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mosaic (version 0.5-1)

Gradebook: A Course's Grade Book

Description

At the end of the semester, an "Introduction to Statistics" instructor wanted to gain insight into his students' performance by analyzing gradebook data. The instructor taught 3 large lecture sections offered at different times during the day. Since each section, depending on the time it was taught, attracted different types of students (in terms of major, age, full-time/part-time, etc.) the instructor chose a random sample of 35 students from each section to insure proper representation.

Usage

data(Gradebook)

Arguments

format

A data frame with 105 observations on the following variables.

  • Midterm1
{student's score on the first midterm (0-100 scale)} Midterm2 {student's score on the second midterm (0-100 scale)} Diff_Mid {the difference between the two midterm exam scores (Midterm1 - Midterm2)} Extra_Credit {did the student turn the extra credit assignment? 0 = No, 1 = Yes} Final {student's score on the final} Class {student's class (1 = First Year, 2 = Sophomore, 3 = Junior, 4 = Senior)}

References

Part of the Carnegie Mellon University Online Learning Initiative datasets.