Section A: Does This Predict That?
Lesson 1: Organizing Data
Let’s find ways to show patterns in data.
Lesson 2: Plotting Data
Let’s collect and display some data about the class.
Section B: Associations in Numerical Data
Lesson 3: What a Point in a Scatter Plot Means
Let’s investigate points in scatter plots.
Lesson 4: Fitting a Line to Data
Let’s look at the scatter plots as a whole.
Lesson 5: Describing Trends in Scatter Plots
Let’s look for associations between variables.
Lesson 6: The Slope of a Fitted Line
Let’s look at how changing one variable changes another.
Lesson 7: Observing More Patterns in Scatter Plots
Let’s look for other patterns in data.
Lesson 8: Analyzing Bivariate Data
Let’s analyze data like a pro.
Section C: Associations in Categorical Data
Lesson 9: Looking for Associations
Let’s look for associations in data.
Lesson 10: Using Data Displays to Find Associations
Let’s use data displays to find associations.
Lesson 11: Keeping Track of All Possible Outcomes
Let’s explore sample spaces for experiments with multiple parts.
Lesson 12: Multi-Step Experiments
Let’s look at probabilities of experiments that have multiple steps.
Lesson 13: Designing Simulations
Let’s simulate some real-life scenarios.
Section D: Let’s Put It to Work
Lesson 14: Gone in 30 Seconds
Let’s gather and analyze some timing data.