Chapter 23 ISCAM Chapter 5 Intro
COMPARING SEVERAL POPULATIONS, EXPLORING RELATIONSHIPS
The idea of comparisons has been a recurring theme throughout this course. In previous chapters, you were limited to exploring only one or two groups at a time. In this chapter, you extend those ideas to multiple groups and to relationships between variables.
Section 1: Two Categorical Variables
Investigation 5.1: Dr. Spock’s Trial - Chi-squared test for homogeneity of proportions
Investigation 5.1A: Newspaper Credibility Decline - Comparing distributions
Investigation 5.2: A moral tale - Randomized experiment
Investigation 5.3: Nightlights and Near sightedness (cont.) - Chi-squared test for association
Section 2: Comparing Several Population Means
Investigation 5.4: Disability discrimination - Reasoning of ANOVA
Investigation 5.5: Restaurant spending and music - ANOVA practice
Section 3: Two Quantitative Variables
Investigation 5.6: Cat jumping - Scatterplots
Investigation 5.7: Drive for show, putt for dough - Correlation coefficient
Investigation 5.8: Height and foot size - Least Squares Regression
Investigation 5.9: Money-making movies - Application
Section 4: Inference for Regression
Investigation 5.10: Running out of time - Inference for Regression (sampling)
Investigation 5.11: Running out of time (cont.) - Inference for Regression (shuffling)
Investigation 5.12: Boys’ heights - Regression model
Investigation 5.13: Cat jumping (cont.) - Confidence Intervals for Regression
Investigation 5.14: Housing prices - Transformations
Examples
[cross-reference to target(s) "eoc-example-5-1" missing or not unique]
[cross-reference to target(s) "eoc-example-5-2" missing or not unique]
[cross-reference to target(s) "eoc-example-5-3" missing or not unique]
[cross-reference to target(s) "eoc-example-5-4" missing or not unique]
Chapter 5 Summary
