ap statistics cram – chi-square tests & regression
originally streamed in 2021 with Josh ArgoTeacherReview Chi-Square tests and linear regression inference for the AP Statistics exam. This cram session breaks down Units 8 and 9, covering goodness of fit, association, homogeneity tests, and regression slope inference with real examples and calculato ...more
curriculum note
This video covers the chi-square goodness-of-fit test and inference for regression slopes. That content was removed from the AP Statistics course in the 2026-27 revision and is no longer assessed on the exam. The removed material is still useful background, but it is not required for the current course.
covered in this stream
topics
8.2 Setting Up a Chi Square Goodness of Fit Test8.3 Carrying Out a Chi Square Goodness of Fit Test8.4 Expected Counts in Two Way Tables3.14 Setting Up a Chi-Square Test for Homogeneity or Independence3.15 Carrying Out a Chi-Square Test for Homogeneity or Independence9.2 Confidence Intervals for the Slope of a Regression Model9.4 Setting Up a Test for the Slope of a Regression Model9.5 Carrying Out a Test for the Slope of a Regression Model
timestamps
- 0:00
Cram Session Introduction
- 0:32
Curriculum Completion Overview
- 1:36
Recording and Promo Notes
- 2:09
AP Exam Giveaway Details
- 3:45
Q&A Feature Transition
- 4:47
Upcoming Events Preview
- 6:19
Chi-Square Distribution Basics
- 8:22
Categorical Data Recap
- 10:28
Degrees of Freedom Explained
- 12:38
Distribution Differences
- 15:32
Test Statistic Positivity
- 18:06
Multiple Categories Expansion
- 19:09
Types of Chi-Square Tests
- 22:16
Test for Association
- 24:56
Test for Homogeneity
- 28:02
Test Identification and Hypotheses
- 30:38
Calculator Procedures
- 34:24
Chi-Square Statistic Formula
- 35:57
Skittles Example Analysis
- 41:17
Calculator Results and Conclusion
- 43:23
Linear Regression T-Tests
- 45:58
Computer Output Interpretation
- 48:48
R-Squared Explanation
- 52:28
Sample Slope and P-Value
- 56:41
T-Interval Construction
- 1:00:52
Key Takeaways Summary
- 1:03:00
Upcoming Trivia and Events
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