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ISCAM: Investigating Statistical Concepts, Applications, and Methods
Beth L. Chance, Allan J. Rossman
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Front Matter
To the Student
Using Technology with This Book
1
Interactive R Cells (Sage)
2
Using RStudio
3
Accessing Data Files
4
Using JMP
1
Preliminaries
1.1
Investigation A: Hurricanes and Climate Change
1.1.1
Discussion
1.1.2
Practice Problem A.A
1.2
Investigation B: Random Babies
1.2.1
Simulation Analysis
1.2.2
Exact Mathematical Analysis
1.2.3
Discussion
1.2.4
Practice Problem B.A
1.2.5
Practice Problem B.B
1.2.6
Practice Problem B.C
1.3
Investigation C: Modelling Hurricanes
1.3.1
Practice Problem C.A
1.3.2
Practice Problem C.B
2
Sec 1.1: Analyzing a Process Probability
2.1
Investigation 1.1: Friend or Foe?
2.1.1
Practice Problem 1.1A
2.1.2
Practice Problem 1.1B
2.2
Investigation 1.2: Can Wolves Understand Human Cues?
2.2.1
Practice Problem 1.2A
2.2.2
Practice Problem 1.2B
2.3
Investigation 1.3: Are You Clairvoyant?
2.3.1
Practice Problem 1.3A
2.3.2
Practice Problem 1.3B
2.3.3
Practice Problem 1.3C
2.4
Investigation 1.4: Heart Transplant Mortality
2.4.1
Practice Problem 1.4A
2.4.2
Practice Problem 1.4B
2.4.3
Practice Problem 1.4C
2.5
Investigation 1.5: Buttered Toast
2.5.1
Practice Problem 1.5
2.6
Investigation 1.6: Kissing the Right Way
2.6.1
Practice Problem 1.6
2.1
Summary of Exact Binomial Inference
3
Sec 1.2: Normal Approximations for Sample Proportions
3.1
Section 2: Normal Approximations for Sample Proportions
3.1
Investigation 1.7: Reese’s Pieces (Optional)
3.1.1
Practice Problem 1.7A
3.1.2
Practice Problem 1.7B
3.2
Investigation 1.8: Halloween Treat Choices
3.2.1
Practice Problem 1.8A
3.2.2
Practice Problem 1.8B
3.2
Summary of One Proportion
z
-test
3.3
Probability Detour: Normal Random Variables
3.3
Investigation 1.9: Kissing the Right Way (cont.)
3.3.1
Practice Problem 1.9A
3.3.2
Practice Problem 1.9B
3.4
Investigation 1.10: Heart Transplant Mortality (cont.)
3.4.1
Practice Problem 1.10A
3.4.2
Practice Problem 1.10B
3.4
Summary: Confidence Interval Methods
3.5
Investigation 1.11: Ganzfeld Experiments
3.5.1
Practice Problem 1.11A
3.5.2
Practice Problem 1.11B
3.5.3
Practice Problem 1.11C
3.5.4
Practice Problem 1.11D
3.5.5
Practice Problem 1.11E
3.5.6
Practice Problem 1.11F
4
Sec 1.3: Sampling from a Finite Population
4.1
Activity: Collecting Data
4.2
Investigation 1.12: Sampling Words
4.2.1
Practice Problem 1.12A
4.2.2
Practice Problem 1.12B
4.3
Investigation 1.13: Sampling Words (cont.)
4.3.1
Practice Problem 1.13A
4.3.2
Practice Problem 1.13B
4.4
Investigation 1.14: Teen Hearing Loss
4.4.1
Practice Problem 1.14
4.5
Summary of One Proportion
\(z\)
-Procedures for Proportion of Large Population
4.6
Investigation 1.15: Counting Concussions
4.6.1
Practice Problems 1.15
4.7
Investigation 1.16: Literary Digest
4.7.1
Practice Problem 1.16A
4.7.2
Practice Problem 1.16B
4.7.3
Practice Problem 1.16C
4.7.4
Practice Problem 1.16D
4.8
Investigation 1.17: Cat Households
4.9
Investigation 1.18: Women Senators
5
Chapter 1 Wrap-Up
5.1
Example 1.1: Predicting Elections from Faces?
