Description Usage Format Source References See Also Examples
This is a subset of the National Longitudinal Study of Youth (NLSY79) data, with annual incomes in 2005 (in U.S. dollars, as Recorded in a 2006 interview); scores on the Word Knowledge, Paragraph Comprehension, Arithmetic Reasoning, and Mathematics Knowledge portions of the Armed Forces Vocational Aptitude Battery (ASVAB) of tests taken in 1981; and the percentile score of the Armed Forces Qualifying Test (AFQT), which is a linear combination of the four component tests mentioned above (but note that AFQT reported here is the percentile, which is not a linear combination of the four component scores). Which of the five test scores seem to be the most important predictors of 2005 income? Is the AFQT sufficient by itself?
1 |
A data frame with 2,584 observations on the following 7 variables.
the subject identification number
score on the Arithmetic Reasoning test in 1981
score on the Word Knowledge Test in 1981
score on the Paragraph Comprehension test in 1981
score on the Mathematics Knowledge test in 1981
percentile score on the AFQT intelligence test in 1981
annual income in 2005
Ramsey, F.L. and Schafer, D.W. (2013). The Statistical Sleuth: A Course in Methods of Data Analysis (3rd ed), Cengage Learning.
National Longitudinal Survey of Youth, U.S. Bureau of Labor Statistics, http://www.bls.gov/nls/home.htm (May 8, 2008).
ex0222
, ex0330
, ex0331
,
ex0524
, ex0525
, ex0828
,
ex0923
, ex1223
1 |
'data.frame': 2584 obs. of 7 variables:
$ Subject : int 2 6 7 8 9 13 16 17 18 20 ...
$ Arith : int 8 30 14 13 21 30 17 29 30 17 ...
$ Word : int 15 35 27 35 28 29 30 33 35 28 ...
$ Parag : int 6 15 8 12 10 13 12 13 14 14 ...
$ Math : int 6 23 11 4 13 24 17 21 23 20 ...
$ AFQT : num 6.84 99.39 47.41 44.02 59.68 ...
$ Income2005: int 5500 65000 19000 36000 65000 8000 71000 43000 120000 64000 ...
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.