Schedule

The schedule below is a record of what we have actually done as well as an approximate projection of what we will do. Course materials will be posted here and distributed in class. WeBWorK assignments will be posted as they are assigned. Suggested exercises for each section are odd only (unless otherwise specified).

• Week 1
  • 8/28: Discuss the syllabus, first R project, and 1.1-5 Basic statistical concepts. Some data visualizations:
    • Women in Parliament
    • Mass shootings in America
    • Immigration and crime
    • Meteorites
    • Who marries whom?
  • 8/30: 1.5-10 More basic statistical concepts and another R project.
• Week 2
  • 9/4: 2.1,2 Intro to probability, sample spaces, events, and set operations. Recommended exercises in 2.2: 1, 5, 7.
  • 9/6: 2.3,4 Equally-likely outcomes and axioms of probability. A worksheet. Recommended exercises:
    • 2.3: 3, 5, 7, 9, 11, 15, 18
    • 2.4: 1, 5, 9, 11
• Week 3
  • 9/9: 2.3-6 More on counting, and beginning conditional probability and independent events. Recommended exercises:
    • 2.5: 1, 3, 5, 7, 9
    • 2.6: 1, 7, 9
  • 9/11: A summary and a worksheet. Some recent commentary about statistics:
    • What statistics can and can't tell us about ourselves in the New Yorker
    • p-hacking
  • 9/13: Wrap up chapter 2. WeBWorK HW01 due at 6:00 PM today.
• Week 4
  • 9/16: Really wrap up chapter 2 (Bayes' Law and independence).
  • 9/18: 3.1-3 Random variables and probability distributions.
  • 9/20: 3.4 Models for discreet random variables. WeBWorK HW02 due at 6:00 PM today tomorrow.
• Week 5
  • 9/23: 3.5 Models for continuous random variables. A worksheet. Suggested problems:
    • Section 3.2: 1, 3, 5, 9
    • Section 3.3: 3a, 7a
  • 9/25: Review.
    • A summary of the material so far.
    • An old exam and a review guide for it.
    • WeBWorK HW03 due at 6:00 PM tomorrow (Thursday) Friday.
  • 9/27: Exam on chapters 1-3. Formulas for Exam 1.
• Week 6
  • 9/30: More models for random variables (discrete and continuous).
  • 10/2: More models for random variables.
  • 10/4: 5.2,4 The law of large numbers and the Central Limit Theorem. WeBWorK HW04 due at 6:00 PM today.
• Week 7
  • 10/7: More on the Central Limit Theorem. Recommended exercises in 5.4: 3-9 odd.
  • 10/9: 7.1,2 Introduction to confidence intervals. A worksheet and some work with R.
  • 10/11: 7.3 Types of confidence intervals.
• Week 8
  • 10/14: A discussion of estimators (chapter 6). WeBWorK HW05 due at 6:00 PM today.
  • 10/16: Finish point estimation.
  • 10/18: 7.3,4,5 More confidence intervals, and prediction intervals. A worksheet.
• Week 9
  • 10/23: Review. WeBWorK HW06 due at 6:00 PM today.
  • 10/25: Exam on sections: 5.2,4; 6.2,4; 7.all; 9.2. Recommended exercises:
    • 7.3: 1, 3, 7a, 9, 11
    • 7.4: 1, 3
    • 7.5: 1, 3
    • 9.2: 1c, 3c, 5c, 7b
• Week 10
  • 10/28: 8.1,2 Intro to hypothesis tests.
  • 10/30: 8.2 Hypothesis test procedures. A worksheet.
  • 11/1: 8.3 More hypothesis tests. Turn in the worksheet. R project 4.
• Week 11
  • 11/4: Discuss R project 4 and the reading (sent in an email). Bonus questions. Explanation and a solution.
  • 11/6: More hypothesis tests (still 8.3, intro to chi-squared and F distributions). WeBWorK HW07 due at 6:00 PM today Friday.
  • 11/8: Chi-square hypothesis tests. Suggested exercises on hypothesis testing:
    • 8.2: 3, 5
    • 8.3: 1-11 odd
    • 8.4: 1, 3, 7
• Week 12
  • 11/11: 4.1,2,3 Jointly distributed random variables and conditional distributions. Suggested exercises:
    • 4.2: 1-5, 7 (#7 requires multiple integrals)
    • 4.3: 1, 3
  • 11/13: 4.5,6 Intro to regression and regression models.
  • 11/15: 6.3.3 Least squares and 8.3.3 T tests about regression parameters. Suggested exercises: 6.3 #11 and 8.3 #10.
• Week 13
  • 11/18: 8.3 Hypothesis tests for (linear) regression and R project 5. WeBWorK HW08 due at 6:00 PM today.
  • 11/20: Discuss and turn in R project 5.
  • 11/22: Regression wrap up. WeBWorK HW09 due at 6:00 PM today.Take-home exam 3 distributed.
• Week 14 (Thanksgiving)
  • 11/25: 9 Comparing 2 populations (non-parametric).Take-home exam 3 due.
• Week 15
  • 12/2: Review. 2016 Final in class portion and take home portion.
  • 12/4: 10 Comparing K>2 populations and review.
  • 12/6: Review.
• Finals Week
  • Finals week office hours:
    • 12/9: 3-4 in Herak 301 (mostly for Calc III)
    • 12/10: 10:30-12:00 (or by appointment)
    • 12/11: 10:30-12:00 (or by appointment)
  • 12/11: 8-10 Final Exam for the 9:00 section.
  • 12/12: 1-3 Final Exam for the 1:10 section.

Course resources

• Syllabus
• R projects
• WeBWorK
• Exam 1 review (with formulas)
• Exam 2 review (with formulas)
• Z table
• t critical values
• Special discrete distributions
• Special continuous distributions
• Hypothesis tests
• Linear regression
• Final formulas

Links

• Dr. Stover's 321
• Math 321 Spring 2016
• Math 321 Spring 2011
• Academic Calendar
• Final Exam Schedule
• WolframAlpha
• Khan Academy
• Desmos
• RStudio Cloud
• Virtual Laboratories in Probability and Statistics

Office hours

• Monday 2:15-3:15
• Wednesday 2:15-3:15
• Thursday 1-2 in the Math Lab (Herak 224)
• Friday 10-11
• 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 12/9/2019