The midterm has two parts:
1) Part A: 30 multiple-choice questions (60 minutes)
- Please use a pencil to bubble in answers on your scantron.
2) Part B: 2 free-response questions (30 minutes)
- Please use a pen or pencil to fill out answers on your free-response sheet.
The midterm will cover Chapters 1, 2, 4, 5, and 6 in the textbook. The following are the recommended practice problems to prepare for the midterm.
| Chapter | Textbook Questions | Barron’s Questions |
|---|---|---|
| 1 | p. 78 (T1.1 - 15) | p. 77 (#1 - 34) p. 144 (# 1 - 12) |
| 2 | p. 137 (T2.1 - 2.13) | p. 251 (#1 - 17) |
| 4 | p. 279 (T4.1 - 4.14) | p. 159 (#1 - 15) p. 177 (# 1 - 19) |
| 5 | p. 342 (T5.1 - 5.14) | p. 205 (#1 - 46) |
| 6 | p. 418 (T6.1-6.14) | p. 234 (#1 - 6) |
The midterm will include but may not necessarily be limited to the following topics delineated by chapter.
Chapter 1 topics:
- 5-number summary
- boxplots
- ordering of mean, median, and mode in skewed distributions
Chapter 2 topics:
- z-scores
- percentiles
- probability calculations using normal CDF
Chapter 4 topics:
- random sampling methods (SRS, stratified, cluster, systematic)
- other sampling methods (convenience, voluntary)
- undercoverage
- experimental design
- completely randomized design
- randomized block design
- random sampling vs. random assignment
- causality vs. generalizability
Chapter 5 topics:
- Law of Large Numbers
- probability
- General Addition Rule: $P(A\cup B) = P(A) + P(B) - P(A\cap B)$
- General Multiplication Rule: $P(A\cap B) = P(A)*P(B|A)$
- Mutually exclusive vs. independent events
- Conditional probability
- $P(A|B) = \frac{P(A\cap B)}{P(B)} = \frac{P(A)P(B|A)}{P(B)}$
- perfect independence in two-way tables
Chapter 6 topics:
- random variables
- transformation of random variables
- binomial distribution
- geometric distribution
