R Dataset / Package mosaicData / SAT

On this R-data statistics page, you will find information about the SAT data set which pertains to State by State SAT data. The SAT data set is found in the mosaicData R package. You can load the SAT data set in R by issuing the following command at the console data("SAT"). This will load the data into a variable called SAT. If R says the SAT data set is not found, you can try installing the package by issuing this command install.packages("mosaicData") and then attempt to reload the data with the library() command. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the SAT R data set. The size of this file is about 2,272 bytes.

State by State SAT data

Description

SAT data assembled for a statistics education journal article on the link between SAT scores and measures of educational expenditures

Usage

data(SAT)

Format

A data frame with 50 observations on the following variables.

state a factor with names of each state
expend expenditure per pupil in average daily attendance in public elementary and secondary schools, 1994-95 (in thousands of US dollars)
ratio average pupil/teacher ratio in public elementary and secondary schools, Fall 1994
salary estimated average annual salary of teachers in public elementary and secondary schools, 1994-95 (in thousands of US dollars)
frac percentage of all eligible students taking the SAT, 1994-95
verbal average verbal SAT score, 1994-95
math average math SAT score, 1994-95
sat average total SAT score, 1994-95

Source

http://www.amstat.org/publications/jse/secure/v7n2/datasets.guber.cfm

References

Deborah Lynn Guber, "Getting what you pay for: the debate over equity in public school expenditures" (1999), Journal of Statistics Education 7(2).

Examples

data(SAT)
if (require(lattice)) {
xyplot(sat ~ expend, SAT)
xyplot(sat ~ expend, SAT, 
 panel=function(x,y){grid.text(abbreviate(SAT$state, 3), x, y, default.units='native')})
}

Dataset imported from https://www.r-project.org.

Attachments: csv, json

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