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Fall 2017

**Class Meetings:
Tuesday/Thursday 1:15pm-2:30pm in Leconte College 201A**

Dr. Hanson's office Hours: Tuesday/Thursday 10am-11am and by appointment.

Date | Topics | Homework |

Thur., Aug. 24 | Lecture 1: Course expectations, statistics, random sampling, introduction to R. Sections 1.1, 1.3, notes. Syllabus. Mendel's data. | -- |

Tues., Aug. 29 | Lecture 2: Variables, frequency distributions. Sections 2.1, 2.2. Breakdown in Biomedical Research. | 2.1.1, 2.1.2, 2.1.4; 2.2.3 (use R). data to be read into R. |

Thur., Aug. 31 | 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 due Sep. 7. |

Tues., Sep. 5 | Lecture 4: Relationships between variables, measures of spread. Sections 2.5, 2.6. Morro Bay report. | 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. |

Thur., Sep. 7 | Lecture 5: Statistical inference, introduction to probability. Sections 2.8, 3.2. Fly experiment in R. | 2.S.7, 2.S.17, 2.S.19, 2.S.20, 3.2.1. Selected textbook homework solutions for Chapter 2. |

Tues., Sep. 12 | Lecture 6: Probability rules. Sections 3.3, 3.2. R code to formally test for multimodality. | 3.2.3, 3.2.4, 3.2.5, 3.2.7, 3.3.1, 3.3.2, 3.3.3, 3.3.4, 3.4.2, 3.4.3, 3.5.4, 3.5.5, 3.5.7. Homework 2, due Tuesday Sep. 19. |

Thur., Sep. 14 | Lecture 7: Continuous and discrete random variables. Sections 3.4, 3.5. 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). Selected textbook homework solutions for Chapter 3. |

Tues., Sep. 19 | Lecture 9: Finding normal probabilities and percentiles; normal probability plots. Sections 4.3, 4.4. | 4.3.3, 4.4.4, 4.3.5, 4.3.6, 4.3.8 (use R for all of these), 4.4.2. Selected textbook homework solutions for Chapter 4. Homework 3 due Tues. Sep. 26. |

Thur., Sep. 21 | Lecture 10: Sampling distribution of Ȳ. Sections 5.1 and 5.2 (briefly). Lecture 11:
Confidence interval for μ. Sections 6.2, 6.3. R code for hours spent on HW example. | 6.3.4, 6.3.5 (use R for both). Selected textbook homework solutions for Chapter 6. |

Tues., Sep. 26 | Lecture 12:
Confidence interval for μ_{1}-μ_{2}. 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 4 due Tues. Oct. 3. |

Thur., Sep. 28 | Lecture 13:
Hypothesis tests of H_{0}: μ_{1}-μ_{2}=0. Sections 7.2 and 7.1. R code comparing exercise across political idealogy. | 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., Oct. 3 | Lecture 14: More on hypothesis testing, association vs. causation. Sections 7.3, 7.4 and 7.9. Article by Young and Karr (2011). | 7.3.4, 7.3.5, 7.3.6, 7.3.7, 7.4.1, 7.9.1. Homework 5, due Oct. 12. |

Thur., Oct. 5 | Review for Midterm. | |

Tues., Oct. 10 | Midterm; bring laptop with internet access! Midterm data. | |

Thur., Oct. 12 | Lectures 15: One-sided tests, sample size planning, Wilcoxin-Mann-Whitney test. Sections 7.5, 7.7, and 7.10. R code illustrating transformations. | 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. |

Tues., Oct. 17 | Lecture 16: Paired observations, the sign test. Sections 8.2 and 8.4. | 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. Homework 6, due Oct. 26. Selected textbook homework solutions for Chapter 8. |

Tues., Oct. 24 | Lecture 17:
Confidence interval for population proportion p, Chi-square test. Sections 9.2 and 9.4. | 9.2.4, 9.2.5(a,b), 9.2.6, 9.4.1, 9.4.3, 9.4.4. Use R for all problems. Selected textbook homework solutions for Chapter 9. |

Thur., Oct. 26 | Lecture 18: Chapter 10 Contingency Tables I. Chi-square test for independence. Data from your survey. | 10.2.4, 10.2.5, 10.2.6, 10.2.12, 10.2.14; use fisher.test in R. 10.5.2(a), 10.5.4(a), 10.5.7; use chisq.test in R. |

Tues., Oct. 31 | Lecture 19: Chapter 10 Contingency Tables II. Confidence interval for p, relative risk, odds ratio, and case-control studies._{1}-p_{2} | 10.7.1, 10.7.3; use prop.test in R. 10.9.3, 10.9.4, 10.9.5, 10.9.6; use fisher.test in R. Homework 7, due Nov. 7. Selected textbook homework solutions for Chapter 10. |

Thur., Nov. 2 | Lecture 20: Contingency Tables III. Simpson's paradox and the Cochran-Mantel-Haenszel test. | -- |

Tues., Nov. 7 | Lecture 21: Analysis of variance. Chapter 11. Following up ANOVA with Tukey's pairwise comparisons. | Homework 8, due Nov. 14. Chapter 11 data for R. |

Thur., Nov. 9 | Lecture 22: correlation and linear regression. Chapter 12. | 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., Nov. 14 | Lecture 23: Linear regression. | 12.4.3, 12.4.6, 12.4.8, 12.4.9, 12.5.1, 12.5.3, 12.5.5, 12.5.9(a). Use R for all problems; i.e. don't do anything by hand. Homework 9, due Nov. 28. Selected textbook homework solutions for Chapter 12. |

Thur., Nov. 16 | Logistic regression, Lecture notes. | -- |

Thur., Nov. 23 | Thanksgiving; no class!!! | -- |

Tues., Nov. 28 | Diagnostic screeing. | -- |

Thur., Nov. 30 | Survival anaylsis. | -- |