Chapter 1 Problem 1.34: Table gives the number of active medical doctors per 100,000 people in each state.


Chapter 1

Problem 1.34: Table gives the number of active medical doctors per 100,000 people in each state. a) Why is the number of doctors per 100,000 people a better measure of the availability of health care than a simple count of the number of doctors in a state? b) Make a histogram that displays the distribution of doctors per 100,000 people. Write a brief description of the distribution. Are there any outliers? If so, can you explain them?

Medical Doctors Per 100,000 people by state
State Doctors
State Doctors State Doctors
Alabama 202
Alaska 194
Arizona 196
Arkansas 194
California 252
Colorado 236
Connecticut 360
Delaware 242
Florida 237
Georgia 208
Hawaii 280
Idaho 161
Illinois 265
Indiana 207
Iowa 178
Kansas 210
Kentucky 219
Louisiana 258
Maine 250
Maryland 378
Massachusetts 427
Michigan 230
Minnesota 263
Mississippi 171
Missouri 233
Montana 215
Nebraska 230
Nevada 174
New Hampshire 251
New Jersey 305
New Mexico 222
New York 385
North Carolina 241
North Dakota 228
Ohio 248
Oklahoma 163
Oregon 242
Pennsylvania 291
Rhode Island 341
South Carolina 219
South Dakota 201
Tennessee 250
Texas 204
Utah 200
Vermont 346
Virginia 253
Washington 250
West Virginia 221
Wisconsin 256
Wyoming 176
District of Columbia 683



Problem 1.44: Alligator Attacks. Here are data on the number of unprovoked attacks by alligators on people in Florida over a 33 year period:

Year Attacks Year Attacks Year Attacks Year Attacks
  1. 5
  2. 3
  3. 4
  4. 5
  5. 2
  6. 14
  7. 5
  8. 2
  9. 4
  1. 5
  2. 6
  3. 6
  4. 5
  5. 3
  6. 13
  7. 9
  8. 9
  9. 13
  1. 18
  2. 18
  3. 10
  4. 18
  5. 22
  6. 19
  7. 13
  8. 11
  9. 9
  1. 15
  2. 23
  3. 17
  4. 14
  5. 6
  6. 11


  1. Make a histogram of the counts of attacks. What is the overall shape of the distribution? What is the midpoint of the yearly counts of alligator attacks?

    b) Make a time plot. What overall pattern does your plot show? Why is the typical number of attacks from 1972 to 2004 not very useful in (say) 2006? (The main reason for the time trend is the continuing increase in Florida's population)

Chapter 2


2.23: Incomes of College grads. The Census Bureau reports that the mean and median income of people at least 25 years old who had a bachelor's degree but no higher degree were $42,087 and $53,581 in 2004. Which of these numbers is the mean and which is the median? Explain your reasoning.

2.39: Return on stocks. How well have stocks done of the past generation? The Standard and Poor's 500 stock index describes the average performance of the stocks of 500 leading companies. Because the average is weighted by the total market value of each company's stock, the index emphasizes larger companies. Here are the real (that is, adjusted for the changing buying power of the dollar) returns on the S&P for the years 1972 to 2004:

Year Return Year Return Year Return
  1. 15.070
1973 -21.522
1974 -34.540
1975 28.353
1976 18.177
1977 -12.992
1978 -2.264
1979 4.682
1980 17.797
1981 -12.710
1982 17.033
  1. 18.075
  2. 2.253
  3. 26.896
  4. 17.390
  5. 0.783
  6. 11.677
  7. 25.821
  8. -8.679
  9. 26.594
  10. 4.584
  11. 7.127
1994 -1.316
1995 34.167
1996 19.008
1997 31.138
1998 26.534
1999 17.881
2000 -12.082
2001 -13.230
2002 -23.909
2003 26.311
2004 7.370


What can you say about the distribution of real returns on stocks? Follow the four-step process in your answer.


2.45 Carbon dioxide emissions.
Table gives CO2 emissions per person for countries with population at least 20 million. A stem plot or histogram shows that the distribution is strongly skewed to the right. The US and several other countries appear to be high outliers.

Carbon Dioxide Emissions, Metric Tons per person
Country CO2
Country CO2 Country CO2
Algeria 2.3
Argentina 3.9
Australia 17.0
Bangladesh 0.2
Brazil 1.8
Canada 16.0
China 2.5
Colombia 1.4
Congo 0.0
Egypt 1.7
Ethiopia 0.0
France 6.1
Germany 10.0
Ghana 0.2
India 0.9
Indonesia 1.2
Italy 7.3
Iran 3.8
Iraq 3.6
Japan 9.1
Kenya 0.3
Korea, North 9.7
Korea, South 8.8
Malaysia 4.6
Mexico 3.7
Morocco 1.0
Myanmar 0.2
Nepal 0.1
Nigeria 0.3
Pakistan 0.7
Peru 0.8
Philippines 0.9
Poland 8.0
Romania 3.9
Russia 10.2
Saudi Arabia 11.0
South Africa 8.1
Spain 6.8
Sudan 0.2
Tanzania 0.1
Thailand 2.5
Turkey 2.8
Ukraine 7.6
United Kingdom 9.0
United States 19.9
Uzbekistan 4.8
Venezuela 5.1
Vietnam 0.5


  1. Give the 5-number summary. Explain why this summary suggests this distribution is right-skewed.
    b) Which countries are outliers according to the 1.5 x I QR rule? Make a stemplot of the data. Do you agree with the rule's suggestion about which countries are and are not outliers?
Price: $20.01
Solution: The downloadable solution consists of 12 pages, 801 words and 5 charts.
Deliverable: Word Document


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