SATx: State by State SAT data

In dtkaplan/SDSdata: Data and utilities for the book Statistics for Data Science

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. This is the same as mosaicData::SAT, but extended to have categorical versions of the variables frac, expend, salary, and ratio, which makes it easier to visualize how frac changes the sign of the slope of SAT vs frac, etc.

Usage

data(SATx)

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)

• expend_q a translation of expend into a three-level categorical variable

• ratio average pupil/teacher ratio in public elementary and secondary schools, Fall 1994

• ratio_q Similar to expend_q

• salary estimated average annual salary of teachers in public elementary and secondary schools, 1994-95 (in thousands of US dollars)

• salary_q Similar to expend_q

• frac percentage of all eligible students taking the SAT, 1994-95

• frac_q Similar to expend_q

• 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(ggformula)) {
  gf_point(sat ~ expend, data = SAT, color = "blue", alpha = 0.5) %>%
    gf_lm()
  gf_text(sat ~ expend, data = SAT, label = ~ abbreviate(SAT$state, 3),
    inherit = FALSE)
}

dtkaplan/SDSdata documentation built on June 28, 2022, 8:09 a.m.