5.2
Example 1.2: Cola Discrimination
5.3
Example 1.3: Seat Belt Usage
5.1
Chapter 1 Summary
5.2
Summary of What You Have Learned in This Chapter
5.3
Technology Summary
5.4
Quick Reference to ISCAM R Workspace Functions
5.5
Quick Reference to JMP Commands
5.6
Choice of Procedures for Analyzing One Proportion
5.7
Chapter 1 Appendix: Stratified Random Sampling
6
Sec 2.1: Descriptive Statistics for Quantitative Data
6.1
Investigation 2.1: Birth Weights
6.1.1
Practice Problem 2.1A
6.1.2
Practice Problem 2.1B
6.1.3
Practice Problem 2.1C
6.2
Investigation 2.2: Honking Reaction Times
6.2.1
Practice Problem 2.2A
6.2.2
Practice Problem 2.2B
6.3
Investigation 2.3: Readability of Cancer Pamphlets
6.3.1
Practice Problem 2.3
7
Sec 2.2: Inference for Population Mean
7.1
Investigation 2.4: The Ethan Allen
7.1.1
Practice Problem 2.4A
7.1.2
Practice Problem 2.4B
7.1.3
Practice Problem 2.4C
7.2
Investigation 2.5: Healthy Body Temperatures
7.2.1
Practice Problem 2.5A
7.2.2
Practice Problem 2.5B
7.2.3
Practice Problem 2.5C
7.3
Investigation 2.6: Healthy Body Temperatures (cont.)
7.3
Practice Problem 2.6A
7.3
Practice Problem 2.6B
7.4
Summary of One-sample
\(t\)
Procedures
8
Sec 2.3: Inference for Other Statistics
8.1
Investigation 2.7: Water Oxygen Levels
8.1.1
Practice Problem 2.7
8.2
Investigation 2.8: Turbidity
8.2.1
Practice Problem 2.8
9
Chapter 2 Wrap-Up
9.1
Example 2.1: Pushing On
9.2
Example 2.2: Distracted Driving?
9.1
Chapter 2 Summary
9.2
Summary of What You Have Learned in This Chapter
9.3
Technology Summary
9.4
Quick Reference to ISCAM R Workspace Functions and R Commands
9.5
Quick Reference to JMP Commands
9.6
Choice of Procedures for Analyzing One Mean
10
Chapter 3, Section 1: Comparing Two Population Proportions
10.1
Investigation 3.1: Teen Hearing Loss (cont.)
10.1.1
Practice Problem 3.1A
10.1.2
Practice Problem 3.1B
10.2
Summary of Comparing Two Population Proportions
10.3
Investigation 3.2: Nightlights and Near-sightedness
10.3.1
Practice Problem 3.2A
10.3.2
Practice Problem 3.2B
11
Sec 3.2: Types of Studies
11.1
Investigation 3.3: Handwriting and SAT Scores
11.1.1
Practice Problem 3.3
11.2
Investigation 3.4: Botox for Back Pain
11.2.1
Practice Problem 3.4A
11.2.2
Practice Problem 3.4B
11.2.3
Practice Problem 3.4C
12
Sec 3.3: Comparing Two Treatment Probabilities
12.1
Investigation 3.5: Dolphin Therapy
12.1.1
Practice Problem 3.5A
12.1.2
Practice Problem 3.5B
12.2
Investigation 3.6: Is Yawning Contagious?
12.2.1
Practice Problem 3.6A
12.2.2
Practice Problem 3.6B
12.2.3
Practice Problem 3.6C
12.3
Investigation 3.7: CPR vs. Chest Compressions
12.3.1
Practice Problem 3.7A
12.3.2
Practice Problem 3.7B
12.4
Investigation 3.8: Peanut Allergies
12.4.1
Practice Problem 3.8A
12.4.2
Practice Problem 3.8B: Knee Surgery Study
12.5
Summary of Inference for Relative Risk
12.6
Investigation 3.9: Smoking and Lung Cancer
12.6.1
Practice Problem 3.9A: Abuse and Violence Study
12.6.2
Practice Problem 3.9B: Comparing Relative Risk and Odds Ratio
12.7
Summary of Inference for Odds Ratio
12.8
Investigation 3.10: Sleepy Drivers
12.8.1
Practice Problem 3.10
13
Chapter 3 Wrap Up
13.1
Example 3.1: Wording of Questions
13.2
Example 3.2: Unbanked Households
13.3
Chapter 3 Summary
13.4
Summary of What You Have Learned in This Chapter
13.5
Technology Summary
13.6
Choice of Procedures for Comparing Two Proportions
13.7
Quick Reference to ISCAM R Workspace Functions and Other R Commands
13.8
Quick Reference to JMP Commands
13.9
Technology Detour – Simulating Random Assignment (two-way tables)
Backmatter
A
Statistical Tables
B
Data Sources and References
Index
Colophon
Chapter
11
Sec 3.2: Types of Studies
In the previous investigation, we cautioned against jumping to a cause-and-effect conclusion when a statistically significant association is found between the response and explanatory variables. But when can we potentially draw such a conclusion?
🔗
11.1
Investigation 3.3: Handwriting and SAT Scores
11.2
Investigation 3.4: Botox for Back Pain
🔗
