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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
1
Sec 1.1: Analyzing a Process Probability
1.1
Investigation 1.1: Friend or Foe?
1.1.1
Practice Problem 1.1A
1.1.2
Practice Problem 1.1B
1.2
Investigation 1.2: Can Wolves Understand Human Cues?
1.2.1
Practice Problem 1.2A
1.2.2
Practice Problem 1.2B
1.3
Investigation 1.3: Are You Clairvoyant?
1.3.1
Practice Problem 1.3A
1.3.2
Practice Problem 1.3B
1.3.3
Practice Problem 1.3C
1.4
Investigation 1.4: Heart Transplant Mortality
1.4.1
Practice Problem 1.4A
1.4.2
Practice Problem 1.4B
1.4.3
Practice Problem 1.4C
1.5
Investigation 1.5: Buttered Toast
1.5.1
Practice Problem 1.5
1.6
Investigation 1.6: Kissing the Right Way
1.6.1
Practice Problem 1.6
1.1
Summary of Exact Binomial Inference
2
Sec 1.2: Normal Approximations for Sample Proportions
2.1
Section 2: Normal Approximations for Sample Proportions
2.1
Investigation 1.7: Reese’s Pieces (Optional)
2.1.1
Practice Problem 1.7A
2.1.2
Practice Problem 1.7B
2.2
Investigation 1.8: Halloween Treat Choices
2.2.1
Practice Problem 1.8A
2.2.2
Practice Problem 1.8B
2.2
Summary of One Proportion
z
-test
2.3
Probability Detour: Normal Random Variables
2.3
Investigation 1.9: Kissing the Right Way (cont.)
2.3.1
Practice Problem 1.9A
2.3.2
Practice Problem 1.9B
2.4
Investigation 1.10: Heart Transplant Mortality (cont.)
2.4.1
Practice Problem 1.10A
2.4.2
Practice Problem 1.10B
2.4
Summary: Confidence Interval Methods
2.5
Investigation 1.11: Ganzfeld Experiments
2.5.1
Practice Problem 1.11A
2.5.2
Practice Problem 1.11B
2.5.3
Practice Problem 1.11C
2.5.4
Practice Problem 1.11D
2.5.5
Practice Problem 1.11E
2.5.6
Practice Problem 1.11F
3
Sec 1.3: Sampling from a Finite Population
3.1
Activity: Collecting Data
3.2
Investigation 1.12: Sampling Words
3.2.1
Practice Problem 1.12A
3.2.2
Practice Problem 1.12B
3.3
Investigation 1.13: Sampling Words (cont.)
3.3.1
Practice Problem 1.13A
3.3.2
Practice Problem 1.13B
3.4
Investigation 1.14: Teen Hearing Loss
3.4.1
Practice Problem 1.14
3.5
Summary of One Proportion
\(z\)
-Procedures for Proportion of Large Population
3.6
Investigation 1.15: Counting Concussions
3.6.1
Practice Problems 1.15
3.7
Investigation 1.16: Literary Digest
3.7.1
Practice Problem 1.16A
3.7.2
Practice Problem 1.16B
3.7.3
Practice Problem 1.16C
3.7.4
Practice Problem 1.16D
3.8
Investigation 1.17: Cat Households
3.9
Investigation 1.18: Women Senators
4
Chapter 1 Wrap-Up
4.1
Example 1.1: Predicting Elections from Faces?
4.2
Example 1.2: Cola Discrimination
4.3
Example 1.3: Seat Belt Usage
4.1
Chapter 1 Summary
4.2
Summary of What You Have Learned in This Chapter
4.3
Technology Summary
4.4
Quick Reference to ISCAM R Workspace Functions
4.5
Quick Reference to JMP Commands
4.6
Choice of Procedures for Analyzing One Proportion
4.7
Chapter 1 Appendix: Stratified Random Sampling
5
Sec 2.1: Descriptive Statistics for Quantitative Data
5.1
Investigation 2.1: Birth Weights
5.1.1
Practice Problem 2.1A
5.1.2
Practice Problem 2.1B
5.1.3
Practice Problem 2.1C
5.2
Investigation 2.2: Honking Reaction Times
5.2.1
Practice Problem 2.2A
5.2.2
Practice Problem 2.2B
5.3
Investigation 2.3: Readability of Cancer Pamphlets
5.3.1
Practice Problem 2.3
6
Sec 2.2: Inference for Population Mean
6.1
Investigation 2.4: The Ethan Allen
6.1.1
Practice Problem 2.4A
6.1.2
Practice Problem 2.4B
6.1.3
Practice Problem 2.4C
6.2
Investigation 2.5: Healthy Body Temperatures
6.2.1
Practice Problem 2.5A
6.2.2
Practice Problem 2.5B
6.2.3
Practice Problem 2.5C
6.3
Investigation 2.6: Healthy Body Temperatures (cont.)
