BSDA (version 1.2.0)

Attorney: Number of convictions reported by U.S. attorney's offices

Description

Data for Example 2.2 and Exercises 2.43 and 2.57

Usage

Attorney

Format

A data frame/tibble with 88 observations on three variables

staff

U.S. attorneys' office staff per 1 million population

convict

U.S. attorneys' office convictions per 1 million population

district

a factor with levels Albuquerque, Alexandria, Va, Anchorage, Asheville, NC, Atlanta, Baltimore, Baton Rouge, Billings, Mt, Birmingham, Al, Boise, Id, Boston, Buffalo, Burlington, Vt, Cedar Rapids, Charleston, WVA, Cheyenne, Wy, Chicago, Cincinnati, Cleveland, Columbia, SC, Concord, NH, Denver, Des Moines, Detroit, East St. Louis, Fargo, ND, Fort Smith, Ark, Fort Worth, Grand Rapids, Mi, Greensboro, NC, Honolulu, Houston, Indianapolis, Jackson, Miss, Kansas City, Knoxville, Tn, Las Vegas, Lexington, Ky, Little Rock, Los Angeles, Louisville, Memphis, Miami, Milwaukee, Minneapolis, Mobile, Ala, Montgomery, Ala, Muskogee, Ok, Nashville, New Haven, Conn, New Orleans, New York (Brooklyn), New York (Manhattan), Newark, NJ, Oklahoma City, Omaha, Oxford, Miss, Pensacola, Fl, Philadelphia, Phoenix, Pittsburgh, Portland, Maine, Portland, Ore, Providence, RI, Raleigh, NC, Roanoke, Va, Sacramento, Salt Lake City, San Antonio, San Diego, San Francisco, Savannah, Ga, Scranton, Pa, Seattle, Shreveport, La, Sioux Falls, SD, South Bend, Ind, Spokane, Wash ,Springfield, Ill, St. Louis, Syracuse, NY, Tampa, Topeka, Kan, Tulsa, Tyler, Tex, Washington, Wheeling, WVa, and Wilmington, Del

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples

# NOT RUN {
par(mfrow=c(1, 2))
plot(convict ~ staff, data = Attorney, main = "With Washington, D.C.")
plot(convict[-86] ~staff[-86], data = Attorney, 
main = "Without Washington, D.C.")
par(mfrow=c(1, 1))

# }