Fall 2011 Stat 205 Homepage

Stat 205
Fall 2011


Elementary Statistics for the Biological and Life Sciences

Instructor: Tim Hanson Office: LeConte 219C
Instructional Assistant: Sean Wang.

Class Meetings:
Tuesday/Thursday 11-12:15 in Health Sciences 114



Dr. Hanson's office Hours: Tuesday and Thursday 9-10:30am and by appointment.
Sean Wang tutoring center hours: Monday 2:30-4:30pm and Wednesday 10am-noon in LeConte 215A.

Textbook: Samuels, M.L., Witmer, J.A., and Schaffner, A.A. (2011). Statistics for the Life Sciences, 4th Ed.


Topics Covered:

Date Topics Homework
Thursday, Aug. 18 Lecture 1: Course expectations, statistics, random sampling, introduction to R. Sections 1.1, 1.3, notes. Syllabus. --
Tuesday, Aug. 23 Lecture 2: Variables, frequency distributions. Sections 2.1, 2.2 2.1.1, 2.1.2, 2.1.4; 2.2.3 (use R). data to be read into R.
Thursday, Aug. 25 Lecture 3: Measures of center, boxplots. Sections 2.3, 2.4 2.3.4 (use R), 2.4.2 (use R), 2.4.7. Homework 1 due Sept. 1.
Tuesday, Aug. 30 Lecture 4: Relationships between variables, measures of spread. Sections 2.5, 2.62.5.2 (use R), 2.5.3(a) (use R, describe the relationship), 2.6.5 (by hand), 2.6.11, 2.6.12.
Thursday, Sep. 1 Lecture 5: Statistical inference, introduction to probability. Sections 2.8, 3.2. Chapter 2 homework solutions.2.S.7, 2.S.19, 3.2.1.
Tuesday, Sep. 6 Lecture 6: Probability rules. Sections 3.3, 3.2. Chapter 3 homework solutions.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 due Tuesday Sept. 13.
Thursday, Sep. 8 Lecture 7: Continuous and discrete random variables. Sections 3.4, 3.5.3.4.2, 3.4.3, 3.5.4, 3.5.5.
Tuesday, Sep. 13 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 due Tuesday Sept. 20.
Thursday, Sep. 15 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.
Tuesday, Sep. 20 Lecture 10: Sampling distribution of the sample mean; review for Exam I. Sections 5.1, 5.2. Chapter 4 homework solutions.5.2.5.
Tuesday, Sep. 22 Exam I. Closed book, closed notes. Bring a calculator.--
Tuesday, Sep. 28 Lecture 11: Confidence interval for μ. Sections 6.2, 6.3.6.3.4, 6.3.5 (use R for both)
Thursday, Sep. 30 Lecture 12: Confidence interval for μ12. Sections 6.5, 6.6. Chapter 6 homework solutions. 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 Thursday Oct. 6.
Tuesday, Oct. 4 Lecture 13: Hypothesis tests of H0: μ12=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.
Thursday, Oct. 6 Lecture 14: 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.
Tuesday, Oct. 11 Lectures 15 & 16: One-sided tests, sample size planning, Wilcoxin–Mann–Whitney test. Sections 7.5, 7.7, and 7.10. Chapter 7 homework solutions. 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. Homework 5, due Oct. 18.
Thursday, Oct. 13 Lecture 17: Paired observations, the sign test. Sections 8.2 and 8.4. Chapter 8 homework solutions.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.
Tuesday, Oct. 18 Lecture 18: Confidence interval for population proportion p, Chi-square test. Sections 9.2 and 9.4. Chapter 9 homework solutions. 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. Homework 6, due Oct. 25.
Thursday, Oct. 20 Fall Break (no class) --
Tuesday, Oct. 25 Review notes: Review for Exam II--
Thursday, Oct. 27Exam II--
Tuesday, Nov. 1 Lecture 19: Chapter 10 Contingency Tables I. Chi-square test for independence.10.2.4, 10.2.5, 10.2.6, 10.2.9, 10.2.11, 10.2.12, 10.2.14; use fisher.test in R. 10.5.2, 10.5.3, 10.5.4, 10.5.7; use chisq.test in R.
Thursday, Nov. 3 Lecture 20: Chapter 10 Contingency Tables II. Confidence interval for p1-p2, relative risk, odds ratio, and case-control studies.10.7.1, 10.7.2, 10.7.3, 10.7.6; 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. 10.
Tuesday, Nov. 8 Lecture 21: Contingency Tables III. Simpson's paradox and the Cochran-Mantel-Haenszel test.--
Thursday, Nov. 10 Lecture 22: Analysis of variance. Chapter 11. Homework 8, due Nov. 17. Chapter 11 data for R.
Thursday, Nov. 15 Lecture 23: Linear regression I. 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.
Thursday, Nov. 17 Lecture 24: Linear regression II. Chapter 12.12.4.3, 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; don't do anything by hand.
Tuesday, Nov. 22 Logistic regression. Lecture notes.--
Tuesday, Nov. 29 Diagnostic screening. Lecture notes. Take home Final Exam handed out. Final exam regression data. --
Thursday, Dec 1 Survival analysis. Lecture notes.--