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GPA3

GPA3

GPA3 unavailable course data for Module 8 robust F tests and race indicators in GPA equations.

Open LINK data

Structure

cross-sectional

File type

LINK

Module

Course catalog

Visibility

public

Preview table

Preview rows are shown when safely installed in the app. External or licensed files may need to be opened from the source link.

No local preview table is installed for this dataset. Use the download/source link, then load it with the Python example below.

Python loading code

import pandas as pd

# Download GPA3 from the dataset link first.
data = pd.read_stata("GPA3.DTA")
print(data.head())

Check the variable dictionary and source documentation before dropping or recoding missing values.

Dataset AI assistant

Get help with variables, graphs, regression questions, limitations, and Python loading code.

Variables dictionary

cumgpanumeric

cumgpa used for Module 8 robust F tests and race indicators in GPA equations.

Missing values: Review source documentation before recoding missing values.

satnumeric

sat used for Module 8 robust F tests and race indicators in GPA equations.

Missing values: Review source documentation before recoding missing values.

hspercnumeric

hsperc used for Module 8 robust F tests and race indicators in GPA equations.

Missing values: Review source documentation before recoding missing values.

femalenumeric

female used for Module 8 robust F tests and race indicators in GPA equations.

Missing values: Review source documentation before recoding missing values.

blacknumeric

black used for Module 8 robust F tests and race indicators in GPA equations.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.GPA3 is catalogued for Module 8 robust F tests and race indicators in GPA equations. Dataset not installed yet; use the course data folder to locate and install this file.
  2. 2.Create one summary table and one graph that support an econometric question.
  3. 3.Write one limitation about measurement, missing data, or omitted variables.