ex0525: IQ and Future Income

In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"

Description

These data are annual incomes in 2005 of a random sample of 2,584 Americans who were selected for the National Longitudinal Survey of Youth in 1979 and who had paying jobs in 2005. The data set also includes a code for the number of years of education that each individual had completed by 2006: <12, 12, 13–15, 16, and >16. How strong is the evidence that at least one of the five population distributions (corresponding to the different years of education) is different from the others? By how many dollars or by what percent does the mean or median for each of the last four categories exceed that of the next lowest category?

Usage

ex0525

Format

A data frame with 2,584 observations on the following 3 variables.

Subject

subject identification number

Educ

a factor for years of education category with levels "<12", "12", "13-15", "16" and ">16"

Income2005

Annual income in 2005, in U.S. dollars

Source

Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.

References

National Longitudinal Survey of Youth, U.S. Bureau of Labor Statistics, http://www.bls.gov/nls/home.htm (May 8, 2008).

See Also

ex0222, ex0330, ex0331, ex0524, ex0828, ex0923, ex1033, ex1223

Examples

str(ex0525)

Example output

'data.frame':	2584 obs. of  3 variables:
 $ Subject   : int  2 6 7 8 9 13 16 17 18 20 ...
 $ Educ      : Factor w/ 5 levels "12","13-15","16",..: 1 3 1 2 2 3 2 2 2 5 ...
 $ Income2005: int  5500 65000 19000 36000 65000 8000 71000 43000 120000 64000 ...

Sleuth3 documentation built on May 2, 2019, 6:41 a.m.