Question: The following tables provide information about the top women-owned businesses in the U.S. The first table gives year 2000 revenue in millions of dollars

and number of employees for Pennsylvania women-owned companies with year 2000 revenues of $70 million or higher. The second table gives the same information for Michigan women-owned companies with year 2000 revenues of $70 million or higher.

Pennsylvania Companies 2000 Revenue ($ million) Number of Employees

PPennsylvania Companies 2000 Revenue ($ million) Number of Employees

PA Company 2000 Revenue ($mill) # Employees

84 Lumber 2000 4400

Charming Shoppes 1600 12000

Rodale 500 1300

Mothers Work 366.3 3800

Harmelin Media 200 105

McGettigan Partners 175 400

Wetherill Associates 135 500

Hanna Holdings 73.7 1284

MI Company 2000 Revenue ($mill) # Employees

Michigan Companies 2000 Revenue ($ million) Number of Employees

Ilitch Holdings 800 700

Plastech Engineered Products 420 3500

Jerome-Duncan Ford 350 300

Elder Ford 287.6 108

Patsy Lou Williamson Auto. Gp. 221 240

Mexican Industries 174 1463

Rush Trucking 153 2000

Jaguar-Saab of Troy 143 134

Manpower Metro Detroit 118 250

Continental Plastics 107 650

Leco 82 800

Rodgers Chevrolet GEO 75 80

Strategic Staffing Solutions 75 600

Two Men & a Truck Internat’l 75 40

Systrand Manufacturing 72 230

a. Use a calculator or computer to compute the mean and standard

of the year 2000 revenue for the Pennsylvania companies in the first table.

b. Use a calculator or computer to compute the mean and standard deviation

of the year 2000 revenue for the Michigan companies in the second table.

c. Explain what the values you calculated in parts a and b of this exploration

tell you about the data sets.

d. How would the mean and standard deviations change if the largest data

value in each set were removed?

e. Find the mean and the standard deviation of the number of employees for

the Pennsylvania companies in the first table.

f. Find the mean and the standard deviation of the number of employees for

the Michigan companies in the second table and compare to your results

in part e of this exploration