Data Sets

• A set of three variables that provides an opportunity to practice calculating simple statistics and drawing graphs.
• Variables
  1. County identification (FIPS) code. Of no substantive value.
  2. Percent of all persons in the county who are poor
  3. Percent of children 5 to 17 who are poor
  4. Median family income.

City Infant Mortality and Crime Rates data.

Per Capita energy Consumption in 50 US States

• For Class notes 6 and Assignment 3
• D.C. data not included.

Percent of Housing Units Without Telephones, 1994

• Right click the file name and select Save Link As...
• A single column of data for assignment 4.
• N = 3141

Number of Federal Employees, 1920 to 1985

• Five year periods
• c1 Federal employees (1,000)
• c2 Population (1,000)
• c3 Year
• c4 Time period indicator
  • 0 for years before 1945
  • 1 for years 1945 and after
• c5 Per capita federal employees

Right to work data from Carneige Mellon University Stat Lab used in Class 15 Notes.

The variables are:
1. State abbreviation (c1)
2. Percent of state employees in unions (c2)
3. Presence or absence of state employee right to work law 0 = No 1 = Yes (c3)
4. Presence or absence of general right to work law 0 = No 1 = Yes (c4)
5. Percent of workforce in unions (c5)
• Note: you may have to delete the state abbreviations

Boston "Cities" Data

• N = 506
• This is the full version from the "Stat Library." It is too large for the Student Version of MINITAB.
• You will have to cut out or edit the heading information at the top of the file. It takes time but can be done.

Limited Version of Boston "Cities" Data

• This is an abbreivated version for use in Assignment 9.
• It has only four variables: per capita crime rate, percent of "older" housing, percent of population classified as "lower class," and median value of owner-occupied housing.

State Public Expenditures

• From the Data and Story Library at Carneige Mellon University
• Example used in Class 18
• Useful for exploring regression and correlation.

Surgical Procedures Data used in Class 18

• Shows the importance of recognizing outliers and using plots.
• Data for 50 States plus District of Columbia (N = 51)
• Variables
  1. c1 Number of surgical procedures
  2. c2 Number of surgical specialists/100,000 population
  3. c3 Number of general surgeons/100,000
  4. c4 State Population in 1990

Various Cross-national Social and Economic Indicators

• From Statistica Methods, Agresti and Finlay.
• For Assignment 10 the 18th case is Nigeria.

Posc/Uapp 816 Sample data from Class 4:

• Sample of 13 California counties; 14 Alabama counties.
• Variables are:
  • c1: California: infant mortality, 1990.
  • c2: California: Crimes known to police,per 100,000 population, 1994.
  • c3: California: Active physicians per 100,100 population
  • c4: Alabama: infant mortality, 1990.
  • c5: Alabama: Crimes known to police,per 100,000 population
  • c6: Alabama: Active physicians per 100,100 population.

Posc/Uapp 816 "Religon and Politics Data"

• Three variables from the 1996 American National Election Study
• Full sample N = 1713
• Sample of sample N = 750
  • Use this when using the Student version of MINITAB
• Variables
  • column 1 (c1) "Respondent agrees/Disagrees: mothers with children should work."
  • column 2 (c2) "How frequently does respondent pray?"
  • column 3 (c3) "Respondent's view on whether the Bible is the word of God."

• (c1) Age in months
• (c2) Height in centimeters

Smoking and Cancer Data for Posc/Uapp 816Class 11 - A and Assignment 6.

• These data come from the Data Story Library
• The raw data are here

Vote for Perot in 1992 in three states.

• Data are for the counties in Oregon, New Jersey, Maryland, and Colorado.
• c1: Percent of county voters for Perot in 1992.
• c2: Percent of county voters for Reagan in 1984.
• c3 State indicator:
  • 1 New Jersey
  • 2 Colorado
  • 3 Maryland
  • 4 Oregon

Crime and Social-economic data for 67 Florida Counties

• Data from Agresti and Finlay, Statistical Methods for Social Sciences
• Variables:
  • c1 Crimes per 1,000 population.
  • c2 Income in thousands of dollars.
  • Percent of residants with at least a high school education.
  • Percent living in urban areas.

Turnout in presidential elections, 1824 to 1996.

• Column 1: Percent of eligible electorate voting.
• Column 2: Year

California House Members

• Very small, incompete data set. used in Class 22
• Variables for approximately 47 representatives.
  • c1: Percent of district classified "rural."
  • c2: Vote on measure to repeal ban on assault weapons:
    • 1 = "no": vote against repealing the ban.
    • 0 = "yes": vote to repeal
  • c3: Vote on measure to increase minimum wage.
    • 1 = "yes": vote to increase
    • 0 = "no": vote against increase
  • Party affliation
    • 1 = Democrat
    • 0 = Republican
  • c5: ADA score: rating by Americans for Democratic Action, a "liberal" organization.
    • Scores range from 0 (most conservative) to 100 (most liberal)
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