top of page

Chapter 6: Understanding Uncertainty, Probability, and Variability

Learning Objectives

•Characterize the connections between variability, uncertainty, predictability, and probability.

•Explain the foundational terminology used in probability.

•Simulate random trials to estimate probabilities.

•Explain common fallacies related to probability.

•Explain the role of probability in sampling methods.

Google Drive For Chapter 6 Review Questions

Google Drive For Chapter 6 "Try It Yourself" Python Notebooks

Google Drive For Chapter 6 Data Sets

Section 6.1: Variability and Uncertainty

Try It Yourself: Assess Variability in Histograms

Try It Yourself: Relate Variability to Uncertainty and Predictability

Try It Yourself: Estimating Likelihood of Values in Data

Try It Yourself: Predictability from Histograms

Try It Yourself: Predictability with Two Variables

Section 6.2: Probability

Try It Yourself: Describe Outcomes in a Sample Space

Try It Yourself: Values of Variables as Sample Spaces

Section 6.3: Sampling Methods

Try It Yourself: Estimation from Different Sampling Methods

Section 6.4: Simulation

Try It Yourself: Simulate Flipping a Loaded Coin

Try It Yourself: Simulate Samples

Section 6.5: Working with Probabilities and Common Fallacies

bottom of page