University of Houston
Department of Mathematics
Math 3339: Statistics
Course Outline
Prerequisites: MATH 3338: Probability
Text: Modern Mathematical Statistics, with Applications, by J.L. Devore and K.N. Berk, Thomson Learning, 2007.
Chapter and Section |
Suggested Exercises |
Chapter 6: Sampling Distributions |
|
| 6.4: Distributions Based on a Normal Sample | 46, 47, 51, 59 |
Chapter 7: Point Estimation |
|
7.1: Concepts and Criteria |
1, 4, 5, 9, 14, 16 |
7.2: Methods of Estimation |
21, 22, 25 |
Chapter 8: Confidence Intervals Based on a Single Sample |
|
8.1: Basic Properties |
1, 4, 5, 9, 10 |
8.2: Large Sample Intervals for Means |
13, 16, 17, 19, 21, 23, 24, 25, 26 |
8.3: Intervals for a Normal Population |
29, 31, 34, 35, 38 |
8.5: Bootstrap Confidence Intervals |
49, 51 (computer) |
Chapter 9: Single-Sample Hypothesis Tests |
|
9.1: Hypotheses and Test Procedures |
1, 3, 4, 7, 11 |
9.2: Tests for a Population Mean |
15, 16, 17, 19, 21, 25, 32 |
9.3: Tests for a Population Proportion |
36, 37, 38, 41 |
9.4: P-Values |
45, 46, 47, 49, 51, 53 |
Chapter 12: Regression and Correlation |
|
12.1: Linear and Logistic Regression |
2, 3, 7, 8, 9 |
12.2: Estimating the Parameters |
13, 15, 16, 17, 19, 22, 27 |
12.3: Inferences About the Slope |
31, 33, 36, 40 |
12.4: Mean Response and Prediction |
45, 48, 53, 54 |
12.5: Correlation |
57, 58, 63, 65 |
12.6: Model Checking |
69, 71, 74 |
12.7: Multiple Regression* |
79, 80, 83 |
Chapter 10: Two-Sample Inferences |
|
10.1: z-Tests and Confidence Intervals |
1, 3, 7, 9, 16 |
10.2: Two-Sample t-Tests and Intervals |
20, 23, 25, 30, 33 |
10.3: Analysis of Paired Data |
39, 40, 42, 43 |
10.4: Inference for Two Proportions |
49, 51, 53, 56, 57 |
Chapter 11: Analysis of Variance |
|
11.1: Single Factor ANOVA |
1, 4, 5, 7 |
11.2: Multiple Comparisons in ANOVA |
11, 15, 16 |
11.4: Two-Factor ANOVA |
35, 36, 39, 43 |
11.5: Two-Factor ANOVA with Replications* |
49, 51, 53 |
* Starred sections are to be covered if time permits.