ex0222: Male and Female Intelligence
In Sleuth3: Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rd Ed)"
Description
Usage
Format
Source
References
See Also
Examples
Description
These data are armed Forces Qualifying Test (AFQT) score percentiles and
component test scores in arithmetic reasoning, word knowledge, paragraph
comprehension, and mathematical knowledge for a sample of 1,278 U.S. women
and 1,306 U.S. men in 1981.
Usage
1
Format
A data frame with 2,584 observations on the following 6 variables.
- Gender
a factor with levels "female" and "male"
- Arith
score on the arithmetic reasoning component of the AFQT test
- Word
score on the word knowledge component
- Parag
score on the paragraph comprehension component
- Math
score on the mathematical knowledge component
- AFQT
percentile score on the AFQT test
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
ex0330, ex0331, ex0524,
ex0525, ex0828, ex0923,
ex1033, ex1223
Examples
1
Example output
'data.frame': 2584 obs. of 6 variables:
$ Gender: Factor w/ 2 levels "female","male": 2 1 2 1 1 1 1 2 2 2 ...
$ Arith : int 19 23 30 30 13 8 10 4 12 3 ...
$ Word : int 27 34 35 35 30 15 17 17 33 11 ...
$ Parag : int 14 11 14 13 11 6 6 6 13 5 ...
$ Math : int 14 20 25 21 12 4 7 6 11 6 ...
$ AFQT : num 70.3 60.4 98.3 84.7 44.5 4 11.8 8.9 44.7 2.8 ...
Sleuth3 documentation built on May 2, 2019, 6:41 a.m.
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Description Usage Format Source References See Also Examples
Description
These data are armed Forces Qualifying Test (AFQT) score percentiles and component test scores in arithmetic reasoning, word knowledge, paragraph comprehension, and mathematical knowledge for a sample of 1,278 U.S. women and 1,306 U.S. men in 1981.
Usage
1 |
Format
A data frame with 2,584 observations on the following 6 variables.
- Gender
a factor with levels
"female"and"male"- Arith
score on the arithmetic reasoning component of the AFQT test
- Word
score on the word knowledge component
- Parag
score on the paragraph comprehension component
- Math
score on the mathematical knowledge component
- AFQT
percentile score on the AFQT test
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
ex0330, ex0331, ex0524,
ex0525, ex0828, ex0923,
ex1033, ex1223
Examples
1 |
Example output
'data.frame': 2584 obs. of 6 variables:
$ Gender: Factor w/ 2 levels "female","male": 2 1 2 1 1 1 1 2 2 2 ...
$ Arith : int 19 23 30 30 13 8 10 4 12 3 ...
$ Word : int 27 34 35 35 30 15 17 17 33 11 ...
$ Parag : int 14 11 14 13 11 6 6 6 13 5 ...
$ Math : int 14 20 25 21 12 4 7 6 11 6 ...
$ AFQT : num 70.3 60.4 98.3 84.7 44.5 4 11.8 8.9 44.7 2.8 ...
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