Problem sets

All problem sets are end of chapter exercises from OpenIntro Statistics, 3rd Edition.

You only need to turn in answers to graded questions, and you can use the back of the book to check your work on the practice questions. See below for the specific problem set assignment.

You must show all work to get credit.

Where do I submit my problem sets?

You will submit your problem sets on Sakai, under Assignments.

How do I submit my problem sets?

You will turn in your problem sets on Sakai. We strongly recommend working in a word processor of your choice, saving your work as PDF, and submitting that. You are welcomed to submit as Word files as well, however if we cannot open your file you will receive a 0 on the problem set (so it may not be worth taking that risk!). Alternatively you can type your answers in the text box in Sakai however if you lose internet connection and you haven’t saved you might lose your work (so if you’ll use this approach make sure to save often!).

What is the late work policy on problem sets?

All assignments will be time stamped and late work will be penalized based on this time stamp. - next day: lose 30 points - later than next day: lose all points Late work policy for excused absences / STINFs: If you cannot complete an assignment on the due date due to a documented short-term illness, you have until noon the following day to complete it at no penalty. Then the regular late work policy will kick in.

See the schedule page for due dates. Make sure to complete the correct assignment. If you complete and submit the wrong assignment, you will not get a chance to make it up!

PS 1:

  • Graded questions: 1.2, 1.6, 1.12, 1.20, 1.32, 1.34, 1.44, 1.52, 1.56, 1.60, 1.64, 1.66, 1.68, 1.70 (see errata)
  • Practice questions:
    • Part 1 – Designing studies: 1.1, 1.3, 1.11, 1.13, 1.17, 1.19, 1.25, 1.27, 1.31
    • Part 2 – Exploratory data analysis: 1.39, 1.41, 1.45, 1.49, 1.51, 1.55, 1.59, 1.63, 1.65
    • Part 3 – Introduction to inference via simulation: 1.67, 1.69

PS 2:

  • Graded questions:
    • Chp 2: 2.2, 2.8, 2.18, 2.20, 2.22, 2.26
    • Chp 3: 3.4, 3.6, 3.12, 3.18, 3.26, 3.30, 3.36
  • Practice questions:
    • Part 1 – Defining probability: 2.1, 2.3, 2.5, 2.7, 2.13
    • Part 2 – Conditional probability: 2.15, 2.19, 2.21, 2.23
    • Part 3 – Normal distribution: 3.3, 3.5, 3.9, 3.11, 3.17
    • Part 4 – Binomial distribution: 3.25, 3.27, 3.29, 3.33

PS 3:

  • Graded questions: 4.2, 4.8, 4.10, 4.12, 4.16, 4.20, 4.24, 4.28, 4.30, 4.32, 4.36, 4.38, 4.44, 4.48
  • Practice questions:
    • Part 1 – Variability in estimates and the Central Limit Theorem: 4.1, 4.3, 4.5, 4.33, 4. 35, 4.37, 4.41
    • Part 2 – Confidence intervals: 4.9, 4.11, 4.13, 4.15
    • Part 3 – Hypothesis tests: 4.17, 4.19, 4.23, 4.25, 4.27
    • Part 4 – Inference for other estimators: 4.43, 4.45
    • Part 5 - Decision errors, significance, and confidence: 4.29, 4.31, 4.47

PS 4:

  • Graded questions: Chp 5: 5.4, 5.6, 5.12, 5.16, 5.20, 5.28, 5.30, 5.34, 5.36, 5.38, 5.44, 5.46, 5.48, 5.50
  • Practice questions:
    • Part 1 – t-inference: 5.1, 5.3, 5.5, 5.13, 5.17, 5.19, 5.21, 5.23, 5.27, 5.31, 5.35, 5.37
    • Part 2 – Power: 5.39
    • Part 3 – Comparing three or more means (ANOVA): 5.41, 5.43, 5.45, 5.47, 5.49, 5.51
    • Part 4 – Simulation based inference for means

PS 5:

  • Graded questions: 6.2, 6.4, 6.8, 6.12, 6.16, 6.20, 6.26, 6.28, 6.30, 6.36, 6.44, 6.48, 6.52, 6.54, 6.56
  • Practice questions:
    • Part 1 – Single proportion: 6.1, 6.3, 6.5, 6.9, 6.11, 6.13, 6.15, 6.19, 6.21
    • Part 2 – Comparing two proportions: 6.23, 6.25, 6.27, 6.29, 6.31, 6.33, 6.35
    • Part 3 – Inference for proportions via simulation: 6.51, 6.53, 6.55
    • Part 4 – Comparing three or more proportions (Chi-square): 6.39, 6.41, 6.43, 6.45, 6.47

PS 6:

  • Graded questions: 7.2, 7.6, 7.8, 7.10, 7.12, 7.14, 7.16, 7.18, 7.20, 7.26, 7.28, 7.30, 7.34, 7.36, 7.42, 7.44
  • Practice questions:
    • Part 1 – Relationship between two numerical variables: 7.1, 7.3, 7.7, 7.9, 7.11, 7.13, 7.15
    • Part 2 – Linear regression with a single predictor: 7.17, 7.19, 7.25, 7.27, 7.29, 7.31, 7.33
    • Part 3 – Inference for linear regression: 7.25, 7.37, 7.39, 7.41, 7.43

PS 7:

  • Graded questions: 8.2, 8.4, 8.6, 8.8, 8.10, 8.12, 8.14
  • Practice questions:
    • Part 1 – Regression with multiple predictors: 8.1, 8.3
    • Part 2 – Inference for MLR: 8.5
    • Part 3 – Model selection: 8.7, 8.9, 8.11
    • Part 4 – Model diagnostics: 8.13

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