Section A: Dot Plots and Histograms
Lesson 1: Representing Data Graphically
Let’s represent data with dot plots and bar graphs.
Lesson 2: Using Dot Plots to Answer Statistical Questions
Let’s use dot plots to describe distributions and answer questions.
Lesson 3: Interpreting Histograms
Let’s explore how histograms represent data sets.
Section B: Measures of Center and Variability
Lesson 4: The Mean
Let’s explore the mean of a data set and what it tells us.
Lesson 5: Variability and MAD
Let’s use mean and MAD to describe and compare distributions.
Lesson 6: The Median
Let’s explore the median of a data set and what it tells us.
Lesson 7: Box Plots and Interquartile Range
Let’s explore how box plots can help us summarize distributions.
Section C: Sampling
Lesson 8: Larger Populations
Let’s compare larger groups.
Lesson 9: What Makes a Good Sample?
Let’s see what makes a good sample.
Lesson 10: Sampling in a Fair Way
Let’s explore ways to get representative samples.
Lesson 11: Estimating Population Measures of Center
Let’s use samples to estimate measures of center for the population.
Lesson 12: More About Sampling Variability
Let’s compare samples from the same population.
Section D: Probabilities of Single Step Events
Lesson 13: What Are Probabilities?
Let’s find out what’s possible.
Lesson 14: Estimating Probabilities Through Repeated Experiments
Let’s do some experimenting.
Lesson 15: Keeping Track of All Possible Outcomes
Let’s explore sample spaces for experiments with multiple parts.
Lesson 16: Multi-Step Experiments
Let’s look at probabilities of experiments that have multiple steps.
Lesson 17: Designing Simulations
Let’s simulate some real-life scenarios.