6.3
Practice Problem 2.6A
6.3
Practice Problem 2.6B
6.4
Summary of One-sample
\(t\)
Procedures
7
Sec 2.3: Inference for Other Statistics
7.1
Investigation 2.7: Water Oxygen Levels
7.1.1
Practice Problem 2.7
7.2
Investigation 2.8: Turbidity
7.2.1
Practice Problem 2.8
8
Chapter 2 Wrap-Up
8.1
Example 2.1: Pushing On
8.2
Example 2.2: Distracted Driving?
8.1
Chapter 2 Summary
8.2
Summary of What You Have Learned in This Chapter
8.3
Technology Summary
8.4
Quick Reference to ISCAM R Workspace Functions and R Commands
8.5
Quick Reference to JMP Commands
8.6
Choice of Procedures for Analyzing One Mean
9
Chapter 3, Section 1: Comparing Two Population Proportions
9.1
Investigation 3.1: Teen Hearing Loss (cont.)
9.1.1
Practice Problem 3.1A
9.1.2
Practice Problem 3.1B
9.2
Summary of Comparing Two Population Proportions
9.3
Investigation 3.2: Nightlights and Near-sightedness
9.3.1
Practice Problem 3.2A
9.3.2
Practice Problem 3.2B
10
Sec 3.2: Types of Studies
10.1
Investigation 3.3: Handwriting and SAT Scores
10.1.1
Practice Problem 3.3
10.2
Investigation 3.4: Botox for Back Pain
10.2.1
Practice Problem 3.4A
10.2.2
Practice Problem 3.4B
10.2.3
Practice Problem 3.4C
11
Sec 3.3: Comparing Two Treatment Probabilities
11.1
Investigation 3.5: Dolphin Therapy
11.1.1
Practice Problem 3.5A
11.1.2
Practice Problem 3.5B
11.2
Investigation 3.6: Is Yawning Contagious?
11.2.1
Practice Problem 3.6A
11.2.2
Practice Problem 3.6B
11.2.3
Practice Problem 3.6C
11.3
Investigation 3.7: CPR vs. Chest Compressions
11.3.1
Practice Problem 3.7A
11.3.2
Practice Problem 3.7B
11.4
Investigation 3.8: Peanut Allergies
11.4.1
Practice Problem 3.8A
11.4.2
Practice Problem 3.8B: Knee Surgery Study
11.5
Summary of Inference for Relative Risk
11.6
Investigation 3.9: Smoking and Lung Cancer
11.6.1
Practice Problem 3.9A: Abuse and Violence Study
11.6.2
Practice Problem 3.9B: Comparing Relative Risk and Odds Ratio
11.7
Summary of Inference for Odds Ratio
11.8
Investigation 3.10: Sleepy Drivers
11.8.1
Practice Problem 3.10
12
Chapter 3 Wrap Up
12.1
Example 3.1: Wording of Questions
12.2
Example 3.2: Unbanked Households
12.3
Chapter 3 Summary
12.4
Summary of What You Have Learned in This Chapter
12.5
Technology Summary
12.6
Choice of Procedures for Comparing Two Proportions
12.7
Quick Reference to ISCAM R Workspace Functions and Other R Commands
12.8
Quick Reference to JMP Commands
12.9
Technology Detour – Simulating Random Assignment (two-way tables)
Backmatter
A
Statistical Tables
B
Data Sources and References
Index
Colophon
ISCAM: Investigating Statistical Concepts, Applications, and Methods
Beth L. Chance
Cal Poly - San Luis Obispo
Allan J. Rossman
Cal Poly - San Luis Obispo
Build: November 20, 2025 - 3:45 PM
To the Student
Using Technology with This Book
1
Preliminaries
🔗
