Schedule

The schedule below is a record of what we have actually done as well as a rolling estimate for what we will do. Assignments, worksheets, and exams will be posted here after they are distributed in class. Problem numbers for assignments will refer to the 8th edition of the textbook. Students with the 7th edition should determine the correct numbers for their edition.

• Week 1
  • 1/17: 9.1,2 Introduction to game theory and a general introduction.
  • 1/19: 9.3,4,5 Decision criteria.
• Week 2
  • 1/22: 9.6 Bayes criterion and a worksheet.
  • 1/24: Wrap up games (and try to make sense of #5 on the worksheet).
  • 1/26: 10.1-3. Homework due today: Chapter 9 problems 2, 5, 13, 14b, 15c, 23, 26.
• Week 3
  • 1/29: A worksheet on estimators. Solve problems 1-5 for Wednesday.
  • 1/31: 10.7,8 Finding estimators.
  • 2/2: 10.8,9 Maximum likelihood and Bayesian estimation.
• Week 4
  • 2/5: 10.8,9 worksheet. Some R code and a barplot related to the question of 2-yolked eggs.
  • 2/7: Homework due today: Chapter 10 problems 6, 13, 15, 35, 50, 52, 55, 59, 61; also homework 1 from the last worksheet. More on the Cramér-Rao inequality.
  • 2/9: 11.1,4 Estimation on means and proportions. A barplot for worksheet 3 problem 3.
• Week 5
  • 2/12: 11.2,4
  • 2/14: 11.3,5,6. Exam 1 distributed (due Tuesday, 2/20).
  • 2/16: Student's t distribution. A worksheet.
• Week 6
  • 2/21: Intro to hypothesis tests
  • 2/23: 12.1,2 Hypothesis tests
• Week 7
  • 2/26: Introduction to R. Bring your laptop and your questions to class. Before class:
    • Download and install R.
    • Download and install RStudio (optional but recommended).
    • Run RStudio (or R). You should get a prompt >
    • Enter your height data (replacing #1, #2, etc. with actual heights): > heights = c(#1, #2, #3, #4, #5)
    • Check for normality: > qqnorm(heights)
    • Run a t test: > t.test(heights, mu=66)
  • 2/28: 12.3,4
  • 3/2: 12.5-6. A discussion of Feeling the Future (for some analysis, see Science-Based Medicine).
• Week 8
  • 3/5: Hypothesis tests.
  • 3/7: A worksheet. Homework due today: Ch. 12 problems 6, 7, 21, 30, 33, 39, 44, and the power function problem.
  • 3/9: Working with exam scores in R.
• Spring Break
• Week 9
  • 3/19: Finish chapter 13.
  • 3/21: Keep finishing chapter 13.
  • 3/23: 14.1,2.
• Week 10
  • 3/26: Regression in R. Homework due today: Ch. 13 problems 12, 13, 19, 20, (25, 26), (30, 31, 32), 34, (38, 39), 48, 59, 63, 68, 76.
  • 3/28: Regression and R
• Week 11
  • 4/4: 14.4 Normal Regression Analysis.
  • 4/6: 14.5 Normal Correlation Analysis. Final project proposal due.
• Week 12
  • 4/9: 14.5 (more on correlation tests in R). Correlation vs. causation.
  • 4/11: Discuss R HW 1, 14.6-8. R HW 1 due today.
  • 4/13: 15.1-2.
• Week 13
  • 4/16: 15.2-3. Read section 14.8.
  • 4/18: Wrap 15.2-3. Bring computers for more R work.
  • 4/20: 15.4-6. A factorial experiment and a nice summary of how ANOVA and a Duncan multiple-range test work.
• Week 14
  • 4/23: Start Ch. 16. Homework due today: Ch. 14 problems 31, 65, 66, 80, 83, 98 (use R).
  • 4/25: 16.2,3. Spearman's Rank Correlation (in R).
  • 4/27: Final project outline/preliminary analysis due. Take home exam (no class).
• Week 15
  • 4/30: Final project discussion.
  • 5/2: 16.4,5. Non-parametric tests in R.
  • 5/4: Statistics Done Wrong.
• Finals week
  • Office hours: 1-2:30 Monday, 3:30-5 Tuesday, 10-11 Wednesday.
  • Final project discussions: 8:00 Thursday, May 10. Final project due today.

Resources

• Final project description and rubric
• Syllabus
• Virtual Laboratories in Probability and Statistics
• 2016 edition of the class
• 2014 edition of the class
• Final exam schedule
• Academic calendar
• WolframAlpha
• Free intro to R (login required)
• Local R resources

Office hours

• Monday 1:30-2:30
• Tuesday 10:00-11:00 in the Math Lab
• Wednesday 1:30-2:30
• Thursday 10:00-11:00
• or by appointment

Logan Axon
Department of Mathematics
MSC 2615
Gonzaga University
Spokane, WA 99258
Office: Herak 307A
Phone: 509.313.3897
Email: axon@gonzaga.edu

Last updated 5/3/18