Educat {BSDA} | R Documentation |
Crime rates versus the percent of the population without a high school degree
Description
Data for Exercise 2.41
Usage
Educat
Format
A data frame/tibble with 51 observations on three variables
- state
a factor with levels
Alabama
,Alaska
,Arizona
,Arkansas
,California
,Colorado
,Connecticut
,DC
,Delaware
,Florida
,Georgia
,Hawaii
,Idaho
,Illinois
,Indiana
,Iowa
,Kansas
,Kentucky
,Louisiana
,Maine
,Maryland
,Massachusetts
,Michigan
,Minnesota
,Mississippi
,Missour
,Montana
,Nebraska
,Nevada
,New Hampshire
,New Jersey
,New Mexico
,New York
,North Carolina
,North Dakota
,Ohio
,Oklahoma
,Oregon
,Pennsylvania
,Rhode Island
,South Carolina
,South Dakota
,Tennessee
,Texas
,Utah
,Vermont
,Virginia
,Washington
,West Virginia
,Wisconsin
, andWyoming
- nodegree
percent of the population without a high school degree
- crime
violent crimes per 100,000 population
References
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
Examples
plot(crime ~ nodegree, data = Educat,
xlab = "Percent of population without high school degree",
ylab = "Violent Crime Rate per 100,000")