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Statistical Reasoning for Everyday Life,9780201614886

Statistical Reasoning for Everyday Life

by ; ;
Edition:
1st
ISBN13:

9780201614886

ISBN10:
020161488X
Format:
Paperback
Pub. Date:
10/1/2000
Publisher(s):
Addison-Wesley Pub Co
List Price: $60.00
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Summary

This book is intended for use in the statistical literacy course or an introductory statistics course that emphasizes concepts over computation. The goal is to give students a conceptual understanding of statistics and develop their statistical reasoning skills. This text approaches statistics by presenting an overall picture and then providing explanation of the topics in context. Students develop an understanding of statistics that is reinforced in the exercises and web projects, and by doing some computation.

Table of Contents

Preface xi
To the Student: How to Succeed in Your Statistics Course xvi
Speaking of Statistics
1(56)
What Is/Are Statistics?
2(11)
Sampling
13(12)
Types of Statistical Study
25(13)
Should You Believe a Statistical Study?
38(19)
Focus on Medicine: How Strong Is the Placebo Effect?
52(3)
Focus on Public Health: Is Your Lifestyle Healthy?
55(2)
Measurement in Statistics
57(40)
Data Types and Levels of Measurement
58(6)
Dealing with Errors
64(10)
Uses and Abuses of Percentages in Statistics
74(9)
Index Numbers
83(14)
Focus on Politics: Who Benefits from a Tax Cut?
91(2)
Focus on Economics: Does the Consumer Price Index Really Measure Inflation?
93(4)
Visual Displays of Data
97(64)
Frequency Tables
98(10)
Picturing Distributions of Data
108(18)
Graphics in the Media
126(17)
A Few Cautions About Graphics
143(18)
Focus on History: Can War Be Described with a Graph?
156(2)
Focus on Environment: How Much Carbon Dioxide Is in the Atmosphere?
158(3)
Describing Data
161(50)
What Is Average?
162(14)
Shapes of Distributions
176(9)
Measures of Variation
185(26)
Focus on the Stock Market: What's Average About the Dow?
203(4)
Focus on Social Science: Are the Rich Getting Richer?
207(4)
A Normal World
211(44)
What Is Normal?
212(11)
Properties of the Normal Distribution
223(15)
The Central Limit Theorem
238(17)
Focus on Education: What Do SAT Scores Mean?
248(3)
Focus on Psychology: Are We Smarter Than Our Parents?
251(4)
Probability in Statistics
255(72)
Statistical Significance
256(5)
Basics of Probability
261(20)
In the Long Run, What Do You Expect?
281(11)
Assessing Risk
292(10)
Rules for Combining Probabilities
302(25)
Focus on Social Science: Are Lotteries Fair?
315(4)
Focus on Law: Is DNA Fingerprinting Reliable?
319(4)
Focus on Psychology: What Does Your Intuition Say About Risks?
323(4)
Correlation and Causality
327(56)
Seeking Correlation
328(18)
Interpreting Correlations
346(10)
Best-Fit Lines and Prediction
356(10)
The Search for Causality
366(17)
Focus on Education: What Helps Children Read?
377(3)
Focus on Public Health: What Do Disease Clusters Mean?
380(3)
From Samples to Populations
383(38)
Sampling Distributions
384(13)
Estimating Population Means
397(10)
Estimating Population Proportions
407(14)
Focus on Media: Did NBC Lose $66 Million to a Nielsen Sampling Error?
416(2)
Focus on Literature: How Many Words Did Shakespeare Know?
418(3)
Hypothesis Testing
421(56)
Fundamentals of Hypothesis Testing
422(9)
Setting Up Hypothesis Tests
431(6)
Hypothesis Tests for Population Means
437(13)
Hypothesis Testing: Further Considerations
450(11)
Hypothesis Testing: Population Proportions
461(16)
Focus on History: Where Did Statistics Begin?
470(3)
Focus on Agriculture: Are Genetically Modified Foods Safe?
473(4)
Relationships in Tables
477(50)
Understanding Two-Way Tables
478(13)
Hypothesis Testing with Two-Way Tables
491(13)
Risk, Paradox, and Probability
504(23)
Focus on Criminology: Can You Tell a Fraud When You See One?
519(3)
Focus on Education: What Can a Fourth Grader Do with Statistics?
522(5)
Appendix: State Data 527
Answers A-1(1)
Credits C-1(1)
Index I-1


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