Data for Example 1.10

Birth

Format

A data frame/tibble with 51 observations on three variables

state

a character with levels Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Colunbia, 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, and Wyoming

rate

live birth rates per 1000 population

year

a factor with levels 1990 and 1998

Source

National Vital Statistics Report, 48, March 28, 2000, National Center for Health Statistics.

References

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

Examples


rate1998 <- subset(Birth, year == "1998", select = rate)
stem(x = rate1998$rate, scale = 2)
#> 
#>   The decimal point is at the |
#> 
#>   11 | 015
#>   12 | 223479
#>   13 | 0012466888999
#>   14 | 0001222334567788
#>   15 | 023678
#>   16 | 00248
#>   17 | 3
#>   18 | 
#>   19 | 
#>   20 | 
#>   21 | 5
#> 
hist(rate1998$rate, breaks = seq(10.9, 21.9, 1.0), xlab = "1998 Birth Rate",
     main = "Figure 1.14 in BSDA", col = "pink")

hist(rate1998$rate, breaks = seq(10.9, 21.9, 1.0), xlab = "1998 Birth Rate",
     main = "Figure 1.16 in BSDA", col = "pink", freq = FALSE)      
lines(density(rate1998$rate), lwd = 3)

rm(rate1998)