Moodle, Syllabus
Week # 
Date 
Assignment 

1 
January 17 
Do this PreCourse Assignment Course (after getting my "Welcome" email). Introduction and Overview Chapter 1: What is Statistics, Read entire chapter. Course Objectives: 
2 
January 23 
Decision Analysis and Decision Trees. Supplemental Readings: Lind Ch20 (from 18 Ed.) (PDF), Bertsimas Ch.1 §13 (PDF) Tableau (Optional): Getting Started Course Objectives: 
3 
January 31 
Chapter 5: Probability Concepts, and Counting. Read chapter, skip Contingency Tables, and Baye's Theorem. Tableau (Optional): Replication of M&M Charts Course Objectives: 
4  February 7 
Chapter 6: Discrete Probability Distributions. Read chapter, skip Hypergeometric and Poisson Probability Distributions. Tableau (Optional): Box Plots Course Objectives: 
5 
February 14 
Chapter 7: Continuous Probability Distributions. Read chapter, skip Normal Approximation to the Binomial (17th. ed. and earlier,) and The Family of Exponential Distributions (18th ed.) Tableau (Optional): NonExcel visualizations Course Objectives: 
6 
February 21 
Chapter 8: Sampling Methods. Read entire chapter. Chapter 9: Estimating the Population Mean, and Confidence Intervals. Read chapter. Skip Confidence Level for a Proportion, and FinitePopulation Correction Factor. Tableau (Optional): Clustered Charts Course Objectives: 
6 

Exam 1, Weeks 15. This exam will be administered "online." It is available from 2/19 to 2/25. Let Dr. Jerz know if you need it a little earlier or later. 
7 
February 28 
Chapter 10: OneSample Tests. Read chapter, skip Tests Concerning Proportions, Type II Error. Tableau (Optional): Cleaning data and working with named ranges Course Objectives: 
8 
March 7 
Chapter 13: Simple Linear Regression and Correlation. Read chapter, skip Transforming Data. Tableau (Optional): Scatter Diagrams Course Objectives: 
March 14  Spring Break  No class  
9 
March 21 
Chapter 14: Multiple Regression. Read chapter, skip Stepwise Regression. Tableau (Optional): Regression Analysis Course Objectives: 
10 
March 28 
Optimizations and Simulation. Supplemental Readings: Stevenson Chapter 19 Linear Programming (PDF), Bertsimas Chapter 5 Simulation Modeling (PDF), and Transportation Models (PDF  Heizer). Tableau (Optional): Multiple Regression Analysis Course Objectives: 
11 
April 4 
Exam 2, Weeks 610. This exam will be administered "online." The exam will be available from 4/2 to 4/8. Tableau (Optional): Sharing Your Visualizations 