Midterm study guide
The information below provides an overview of the midterm: what it covers, how to prepare, and the format. The midterm takes place in class on Thursday, May 7.
Scope
The midterm covers the following topics:
Study design and data semantics
- observational studies and experiments
- sampling and study units
- variable types (quantitative/categorical, explanatory/response)
Descriptive statistics
- graphical summaries (histograms, boxplots)
- measures of center (mean, median) and spread (standard deviation, IQR)
- shape, skew, and outliers
Point estimation and sampling variability
- sample statistics as estimates of population parameters
- sampling distributions and standard error
Confidence intervals for a mean
- construction using the \(t\) distribution
- interpretation in context
- effect of sample size and confidence level on interval width
One-sample \(t\)-tests
- two-sided, upper-sided, and lower-sided alternatives
- \(t\) statistic and \(p\)-value
- confidence intervals
- test-interval duality
Two-sample \(t\)-tests
- comparing two independent group means
- two-sided, upper-sided, and lower-sided alternatives
- confidence intervals for the difference in means
One-way ANOVA
- hypotheses comparing many group means
- partitioning variation (MSG, MSE) and the \(F\) statistic
- ANOVA table and \(p\)-value
- effect size (\(\eta^2\))
Throughout, you should be familiar with the following core concepts:
- statistical hypotheses and the testing framework
- test statistics and \(p\)-values
- type I and type II errors and the level of a test
- conventional style for reporting results in context
Conventional reporting style
Results should be reported using precise, context-specific language. The templates below illustrate the expected style.
Point estimate
The mean total HDL cholesterol among the U.S. adult population is estimated to be 5.043 mmol/L (SE 0.0191).
Confidence interval
With 95% confidence, the mean total cholesterol among U.S. adults is estimated to be between 5.006 and 5.080 mmol/L.
Hypothesis test (one-sample \(t\)-test; two-sided)
The data do not provide evidence that the mean body temperature differs from 98.6°F (T = −1.328 on 38 degrees of freedom, p = 0.192).
The data provide evidence that the average U.S. adult does not sleep 8 hours per night (T = −42.53 on 3178 degrees of freedom, p < 0.0001).
Note that the test statistic, degrees of freedom, and \(p\)-value are always reported parenthetically, and the interpretation is stated in terms of the research question rather than in terms of the hypotheses themselves.
Format
The midterm is an in-class, closed-computer assessment. Quantitative results will be provided for each problem; prompts will ask you to interpret results in context or carry out simple follow-up calculations.
You may consult any of your course notes and are encouraged to bring a calculator. Digital devices are not permitted.
My recommendation: prepare a concise one- to two-page reference sheet covering key formulas, definitions, and result templates, and bring printed copies of any class notes you find useful.
Preparation
I recommend reviewing the following:
- Lecture slides and notes
- Textbook readings
| Topic | V&H sections |
|---|---|
| Study design and data semantics | 1.1–1.5 |
| Descriptive statistics | 1.4–1.5 |
| Point estimation and sampling variability | 4.1 |
| Confidence intervals | 4.2 |
| One-sample \(t\)-tests | 4.3 |
| Two-sample \(t\)-tests | 5.2–5.3 |
| One-way ANOVA | 5.5 |
- Lab activities and homework assignments
- Example problems from the relevant textbook sections