Data set describing a sample of undergraduate students

Data for Exercise 1.15

Undergrad

Format

A data frame/tibble with 100 observations on six variables

gender

character variable with values Female and Male

major

college major

class

college year group classification

gpa

grade point average

sat

Scholastic Assessment Test score

drops

number of courses dropped

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples

stripchart(gpa ~ class, data = Undergrad, method = "stack", 
col = c("blue","red","green","lightblue"),
pch = 19, main = "GPA versus Class")

stripchart(gpa ~ gender, data = Undergrad, method = "stack", 
           col = c("red", "blue"), pch = 19,
           main = "GPA versus Gender")

           stripchart(sat ~ drops, data = Undergrad, method = "stack", 
           col = c("blue", "red", "green", "lightblue"),
           pch = 19, main = "SAT versus Drops")

stripchart(drops ~ gender, data = Undergrad, method = "stack", 
           col = c("red", "blue"), pch = 19, main = "Drops versus Gender")

 if (FALSE) {
 library(ggplot2)
 ggplot2::ggplot(data = Undergrad, aes(x = sat, y = drops, fill = factor(drops))) + 
            facet_grid(drops ~.) +
            geom_dotplot() +
            guides(fill = FALSE)
}