/* Sample SAS code and data for problem 2.84 */

DATA womenpow;

INPUT number 1-4 name $ 5-23 age 24-26 company $ 27-47 postitle $ 48-60;

cards;
1   Carly Fiorina      48 Hewlet-Packard       CEO
2   Betsy Holden       46 Kraft Foods          CEO
3   Meg Whitman        46 eBay                 CEO
4   Indra Nooyi        46 PepsiCo              CFO
5   Andrea Jung        44 Avon Products        CEO
6   Anne Mulcahy       49 Xerox                CEO
7   Karen Katen        53 Pfizer               EVP
8   Pat Woertz         49 ChevronTexaco        EVP
9   Abigail Johnson    40 Fidelity M&R         President
10  Oprah Winfrey      48 Harpo Entertain.     Chairman
11  Ann Moore          52 AOL Time Warner      CEO
12  Judy McGrath       50 Viacom               President
13  Colleen Barrett    58 Southwest Airlines   COO
14  Shelly Lazarus     55 Ogilvy & Mather      CEO
15  Pat Russo          50 Lucent Tech.         CEO
16  Betsy Bernard      47 AT&T                 CEO
17  Amy Brinkley       46 Bank of America      CRO
18  Lois Juliber       53 Colgate-Palmolive    COO
19  Sherry Lansing     58 Viacom               Chairman
20  Stacey Snider      41 Vivendi Universal    Chairman
21  Judy Lewent        53 Merck                EVP 
22  Marjorie Magner    53 Citigroup            COO
23  Ann Livermore      44 Hewlett-Packard      President
24  Cathleen Black     58 Hearst Magazines     President
25  Doreen Toben       52 Verizon              EVP
26  Amy Pascal         44 Sony                 Chairman
27  Vivian Banta       52 Prudential Fin.      Vice Chair
28  Janet Robinson     52 New York Times       SVP
29  Pam Strobel        50 Exelon               EVP
30  Dina Dublon	       49 J.P. Morgan Chase    EVP
31  Nancy Peretsman    48 Allen & Co.          EVP
32  Susan Arnold       48 Procter & Gamble     President
33  Mary Kay Haben     46 Kraft Foods          EVP
34  Deb Henretta       41 Procter & Gamble     President
35  Carole Black       59 Lifetime Entertain   CEO
36  Jamie Gorelick     52 Fannie Mae           Vice Chair
37  Marce Fuller       42 Mirant               CEO
38  Kathi Seifert      53 Kimberly-Clark       EVP
39  Anne Sweeney       44 Walt Disney          President
40  Marilyn C. Nelson  63 Carlson Cos.         CEO
41  Anne Stevens       53 Ford Motor           EVP
42  Sallie Krawcheck   37 Sanford Bernstein    CEO
43  Carol Tomé         45 Home Depot           EVP
44  Marion Sandler     71 Golden West Fin.     CEO
45  Louise Francesconi 49 Raytheon             EVP
46  Vanessa Castagna   53 J.C. Penney          CEO
47  Larree Renda       44 Safeway              EVP
48  Dawn Lepore        48 Charles Schwab       Vice Chair
49  Fran Keeth         56 Royal Dutch Petrol   CEO
50  Heidi Miller       49 Bank One             EVP 
;

title 'Problem 2.84: Powerful Women Data';

proc insight;
open womenpow;
dist age;
run;

/* Another method of getting summary statistics: */

proc univariate data=womenpow;
var age;
run;