1. Pagano and Gauvreau (2nd Edition) Chapter 2: Problems 2, 9, 10 and 14
Review Exercises
Pagano and Gauvreau (2nd Edition)
Chapter 2: Problems
2, 9, 10 and 14

2. Review Exercise 2.5. #2. How do ordinal data differ from nominal data?
The categories have an order.

3. Do you agree? (see Excel file: Chapter2-problems-pagano.xls
Review Exercise #9. The table below categorized 10,614,000 office visits in the US by duration.
Duration (min)
# Visits (1000s)
390
1-5
227
6-10
1023
11-15
3390
16-30
4431
31-60
968
61+
185
Total
10,614
STATEMENT: Office visits are most often between 16 and 30 minutes long.
Do you agree? (see Excel file: Chapter2-problems-pagano.xls

4. Review Exercise 2.5. #9. Evaluate Rate of visits
Duration (min)
Width
# Visits (1000s)
Rate of Visit (per min) 1
390
1-5 5
227
6-10
1023
11-15
3390
16-30 15
4431
31-60 30
968
61+ ?
185
Total
10,614
Are office visits most often between 16 and 30 minutes long?
No- based on rates, min has highest rate of visits. (see Excel)

5. Review Exercise 2.5. #10. Construct a Bar Chart (ejs10b540p03.sas)
DATA d;
INPUT Year cases;
LABEL cases="Number of Cases";
CARDS;
etc;
RUN;
PROC GCHART ;
VBAR year / DISCRETE SUMVAR=cases;
TITLE1 "Figures 1. Number of Pediatric AIDS cases reported in the US by Year";
FOOTNOTE1 "Source: &prg";

6. Review Exercise 2.5. #14. Construct a Percent Freq Polygon (ejs10b540p04.sas)
DATA d;
INPUT endpoint midpoint yr1979 yr1987;
LABEL endpoint="Blood Lead (ug/dl):ENDPOINT"
midpoint="Blood Lead (ug/dl):MIDPOINT"
yr1979="Percent";
CARDS;
etc ;
RUN;
SYMBOL INTERPOL=JOIN;
PROC GPLOT;
PLOT yr1979*midpoint yr1987*midpoint /OVERLAY ;
TITLE1 "Figure 1. Initial Plot of Percent with Blood Lead for Canadian Workers by Year";
FOOTNOTE1 "Source: &prg";

7. Review Exercise 2.5. #14. Construct a Percent Freq Polygon (ejs10b540p04.sas)
DATA d1;
INPUT endpoint midpoint yr1979 yr1987;
CARDS;
etc ;
RUN;
SYMBOL INTERPOL=JOIN;
PROC GPLOT;
PLOT yr1979*midpoint yr1987*midpoint /OVERLAY ;
TITLE1 "Figure 2. Percent with Blood Lead for Canadian Workers by Year";
FOOTNOTE1 "Source: &prg";

8. DATA d2; SET d1; p1979=yr1979; p1987=yr1987; IF endpoint=20 THEN DO;
Review Exercise #14. Construct a Percent Freq Polygon (ejs10b540p04.sas) Express as rates (per 10 years)
DATA d2;
SET d1;
p1979=yr1979;
p1987=yr1987;
IF endpoint=20 THEN DO;
p1979=yr1979/2;
p1987=yr1987/2;
END;
RUN;

9. DATA d2; SET d1; p1979=yr1979; p1987=yr1987; IF endpoint=20 THEN DO;
Review Exercise #14. Construct a Percent Freq Polygon (ejs10b540p04.sas) Express as rates (per 10 years)
DATA d2;
SET d1;
p1979=yr1979;
p1987=yr1987;
IF endpoint=20 THEN DO;
p1979=yr1979/2;
p1987=yr1987/2;
END;
RUN;

10. Review Exercise 2.5. #14. Construct a Cum Percent Distribution (ejs10b540p04.sas)
*******************************************;
*** Create cumulative percents ;
DATA d2;
SET d1;
RETAIN cyr1979 cyr1987;
IF _N_=1 THEN DO;
cyr1979=0;
cyr1987=0;
END;
cyr1979=cyr1979+yr1979;
cyr1987=cyr1987+yr1987;
LABEL cyr1979="Cum Percent 1979"
cyr1987="Cum Percent 1987";
RUN;
SYMBOL INTERPOL=JOIN;
LEGEND1 label=none value=(h=2 font=swiss '1979' '1987')
POSITION=(bottom right inside) mode=protect cborder=black;
PROC GPLOT;
PLOT cyr1979*endpoint cyr1987*endpoint /OVERLAY LEGEND=Legend1;
TITLE1 "Figure 4. Cumulative Relative Frequency of Percent with Blood Lead for Canadian Workers by Year";
FOOTNOTE1 "Source: &prg";