Materials

In-class group cases. Every lecture runs an in-class group case, posted on Brightspace with its graded quiz. Your fixed group works that day’s business case together, and then each of you answers the case quiz on Brightspace before class ends: 10 questions, 2 points each, and no file to upload. The lecture slides and the course datasets (.zip) are posted on the Course Brightspace page.

📱 Case 1 · Topics 1–9 (describe, then infer) · Decision: should we roll out ad variant B?

Topic	Slides	Data	Supplementary Materials
T01 · Descriptive Statistics I	Course Brightspace	Course Brightspace	- Video: Hans Rosling’s 200 Countries, 200 Years - Video: What Is Statistics (Crash Course Statistics #1) - Video: Individuals, Variables, and Categorical Data (Khan Academy)
T02 · Descriptive Statistics II	Course Brightspace	Course Brightspace	- Video: Summarizing and Graphing Numerical Data - Video: Mean, Variance, and Standard Deviation (StatQuest) - Video: Z-score Introduction (Khan Academy) - Reading: Exploratory Data Analysis (OpenIntro)
T03 · Probability	Course Brightspace	Course Brightspace	- Video: Addition Rule for Probability (Khan Academy) - Video: An Introduction to Conditional Probability (jbstatistics) - Reading: Probability (OpenIntro)
T04 · Decision Analysis	Course Brightspace	Course Brightspace	- Video: Decision Making Under Uncertainty: Maximax, Maximin, Minimax Regret - Video: Decision Trees and Expected Monetary Value - Video: Bayes’ Theorem, the Geometry of Changing Beliefs (3Blue1Brown) - Reading: Decision Trees and Expected Value (OpenLearn)
T05 · Discrete Probability Distributions	Course Brightspace	Course Brightspace	- Video: Expected Value of a Discrete Random Variable (Khan Academy) - Video: An Introduction to the Binomial Distribution (jbstatistics) - Video: An Introduction to the Poisson Distribution (jbstatistics) - Reading: OpenIntro Statistics (free textbook)
T06 · Continuous Probability Distributions	Course Brightspace	Course Brightspace	- Video: The Normal Distribution (OpenIntro) - Video: Standardizing Normal Variables with Z-scores - Reading: How to Calculate Z-scores (Khan Academy)
T07 · Sampling Distributions & Interval Estimation	Course Brightspace	Course Brightspace	- Video: Point Estimates (OpenIntro) - Video: The Central Limit Theorem (StatQuest) - Video: The t-distribution - Reading: Inference for a Single Mean (OpenIntro)
T08 · Hypothesis Testing I	Course Brightspace	Course Brightspace	- Video: Hypothesis Testing Fundamentals (OpenIntro) - Video: Hypothesis Testing and the Null Hypothesis (StatQuest) - Video: p-values and How to Interpret Them (StatQuest)
T09 · Hypothesis Testing II — Two Populations	Course Brightspace	Course Brightspace	- Video: Two-sample t-test for a Difference of Means (Khan Academy) - Video: Hypotheses for Paired and Two-sample t-tests (Khan Academy) - Video: Test for a Difference in Two Proportions (Khan Academy) - Reading: Inference for Comparing Paired Means (OpenIntro)

🔧 Case 2 · Topics 10–11 (predict) · Decision: which factors lift store sales?

Topic	Slides	Data	Supplementary Materials
T10 · Simple Regression	Course Brightspace	Course Brightspace	- Video: Line Fitting, Residuals, and Correlation (OpenIntro) - Video: Linear Regression (StatQuest) - Reading: Linear Regression with a Single Predictor (OpenIntro)
T11 · Multiple Regression	Course Brightspace	Course Brightspace	- Video: Introduction to Multiple Regression (OpenIntro) - Video: Multiple Regression (StatQuest) - Video: Dummy Variables in Multiple Regression (Brandon Foltz) - Reading: Linear Regression with Multiple Predictors (OpenIntro)

The lecture slides and the course datasets (.zip) (every topic’s file plus each in-class group-case file) are posted on the Course Brightspace page. Supplementary Materials are optional, free videos and readings to reinforce each topic.