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Schedule

  • Spring and Fall Semesters: 16 weeks
  • Summer Semester: 12 weeks

Note: All due dates reflect North American eastern time (ET).

Module 1: Collecting and Describing Data

Lesson 1: Decision-Making Under Uncertainty
Lesson 1
Readings:

Textbook

  • Chapter 1
    • Section 1.1: Defining Variables
    • Section 1.2: Collecting Data
  • Chapter 2
    • Section 2.2: Organizing Numerical Variables
    • Section 2.4: Visualizing Numerical Variables
    • Section 2.7: The Challenge in Organizing and Visualizing Variables
  • Chapter 3
    • Section 3.1: Central Tendency
    • Section 3.2: Variation and Shape
    • Section 3.4: Numerical Descriptive Measures of a Population
Assignments:
  • Introductory Discussion (by Thursday)
  • Team Project: Group Formation (by Thursday)
  • Problem Set: Lesson 1
  • Quiz: Lesson 1
  • Team Project 1: Lesson 1 Component: Describing Data
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Lesson 2: Distributions
Lesson 2
Readings:

Textbook

  • Chapter 3
    • Section 3.2: Z-Scores
    • Section 3.4: The Empirical Rule
  • Chapter 6
    • Section 6.2: The Normal Distribution
Assignments:
  • Problem Set: Lesson 2
  • Quiz: Lesson 2 
  • Team Project 1: Lesson 2 Component: Distribution
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 

Module 2: Statistical Inference: Hypothesis Testing

Lesson 3: Quantifying Uncertainty
Lesson 3
Readings:

Textbook

  • Chapter 7
    • Section 7.1: Sampling Distributions
    • Section 7.2: Sampling Distribution of the Mean
  • Chapter 8
    • Section 8.1: Confidence Interval Estimate for the Mean
    • Section 8.4: Determining Sample Size
      • Sample Size Determination for the Mean
Assignments:
  • Problem Set: Lesson 3
  • Quiz: Lesson 3
  • Team Project 1: Lesson 3 Component: Confidence Interval
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Lesson 4: Hypothesis Testing
Lesson 4
Readings:

Textbook

  • Chapter 9
    • Section 9.1: Fundamentals of Hypothesis Testing Methodology
    • Section 9.3: One-Tail Tests
  • Chapter 10
    • Section 10.1 Comparing the Means of Two Independent Populations
Assignments:
  • Problem Set: Lesson 4
  • Quiz: Lesson 4
  • Team Project 1: Lesson 4 Component: Hypothesis Test
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Team Project 1 and Exam 1
Team Project 1 and Exam 1
Readings:

Textbook

  • None
Assignments:
  • Team Project 1: Consultation (Optional) Must submit 24 hours before scheduled meeting time
  • Team Project 1: Turnitin Report
  • Team Project 1
  • Peer Evaluation for Team Project 1
  • Exam 1
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 

Module 3: Describing Relations: Regression

Lesson 5: Regression I
Lesson 5
Readings:

Textbook

  • Chapter 13
    • Section 13.1: Types of Regression Model
    • Section 13.2: Determining the Simple Linear Regression Equation
    • Section 13.4: Assumptions of Regression
    • Section 13.7: Inferences about the Slope and the Correlation Coefficient
  • Chapter 14
    • Section 14.1: Developing a Multiple Regression Model
Assignments:
  • Problem Set: Lesson 5
  • Quiz: Lesson 5
  • Team Project 2: Lesson 5 Component: Correlation
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Lesson 6: Regression II
Lesson 6
Readings:

Textbook

  • Chapter 14
    • Section 14.2: r-Square, adjusted R-Square, and the overall F-test
    • Section 14.4; Inferences Concerning the Population Regression Coefficients
Assignments:
  • Problem Set: Lesson 6
  • Quiz: Lesson 6
  • Team Project 2: Lesson 6 Component: Initial Regression
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Lesson 7: Regression III
Lesson 7
Readings:

Textbook

  • Chapter 14
    • Section 14.6: Using Dummy Variables and Interaction Terms in Regression Models
  • Chapter 15
    • Section 15.3: Collinearity
    • Section 15.4: Model Building
Assignments:
  • Problem Set: Lesson 7
  • Quiz: Lesson 7
  • Team Project 2: Lesson 7 Component: Categorical Variable and Interaction
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)

Team Project 2 and Exam 2
Team Project 2 and Exam 2
Readings:

Textbook

  • None
Assignments:
  • Team Project 2: Consultation (Optional) Must submit 24 hours before scheduled meeting time
  • Team Project 2: Turnitin Report
  • Team Project 2
  • Peer Evaluation for Team Project 2
  • Exam 2
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 

Module 4: Experiments

Lesson 8: One-Way Analysis of Variance (ANOVA)
Lesson 8
Readings:

Textbook

  • Chapter 11
    • Section 11.1: The Completely Randomized Design: One-Way ANOVA
Assignments:
  • Problem Set: Lesson 8
  • Quiz: Lesson 8
  • Team Project 3: Lesson 8 Component: ANOVA
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Lesson 9: Design of Experiments
Lesson 9
Readings:

Textbook

  • Chapter 11
    • Section 11.2: The Factorial Design: Two-Way ANOVA

Harvard Business Review

Assignments:
  • Problem Set: Lesson 9
  • Quiz: Lesson 9
  • Team Project 3: Lesson 9 Component: Two-Factor ANOVA and Design of Experiments
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 

Module 5: Describing Relationships Between Categorical Variables

Lesson 10: Chi-Square Tests
Lesson 10
Readings:

Textbook

  • Chapter 4
    • Section 4.1: Basic Probability Concepts
    • Section 4.2: Conditional Probability
  • Chapter 12
    • Section 12.1: Chi-Square Test for the difference between two proportions
    • Section 12.2: Chi-Square Test for the differences among more than one proportion
    • Section 12.3 Chi-Square Test of Independence
Assignments:
  • Problem Set: Lesson 10
  • Quiz: Lesson 10
  • Team Project 3: Lesson 10 Component: Chi-Square Test
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)
 
Team Project 3 and Final Exam
Team Project 3 and Final Exam
Readings:

Textbook

  • None
Assignments:
  • Team Project 3: Consultation (Optional) Must submit 24 hours before scheduled meeting time
  • Team Project 3: Turnitin Report
  • Team Project 3
  • Peer Evaluation for Team Project 3
  • Final Exam
Zoom (Synchronous) Meeting:
  • 7:00 p.m. (optional)

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