Learning Statistics with Real Data Book

Unit 1.	Look Before You Leap
1	Introduction	1
2	Data and Discussion: Population Densities of the 50 States	1
3	Data and Discussion: California Earthquakes	6
4	Data and Discussion: Heights of Students	11
5	Data and Discussion: The Speed of Light	18
Unit 2.	Tasting Chocolate Pudding
1	Introduction	1
2	First Impressions: Are the Experts' Ratings to Be Trusted?	2
3	Confirmation: A Statistical Test	4
4	Optional Discussion: Nonparametric Tests	6
5	Optional Discussion: Using a Block Design to Compare All Six Brands	9
6	More Advanced Methods: Brands Nested Within Types of Pudding	14
Unit 3.	Lead Absorption in Children
1	Introduction	1
2	First Impressions: Graphical Displays of Exposure to Lead	2
3	Confirmation: Is Exposure Statistically Significant?	7
4	Discussion: Are Neighborhood and Age Important?	11
5	Discussion: Are Parental Exposure and Hygiene Important?	16
Unit 4.	Measuring a Person's Height
1	Introduction	1
2	Data Description: Precision of the Height Measurements	2
3	Data Description: Accuracy of the Height Measurements	6
4	Confirmation: Tests and Confidence Intervals	10
5	More Advanced Methods: An Analysis of Variance	14
Unit 5.	Time to Choose
1	Introduction	1
2	First Impressions: Do the Experimental Groups Differ?	2
3	Confirmation: Tests and Confidence Intervals	5
4	Optional Discussion: The Issue of Practice	10
5	More Advanced Methods: An Analysis of Variance	13
Unit 6.	Interest Rates on Savings
1	Introduction	1
2	First Impressions: Did S&Ls Give Higher Interest Than Banks?	2
3	Further Exploration: Were Rates Higher for 1-Year CDs Than for 6-Month CDs?	5
4	Confirmation: Nonparametric Methods	8
5	More Advanced Methods: An Analysis of Variance	12
Unit 7.	Infants Learning to Walk
1	Introduction	1
2	First Impressions: Do the Groups Differ?	3
3	Confirmation: A One-Way Analysis of Variance	5
4	Discussion: Is the ANOVA Model Correct and Useful?	12
Unit 8.	Classifying Irises
1	Introduction	1
2	First Impressions: Do Any of the Variables Separate the Species?	2
3	A Numerical Measure of Separation: The Two-Sample t Statistic	5
4	Discussion: A Multivariate Approach	9
5	Discussion: Including a Third Species	11
6	More Advanced Methods: Linear Discriminant Functions	15
Unit 9.	Elementary, My Dear Statistician
1	Introduction	1
2	Confirmation: A Statistical Test to Distinguish Among Writing Styles	2
3	Discussion: Identifying Authorship	8
Unit 10.	Smoking and Survival
1	Introduction	1
2	First Impressions: A Summary Table of Smoking and Survival	2
3	Confirmation: A Statistical Test of Association	3
4	Discussion: The Importance of Stratification	7
5	Optional Method: Standardized Mortality Ratios	11
6	Optional Simulation: An Evaluation of the Yates Correction	13
Unit 11.	Correlation Does Not Imply Causation
1	Introduction	1
2	Data and Discussion: Heart Disease, Diet, and Telephones	3
3	Data and Discussion: European Rainfall	8
4	Data and Discussion: Calories and Sodium in Hot Dogs	10
5	Data and Discussion: Rainfall and High School Graduation Rates	12
Unit 12.	How Faithful Is Old Faithful?
1	Introduction	1
2	First Impressions: Two Kinds of Eruptions	2
3	Regression: Predicting the Time of the Next Eruption	7
4	Discussion: Regression Assumptions and Diagnostics	11
5	More Advanced Methods: A Multiple Regression	18
6	Optional Discussion: Insights from Regression Formulas	20
Unit 13.	Patterns in Airline Schedules
1	Introduction	1
2	Description and Regression: Times on the Ground and in Flight	2
3	Discussion: Taking Direction of Travel into Account	9
4	More Advanced Methods: A Multiple Regression	13
Unit 14.	Blood Tests on Newborn Babies
1	Introduction	1
2	First Impressions: Comparing the HemoCue Machine with the Hospital Lab	3
3	Discussion: Should the HemoCue Machine Be Used?	6
4	Discussion: Correlation and Regression Methods	8
	In Each Unit
	Explorations and Questions
	References and Acknowledgments
	Notes: Additional Information
	Appendix
	Comments on Questions
	Orientation: Getting Started with Minitab
	Index