Module 4

Confidence Intervals

Build confidence intervals from estimates, standard errors, and t critical values.

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Notebook lab guide

Related dataset

WAGE1

Estimated time

35 to 55 min

Packages

pandas, numpy, statsmodels, patsy

Expected output

A regression or inference table with coefficients, uncertainty, and short interpretation notes.

Learning goals

Load and inspect WAGE1.
Run the Python cells connected to Confidence Intervals for Regression Coefficients.
Interpret the output using confidence intervals and WAGE1.

Common errors

File not found: check that WAGE1.DTA is installed or use the course data folder.
Package import error: use the browser notebook first, then download for local Jupyter if your local packages differ.
Column name error: compare your variable names with the dataset variables listed for this notebook.

Dataset path helper

import pandas as pd

df = pd.read_stata("/data/WAGE1.DTA")
df.head()

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