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Full Description
Discover the impact statistics has on your life and make better decisions when faced with uncertainty. Utts's SEEING THROUGH STATISTICS, 5th Edition, develops statistical literacy and critical thinking through real-world applications with an emphasis on ideas, not calculations. This text focuses on the key concepts that educated citizens need to know about statistics. These ideas are introduced in interesting applied and real contexts without the use of complex technicalities and calculations that can sometimes be confusing.
Contents
PART 1: FINDING DATA IN LIFE.
1. THE BENEFITS AND RISKS OF USING STATISTICS
1.1 Why Bother Reading This Book? 1.2 What Is Statistics All About? 1.3 Detecting Patterns and Relationships. CASE STUDY 1.1 Heart or Hypothalamus? CASE STUDY 1.2 Does Aspirin Prevent Heart Attacks? 1.4 Don't Be Deceived by Improper Use of Statistics. CASE STUDY 1.3 Using Probability to Detect Cheating. 1.5 Summary and Conclusions. Thinking About Key Concepts. Exercises. Mini-Projects. References.
2. READING THE NEWS.
2.1 The Educated Consumer of Data. 2.2 Origins of News Stories. 2.3 How to be a Statistics Sleuth: Seven Critical Components. 2.4 Four Hypothetical Examples of Bad Reports. CASE STUDY 2.1 Does Eating a Vegan Diet Reduce Stress and Anxiety. 2.5 Planning Your Own Study: Defining the Components in Advance. CASE STUDY 2.2 Flawed Surveys in the Classroom. Thinking About Key Concepts. Exercises. Mini-Projects. References.
3. MEASUREMENTS, MISTAKES, AND MISUNDERSTANDINGS.
3.1 Simple Measures Don't Exist. 3.2 It's All in the Wording. CASE STUDY 3.1 No Opinion of Your Own? Let Politics Decide. 3.3 Open or Closed Questions: Should Choices Be Given? CASE STUDY 3.2 Do You Know What Makes You Happy? 3.4 Defining What Is Being Measured. 3.5 Defining a Common Language. Thinking About Key Concepts. Exercises. Mini-Projects. References.
4. HOW TO GET A GOOD SAMPLE.
4.1 Common Research Strategies. 4.2 Defining a Common Language. 4.3 The Beauty of Sampling. 4.4 Simple Random Sampling. 4.5 Other Sampling Methods. 4.6 Difficulties and Disasters in Sampling. CASE STUDY 4.1 The Infamous Literary Digest Poll of 1936. Thinking About Key Concepts. Exercises. Mini-Projects. References.
5. EXPERIMENTS AND OBSERVATIONAL STUDIES.
5.1 Defining a Common Language. 5.2 Designing a Good Experiment. CASE STUDY 5.1 Quitting Smoking with Nicotine Patches. CASE STUDY 5.2 Police Shift and Quality of Life. 5.3 Difficulties and Disasters in Experiments. CASE STUDY 5.3 Exercise Yourself to Sleep. 5.4 Designing a Good Observational Study. CASE STUDY 5.4 Baldness and Heart Attacks. 5.5 Difficulties and Disasters in Observational Studies. 5.6 Random Sample versus Random Assignment. Thinking About Key Concepts. Exercises. Mini-Projects. References
6. GETTING THE BIG PICTURE.
6.1 Final Questions. CASE STUDY 6.1 Can Mediation Improve Test Scores? CASE STUDY. 6.2 Can Eating Cereal Reduce Obesity? CASE STUDY 6.3 Drinking, Driving, Sex Discrimination, and the Supreme Court. CASE STUDY 6.4 Can a Break from Social Media Improve Mental Health? CASE STUDY 6.5 For Class Discussion: Coffee and Longevity. Mini-Projects. References.
PART II: FINDING LIFE IN DATA.
7. SUMMARIZING AND DISPLAYING MEASUREMENT DATA.
7.1 Turning Data into Information. 7.2 Picturing Data: Stemplots and Histograms. 7.3 Five Useful Numbers: A Summary. 7.4 Boxplots. 7.5 Traditional Measures: Mean, Variance, and Standard Deviation. 7.6 Caution: Being Average Isn't Normal. CASE STUDY 7.1 Detecting Exam Cheating with a Histogram. Thinking About Key Concepts. Focus on Formulas. Exercises. Mini-Projects. References.
8. BELL-SHAPED CURVES AND OTHER SHAPES.
8.1 Populations, Frequency Curves, and Proportions. 8.2 The Pervasiveness of Normal Curves. 8.3 Percentiles and Standardized Scores. 8.4 z-Scores and Familiar Intervals. Thinking About Key Concepts. Focus on Formulas. Exercises. References
9. PLOTS, GRAPHS, AND PICTURES.
9.1 Well-Designed Statistical Pictures. 9.2 Pictures of Categorical Data. 9.3 Pictures of Measurement Variables. 9.4 Pictures of Trends across Time. 9.5 Difficulties and Disasters in Plots, Graphs, and Pictures. 9.6 A Checklist for Statistical Pictures. CASE STUDY 9.1 Time to Panic about Illicit Drug Use? Thinking About Key Concepts. Exercises. Mini-Projects. References.
10. RELATIONSHIPS BETWEEN MEASUREMENT VARIABLES.
10.1 Statistical Relationships. 10.2 Strength versus Statistical Significance. 10.3 Measuring Strength Through Correlation. 10.4 Specifying Linear Relationships with Regression. CASE STUDY 10.1 Ar
