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Chapter 1(skip Section 1.5), Chapter 2 (lightly), | 1.1, 1.2, 1.3, 1.5 |
| . | Chapter 3 (all sections in detail) | 3.10, 3.13, 3.15, 3.20, 3.21,3.32, 3.35, 3.37,3.42, 3.44, 3.46,3.50, 3.55,.58, 3.59, 3.60, 3.78, 3.79, 3.80, 3.87, |
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Chapter 4 Sections 4.11, 4.6, 4.7 (We shall skip sections 4.1-4.5 ) |
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| . | Chapter 4 Section 4.8 . | 4.31, 4.32, 4.33, 4.41,4.42, 4.47, 4.48, 4.49 |
| . | Chapter 4 Section 4.9 and 4.10 | 4.52-4.66, 4.73, 4.74, 4.76, 4.78 |
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Chapter 4 Section 4.12 carefully. | 4.87, 4.94, 4.95, 4.97, 4.98 |
| . | Chapter 4 Section 4.12 again Ch 4 review | 4.101, 4.104, 4.105, 4.112, 4.116, 4.121, 4.122, 4.123 |
| . | Chapter 4 Section 4.13 and follow Example 4.22. | . |
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Chapter 5 Section 5.1,5.2 | 5.5, 5.6, 5.7, 5.9, 5.11,5.13, 5.17 |
| . | Chapter 5 Section 5.3, 5.4 | 5.18, 5.19, 5.21, 5.22,5.25, 5.26(a,b), 5.31, 5.34, 5.36 |
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Chapter 5 Section 5.5, 5.6, 5.7 | 5.40, 5.41, 5.42,5.43,5.52, 5.53, 5.55, 5.57, 5.58, 5.60 |
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Chapter 5 Sections 5.4, 5.5, and 5.7 concerning Type II Error and Power computations and Sample size determinations for hypothesis testing. Ch5 review | Chapter 5 Exercises associated with these material. 5.77, 5.79, 5.85, 5.87, 5.89, 5.93, 5.95, 5.99, 5.101, 5.103, 5.105, 5.109, 5.113, 5.120 |
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Chapter 6 Section 6.1, 6.2 | 6.1, 6.3, 6.5, 6.7, 6.8, 6.9, 6.14, 6.15, 6.17 |
| . | Chapter 6 Section 6.3. | 6.19, 6.21 |
| . | Chapter 6 Sections 6.4 | 6.27, 6.29, 6.32 |
| . | Chapter 6 Sections 6.5 | 6.33, 6.35 |
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Chapter 6 Review | 6.37, 6.39, 6.47, 6.49, 6.55, 6.60, 6.61, 6.63, 6.65, 6.71, 6.73, 6.77, 6.81, 6.83 |
| . | Chapter 7 Sections 7.1-7.2 | 7.1, 7.2, 7.5, 7.7 |
| . | Chapter 7 Sections 7.3-7.4 | 7.13,7.15, 7.17,7.19,7.20, 7.21 |
| . | . | 7.27,7.29, 7.41, 7.43 |
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Chapter 11 Sections 11.1-11.3. | 11.1-11.4, 11.7, 11.9, 11.11, 11.19 |
| . | Chapter 11 Sections 11.3-11.4 | 11.29, 11.31-11.34, 11.39, 11.42, 11.43, 11.44, 11.45 |
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Chapter 11 Sections 11.5, 11.7 (Skip Section 11.6) | 11.53, 11.59, 11.61 |
| . | I will cover residual analysis (that you will see again in Chapter 13 for the multiple regression case) via notes I will handout. Read Section 11.1 (parts on transformations pp.535-538). I will handout additional material on transformations. | . |
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Chapter 12 Sections 12.1-12.2 (Look at examples of multiple regression models ; defintions of first order model, cross product term, partial slopes, additive effects, dummy variables, general linear model) | 12.1, 12.2, 12.3, 12.6 |
| . | Chapter 12 Sections 12.9 and 12.3.( More on matrix formulas are included in my notes on Ch.12) | 12.7, 12.9, 12.11 |
| . | Chapter 12 Section 12.4. | 12.14-12.16, 12.17, 12.21 |
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Chapter 12 Section 12.5. | 12.22-12.25, 12.28 |
| . | Chapter 12 Section 12.6 lightly. (we will not specifically cover this section in class as we have seen in Example 12.5 how to obtain confidence intervals for the mean and prediction intervals in SAS program.) | Suppl. Exercises 12.35-12.37, 12.41, 12.43, 12.63 |
| . | Chapter 12 Section 12.7. Follow the SAS program and output for Example 12.5 on how to obatin predictions and intervals asociated with them. we wil skip Section 12.8. | . |
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Read the entire note on Chapter 13. We will quickly go through the material in this Chapter by looking at SAS examples. | . |
| . | Chapter 13, Example 13.3 and the accompanying SAS program that will be handed out. | . |
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Chapter 8 Sections 8.1- 8.3. | 8.2 |
| . | Chapter 8 Sections 8.4- 8.5. | 8.3-8.5 (Need to run SAS programs)Suppl. Exercises 8.22, 8.24 |
| . | Chapter 8 Sections 9.1- 9.3. | 9.1-9.5 Suppl. Execrcises 9.7, 9.8a,b, 9.11, 9.12 |
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