Seeing Through Statistics by Jessica M. Utts (2014, Trade Paperback)
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Seeing Through Statistics by Jessica M. Utts (2014, Trade Paperback)
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eBay item number:375614667995
Item specifics
- Condition
- ISBN
- 9781285050881
About this product
Product Identifiers
Publisher
Brooks/Cole
ISBN-10
1285050886
ISBN-13
9781285050881
eBay Product ID (ePID)
160042846
Product Key Features
Number of Pages
656 Pages
Publication Name
Seeing Through Statistics
Language
English
Subject
Probability & Statistics / General
Publication Year
2014
Features
Revised
Type
Textbook
Subject Area
Mathematics
Format
Trade Paperback
Dimensions
Item Height
9.1 in
Item Weight
39.2 Oz
Item Length
1.4 in
Item Width
7.3 in
Additional Product Features
Edition Number
4
Intended Audience
College Audience
Reviews
"[T]his book does an excellent job of explaining statistical concepts using layman language." - Abraham Ayebo, North Dakota State University, "The case studies, examples, and exercises are some of the best that I have seen in an introductory statistics textbook." - Jamis Perrett, Texas A&M University, The case studies, examples, and exercises are some of the best that I have seen in an introductory statistics textbook.- Jamis Perrett, Texas A&M University, [T]his book does an excellent job of explaining statistical concepts using layman language.- Abraham Ayebo, North Dakota State University
Dewey Edition
22
Dewey Decimal
519.5
Table Of Content
PART 1: FINDING DATA IN LIFE.1. THE BENEFITS AND RISKS OF USING STATISTICS1.1 Statistics. Case study. 1.1 Heart or Hypothalamus? 1.2 Detecting Patterns and Relationships. Case study. 1.2 Does Aspirin Prevent Heart Attacks? 1.3 Don't Be Deceived by Improper Use of Statistics. CASE STUDY 1.3 [To come]. 1.4 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 Who Suffers from Hangovers? 2.5 Planning Your Own Study: Defining the Components in Advance. CASE STUDY 2.2. 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'. 3.4 Defining What Is Being Measured. CASE STUDY 3.2. 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. 5.3 Difficulties and Disasters in Experiments. CASE STUDY 5.2 Beat the Heat with a Frozen Treat. 5.4 Designing a Good Observational Experiment. CASE STUDY 5.3. 5.5 Difficulties and Disasters in Observational Studies. 5.6 Random Sample versus Random Assignment. Thinking About Key Concepts. Exercises. Mini-Projects. References6. GETTING THE BIG PICTURE.6.1 Final Questions. CASE STUDY 6.1 Mozart, Relaxation, and Performance on Spatial Tasks. CASE STUDY. 6.2 Can Meditation Boost Test Scores'. CASE STUDY 6.3 Drinking, Driving, and the Supreme Court. CASE STUDY 6.4 Smoking During Pregnancy and Child's IQ. CASE STUDY 6.5 For Class Discussion: Guns and. Homicides at Home. 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. For Those Who Like 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. For Those Who Like Formulas. Exercises. References9. 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 Trends across Time. 9.5 Difficulties and Disasters in Plots, Graphs, and Pictures.9.6 A Checklist for Statistical Pictures. CASE STUDY 9.1. 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 Are Attitudes about Love and Romance Hereditary? CASE STUDY 10.2 A Weighty Issue: Women Want Less, Men Want More. Thinking About Key Concepts. For Those Who Like Formulas. Exercises. Mini-Projects. References.11. RELATIONSHIPS CAN BE DECEIVING.11.1 Ille
Edition Description
Revised edition
Synopsis
The fourth edition of this popular book by Jessica Utts 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 using an abundance of technicalities and calculations that only serve to confuse students.
LC Classification Number
QA276.12
Item description from the seller
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