Book Exercise Lanes
This module's exercise system is book-driven. Use these local chunks for targeted volume after you have already learned the concept from the guide.
How To Use This Page
- Finish the relevant concept page first.
- Solve at least one problem of your own from memory.
- Only then open the matching exercise lane.
- Keep a mistake log with tags such as
bad sample space,assumed equal likelihood,wrong conditioning event,mixed up dependence and disjointness, orconfidence-language error.
Lane 1: Probability Spaces and Event Algebra
Use this lane when your main problem is setting up the model correctly.
- IntroProb: Chapter 1 Exercises (Part 1)
- IntroProb: Chapter 1 Exercises (Part 2)
- IntroProb: Chapter 1 Exercises (Part 3)
- MCS: Events and Probability Spaces Problems and References (Part 1)
Target outcomes:
- 8 correctly modeled sample spaces
- 6 complement or overlap calculations with explanation
- 4 problems where you explicitly justify equal likelihood
Lane 2: Conditioning, Bayes, and Independence
Use this lane when the arithmetic is fine but your interpretation of information is unstable.
- IntroProb: Chapter 2 Exercises (Part 1)
- IntroProb: Chapter 2 Exercises (Part 2)
- IntroProb: Chapter 2 Exercises (Part 3)
- IntroProb: Chapter 2 Exercises (Part 4)
- IntroProb: Chapter 2 Exercises (Part 5)
Target outcomes:
- 6 conditional probability setups written in words first
- 5 Bayes updates with explicit prior, likelihood, and posterior
- 4 independence checks with justification
Lane 3: Random Variables, Distributions, and Expectation
Use this lane when you can describe the event but still choose the wrong random variable or wrong distribution family.
- IntroProb: Chapter 3 Exercises (Part 1)
- IntroProb: Chapter 3 Exercises (Part 2)
- IntroProb: Chapter 3 Exercises (Part 3)
- IntroProb: Chapter 4 Exercises (Part 1)
- IntroProb: Chapter 4 Exercises (Part 2)
- IntroProb: Chapter 4 Exercises (Part 3)
Target outcomes:
- 8 scenarios translated into explicit random variables
- 6 distribution-family selections with reasons
- 6 expectation problems, including at least 3 solved with indicators or linearity
Lane 4: Joint Structure, Continuous Models, and Statistical Thinking
Use this lane when you need volume on covariance, continuous densities, LLN, CLT, or careful interpretation of estimates.
- IntroProb: Chapter 7 Exercises (Part 1)
- IntroProb: Chapter 7 Exercises (Part 2)
- IntroProb: Chapter 10 Exercises (Part 1)
- IntroProb: Chapter 10 Exercises (Part 2)
- MCS: Estimation by Random Sampling
Target outcomes:
- 4 joint or covariance problems
- 4 density or continuous-model problems
- 4 LLN/CLT or sampling-interpretation problems
- 2 written corrections of bad confidence statements
Self-Curated Problem Set
Build a custom set with these minimums:
- 5 sample-space and event-modeling problems
- 5 conditioning or Bayes problems
- 5 random-variable or distribution-selection problems
- 5 expectation or variance problems
- 3 simulation-backed statistical interpretation problems
Completion Checklist
- Completed at least one lane in full
- Logged at least 12 real mistakes and corrections
- Wrote at least 10 full sentence-form probability justifications
- Reattempted at least 4 failed problems after review
- Solved at least 3 problems using simulation to sanity-check theory