Date |
Topics |
Homework |
Tues, Jan 13 |
Lecture 1: Syllabus; statistics, random sampling, R introduction, Section 1.1, 1.3. |
MAO data; R tutorial |
Thur, Jan 15 |
Lecture 2: Variables, frequency distributions. Sections 2.1, 2.2 |
2.1.1, 2.1.2, 2.1.4; 2.2.3, 2.2.4 (use R). data to be read into R. |
Tues, Jan 20 |
Lecture 3: Measures of center, boxplots. Sections 2.3, 2.4 |
2.3.3 (use R), 2.3.5, 2.3.6, 2.3.7, 2.3.11, 2.4.2 (use R), 2.4.7. Homework 1 with solution due Jan. 27. |
Thur, Jan 22 |
Lecture 4:Relationships between variables, measures of spread. Sections 2.5, 2.6 |
2.5.2 (use R; here's code), 2.5.3(a) (use R, describe the relationship), 2.6.5(a) (by hand), 2.6.11, 2.6.12. |
Tues, Jan 27 |
Lecture 5:Statistical inference, introduction to probability, probability rules. Sections 2.8, 3.2, 3.3 |
2.S.7, 2.S.17, 2.S.19, 2.S.20, 3.2.1. Selected textbook homework solutions for Chapter 2. |
Thur, Jan 29 |
Lecture 6:Probability rules cont'd. Sections 3.3, 3.2. |
3.2.3, 3.2.4, 3.2.5, 3.2.7, 3.3.1, 3.3.2, 3.3.3, 3.3.4. Homework 2 with solution, due Thursday Feb. 5. |
Tues, Feb 3 |
Lecture 7:Continuous and discrete random variables. Sections 3.4, 3.5. |
3.4.2, 3.4.3, 3.5.4, 3.5.5, 3.5.7. |
Thur, Feb 5 |
Lecture 8:Binomial and normal random variables. Sections 3.6, 4.1, 4.2. |
3.6.1, 3.6.2, 3.6.6, 3.6.10 (use R for all of these). Homework 3 with solution, due Thursday. Feb. 12. Selected textbook homework solutions for Chapter 3. |
Tues, Feb 10 |
Lecture 9: Finding normal probabilities and percentiles; normal probability plots. Sections 4.3, 4.4. |
4.3.3, 4.3.5, 4.3.6, 4.3.8 (use both R and tables for all of these ). Selected textbook homework solutions for Chapter 4. Some R codes to play around. |
Thur, Feb 12 |
Lecture 10: Chapter 5 and brief review for Exam I. |
Redo all previous homework. |
Tues, Feb 17 |
Exam I. Closed book, closed notes. Bring a calculator. |
Exam I seat assignment. Please note: Row A is closest to the whiteboard. Row G is closest to the door. Numbers can be found on the chair cushion. |
Thur, Feb 19 |
Lecture 11: review of exam I. |
5.2.6, 5.2.7 (for chapter 5). Homework 4 with solution, due Thursday. Feb. 26. |
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Tues, Feb 24 |
Lecture 12: Confidence interval for population mean. Sections 6.2, 6.3. |
Read textbook chapter 6.2, 6.3. |
Thur, Feb 26 |
Lecture 13: Confidence interval for population mean cont'd. Sections 6.2, 6.3. |
6.3.4, 6.3.5 (use R for both). Selected textbook homework solutions for Chapter 6. |
Tues, Mar 3 |
Lecture 14: Confidence interval for μ1-μ2. Sections 6.5, 6.6. |
6.7.11, 6.7.12, 6.7.13, 6.7.14 (use R for all of these). Chapter 6 data for R. Homework 5 with solution due Tues. Mar. 17. |
Thur, Mar 5 |
Lecture 15: Hypothesis tests of H0: μ1-μ2=0. Sections 7.2 and 7.1. |
7.2.3(a,b), 7.2.4(a,b), 7.2.9 (use R), 7.2.10 (use R), 7.2.11 (use R), 7.2.14, 7.2.17 (use R). Chapter 7 data for R. |
Tues, Mar 10 |
Spring Break (no class). |
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Thur, Mar 12 |
Spring Break (no class). |
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Tues, Mar 17 |
Lecture 16: Practice exam (chap5-7.2) and solution. |
Solution will be posted after the exam. Note: you do not need to turn in the exam, open-book, open-notes. |
Thur, Mar 19 |
Lecture 17: More on hypothesis testing, association vs. causation. Sections 7.3, 7.4 and 7.9. |
7.3.4, 7.3.5, 7.3.6, 7.3.7, 7.4.1, 7.9.1. |
Tues, Mar 24 |
Lecture 18: One-sided tests, sample size planning, Wilcoxin Mann Whitney test. Sections 7.5, 7.7, and 7.10. |
7.5.6, 7.5.13, 7.7.1, 7.7.3(a), 7.10.3, 7.10.4, 7.10.6(a,b,c). Use R for all problems. Selected textbook homework solutions for Chapter 7. Homework 6 with solution, due April, 2. |
Thur, Mar 26 |
Lecture 19: Paired observations, the sign test. Sections 8.2 and 8.4. Review notes for Exam II. |
8.2.1(b), 8.2.4, 8.2.6, 8.4.5, 8.4.6(a). Use R for all problems. Chapter 8 data for R. Selected textbook homework solutions for Chapter 8. |
Tues, Mar 31 |
Exam II. Bring a calculator. Bring one page (both sides) of formula sheet. |
Exam II seat assignment. Please note: Row A is closest to the whiteboard. Row G is closest to the door. Numbers can be found on the chair cushion. |
Thur, April 2 |
Lecture 20: Confidence interval for population proportion p, Chi-square test. Sections 9.2 and 9.4. |
Dichotomous: 9.2.4, 9.2.5(a,b), 9.2.6, 9.4.4, 9.4.7. More than two categories 9.4.1, 9.4.3, 9.4.10. Use R for all problems. Selected textbook homework solutions for Chapter 9. Homework 7 with solution, due April, 9. |
Tues, April 7 |
Lecture 21: Chapter 10 Contingency Tables I. Chi-square test for independence, Confidence interval for p1-p2. |
10.2.4, 10.2.5, 10.2.6, 10.2.12, 10.2.14; use fisher.test in R. 10.7.1, 10.7.3; use prop.test in R. |
Thur, April 9 |
Lecture 22: Chapter 10 Contingency Tables II. Relative risk, odds ratio. |
10.5.2(a), 10.5.4(a), 10.5.7; use chisq.test in R. 10.9.3, 10.9.4, 10.9.5, 10.9.6; use fisher.test in R. Selected textbook homework solutions for Chapter 10. |
Tues, April 14 |
Lecture 23: Analysis of variance. |
Chapter 11 data for R. Optional homework 8, due April, 23. |
Thur, April 16 |
Lecture 24: Correlation and linear regression. |
12.2.5, 12.2.7, 12.3.1, 12.3.3, 12.3.5, 12.3.7, 12.3.8. Use R for all problems; i.e. don't do anything by hand. Chapter 12 data for R. |
Tues, April 21 |
Lecture 25: lecture 24 cont'd. |
Selected textbook homework solutions for Chapter 12. |
Thur, April 23 |
Lecture 26: Review |
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Tues, April 28 |
Final week: no class. |
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Thur, April 30 |
Exam III. Bring a calculator. Bring one page (both sides) of formula sheet. |
Exam III seat assignment . Please note: students sit next to you must have a different test color. Exchange of seats without permission is strictly prohibited! |