# ex0524: 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 for 2,584 Americans who were selected in the National Longitudinal Study of Youth 1979, who were available for re- interview in 2006, and who had paying jobs in 2005, along with the quartile of their AFQT (IQ) test score taken in 1981. How strong is the evidence that the distributions of 2005 annual incomes differ in the four populations? By how many dollars or by what percent does the distribution of 2005 incomes for those within the highest (fourth) quartile of IQ test scores exceed the distribution for the lowest (first) quartile?

## Usage

 `1` ```ex0524 ```

## Format

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

Subject

subject identification number

IQquartile

a factor with levels `"1stQuartile"`, `"2ndQuartile"`, `"3rdQuartile"` and `"4thQuartile"`

Income2005

annual income in U.S. dollars, 2005

## 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).

`ex0222`, `ex0330`, `ex0331`, `ex0525`, `ex0828`, `ex0923`, `ex1033`, `ex1223`

## Examples

 `1` ```str(ex0524) ```

### Example output

```'data.frame':	2584 obs. of  3 variables:
\$ Subject   : int  2 6 7 8 9 13 16 17 18 20 ...
\$ IQquartile: Factor w/ 4 levels "1stQuartile",..: 1 4 2 2 3 3 2 4 4 3 ...
\$ Income2005: int  5500 65000 19000 36000 65000 8000 71000 43000 120000 64000 ...
```

Sleuth3 documentation built on May 31, 2017, 1:56 a.m.