	< 140	< 5'5"	2	10.00	2	10.00
   F	140-180	< 5'5"	5	25.00	7	35.00
   F	140-180	5'5-10"	4	20.00	11	55.00
   M	140-180	5'5-10"	1	5.00	12	60.00
   M	> 180	5'5-10"	3	15.00	15	75.00
   M	> 180	> 5'10"	5	25.00	20	100.00

   	a.	proc freq data=clinic.diabmed; tables sex weight height / list; run;
   	b.	proc freq data=clinic.diabmed; tables sex*weight*height / list; run;
   	c.	proc freq data=clinic.diabmed; tables sex weight height / nocol; run;
   	d.	proc freq data=clinic.diabmed; tables sex*weight*height / norow; run;

10. Which PROC FREQ step produced this table?

    Percent

    Table of Sex by Weight Sex Weight Total < 140 140-180 > 180 F 10.00 45.00 0.00 55.00 M 0.00 5.00 40.00 45.00 Total 2 10.00 10 50.00 8 40.00 20 100.00

    	a.	proc freq data=clinic.diabmed; tables sex weight / list; run;
    	b.	proc freq data=clinic.diabmed; tables sex*weight / nocol; run;
    	c.	proc freq data=clinic.diabmed; tables sex weight / norow nocol; run;
    	d.	proc freq data=clinic.diabmed; tables sex*weight / nofreq norow nocol; run;