Class grades

Description
Grades from a Chemical Engineering course at McMaster University.
Data source

The recorded values are the average of sub-components: e.g the Tutorial variable is the average of all tutorials, the Final exam variable is the average of all questions in the final, written exam.

The Prefix column is the year in which the student first enrolls at the university and is a crude approximation of the student's age (maturity).

This particular course permitted students to work in groups for assignments, tutorials and the take-home exam. The groups were self-selected, and varied during the semester.

Of interest is whether the assignments, tutorials, midterms or take-home exam are a good predictor of the student's performance in the final exam. Also, does the Prefix variable show any promise as a prediction variable?

Data shape
99 rows and 6 columns
Usage restrictions
None
Contact person
Kevin Dunn
Contact details
[email protected]
Added here on
20 March 2011 11:35
Last updated
11 November 2018 16:30

Load this dataset in Python

import pandas as pd

df = pd.read_csv("https://openmv.net/file/class-grades.csv")
df.describe()

Preview (first 10 rows)

PrefixAssignmentTutorialMidtermTakeHomeFinal
0557.1434.0964.3851.4852.50
0895.05105.4967.5099.0768.33
0883.7083.1730.063.1548.89
0781.2296.0649.38105.9380.56
0891.3293.6495.0107.4173.89
0795.092.5893.1297.7868.06
0895.05102.9956.2599.0750.0
0772.8586.8560.056.11
0884.2693.1047.5018.5250.83
0790.1097.5551.2588.8963.61