openintro (version 1.7.1)

gpa_study_hours: gpa_study_hours

Description

A data frame with 193 rows and 2 columns. The columns represent the variables gpa and study_hours for a sample of 193 undergraduate students who took an introductory statistics course in 2012 at a private US university.

Usage

data(gpa_study_hours)

Format

A data frame with 193 observations on the following 2 variables.

gpa

Grade point average (GPA) of student.

study_hours

Number of hours students study per week.

Details

GPA ranges from 0 to 4 points, however one student reported a GPA > 4. This is a data error but this observation has been left in the dataset as it is used to illustrate issues with real survey data. Both variables are self reported, hence may not be accurate.

Examples

# NOT RUN {
data(gpa_study_hours)

#===> gap vs. study hours <===#
plot(gpa_study_hours$gpa ~ gpa_study_hours$study_hours,
    xlab = "Study hours/week", ylab = "GPA",
    pch = 20, col = COL[1,2])

# }