Table of content RANK NAME COMPANY COMPENSATION 1 Sharilyn G

Table of content;

RANK NAME COMPANY COMPENSATION

1 Sharilyn Gasaway Alltel 38.6

2 Safra Catz Oracle 34.1

3 Diane Greene VMware 16.4

4 Kathleen Quirk Freeport McMoRan Copper & Gold 16.3

5 Trudy Sullivan Talbot\'s 15.7

6 Angela Braly WellPoint 14.9

7 Ann Livermore Hewlett-Packard 14.8

8 Indra Nooyi PepsiCo 14.7

9 Anne Mulcahy Xerox 12.8

10 Sharon Fay AllianceBernstein Holding 12.4

11 Meg Whitman eBay 11.9

12 Barbara Novick BlackRock 11.8

13 Irene Rosenfeld Kraft Foods 11.6

14 Marilyn Fedak AllianceBernstein Holding 11.5

15 Andrea Jung Avon Products 11.1

16 Sallie Krawcheck Citigroup 11.0

17 Pamela Patsley First Data 10.5

18 Wellington Denahan-Norris Annaly Capital Management 10.1

19 Sue Decker Yahoo 10.1

20 Katherine Harless Idearc 10.0

21 Barbara Desoer Bank of America 9.6

22 Christine Poon Johnson & Johnson 9.4

23 Brenda Barnes Sara Lee 9.1

24 Deborah McWhinney Charles Schwab 8.9

25 Carrie Cox Schering-Plough 8.9

a. For each of the four columns of the table, classify the data as either qualitative or quantitative; if quantitative, further classify it as discrete or continuous. Also iden- tify the variable under consideration in each case.

b. Use cutpoint grouping to organize the compensation data into frequency and relative-frequency distributions. Use a class width of 5 and a first cutpoint of 5.

c. Construct frequency and relative-frequency histograms of the compensation data based on your grouping in part (b).

d. Identify and interpret the shape of your histograms in part (c).

e. Truncate each compensation to a whole number (i.e., find the greatest integer in each compensation), and then obtain a stem-and-leaf diagram of the resulting data, us- ing two lines per stem.

f. Round each compensation to a whole number, and then obtain a stem-and-leaf diagram of the resulting data, us- ing two lines per stem.

g. Which of the stem-and-leaf diagrams in parts (e) and (f ) corresponds to the frequency histogram in part (c)? Can you explain why? h. Round each compensation to a whole number, and then obtain a dotplot of the resulting data.

Solution