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 . 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 μ12. 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: μ12=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. --