Fall 2017 Stat 205 Homepage

Stat 205-H02
Fall 2017

Elementary Statistics for the Biological and Life Sciences

Instructor: Tim Hanson Office: LeConte 219C

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

Dr. Hanson's office Hours: Tuesday/Thursday 10am-11am and by appointment. Textbook: Samuels, M.L., Witmer, J.A., and Schaffner, A.A. (2012). Statistics for the Life Sciences, 4th Ed.

Topics Covered:

 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 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 4 due Tues. Oct. 3. Thur., Sep. 28 Lecture 13: Hypothesis tests of H0: μ1-μ2=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 p1-p2, relative risk, odds ratio, and case-control studies. 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. --