Stat 205: Elementary Statistics for the Biological and Life Sciences

Spring 2015

Textbook: Samuels, M. L., and Witmer, J. A. & Schaffner, A. (2010). Statistics for the Life Sciences, 4th Ed.

Instructor: Peijie Hou
Office: LeConte 209E
Email: houp@email.sc.edu

Grader: Joseph Grotheer
Email: grotheej@email.sc.edu

Class meetings: TR 8:30AM - 9:45AM WMBB Nursing 127
Office hour: T/W/TH 10AM - 11:30AM or by appointment


Course Schedule
Notice: Homework questions from the textbook will not be collected or graded. Collected homework are labelled as "Homework #".

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.
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 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 5 with solution due Tues. Mar. 17.
Thur, Mar 5 Lecture 15: 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.
Tues, Mar 10 Spring Break (no class). --
Thur, Mar 12 Spring Break (no class). --
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
Tues, April 28 Final week: no class.
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!

Important Dates:

Date
January 12, Mon. Classes begin
January 20, Tuess. Last day to drop/add without W
February 17, Tuess. Exam I
March 5, Thurs. Last day to withdraw without WF
March 8-15, Sun.-Sun. Spring break - no classes
March 31, Tues. Exam II
April 16, Thurs. Awards day
April 27, Mon. Last day of classes
April 30, Thurs, 9AM. Exam III