9780205646425

Statistical Reasoning for Everyday Life

by ; ;
  • ISBN13:

    9780205646425

  • ISBN10:

    0205646425

  • Edition: 3rd
  • Format: Paperback
  • Copyright: 4/1/2008
  • Publisher: Pearson
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Summary

Teaches students how to be better consumers of information by showing the role of statistics in many aspects of everyday life.KEY POINTS:Uses real examples and case studies to build an understanding of the core ideas of statistics that can be applied to the social sciences. Includes data from real sources to help students become better critical thinkers and decision makers.

Table of Contents

Preface
Supplements To the Student: How to Succeed in Your Statistics Course
Applications Index
Speaking of Statistics
What Is/Are Statistics?
Sampling
Types of Statistical Studies
Should You Believe a Statistical Study?
Focus on Sociology: Does Daycare Breed Bullies?
Focus on Public Health: Is Your Lifestyle Healthy?
Measurement in Statistics
Data Types and Levels of Measurement
Dealing with Errors
Uses of Percentages in Statistics
Index Numbers
Focus on Politics: Who Benefits from a Tax Cut?
Focus on Economics: Is our Standard of Living Improving?
Visual Displays of Data
Frequency Tables
Picturing Distributions of Data
Graphics in the Media
A Few Cautions About Graphics
Using Technology
Focus on History: Can War Be Described with a Graph?
Focus on Environment: How Can We Visualize Global Warming?
Describing Data
What Is Average?
Shapes of Distributions
Measures of Variation
Statistical Paradoxes
Using Technology
Focus on The Stock Market: Whatrsquo;s Average About the Dow?
Focus on Economics: Are the Rich Getting Richer?
A Normal World
What Is Normal?
Properties of the Normal Distribution
The Central Limit Theorem
Using Technology
Focus on Education: What Can We Learn from SAT Trends?
Focus on Psychology: Are We Smarter than Our Parents?
Probability in Statistics
The Role of Probability in Statistics: Statistical Significance 226
Basics of Probability
Probabilities with Large Numbers
Ideas of Risk and Life Expectancy
Combining Probabilities (Supplementary Section) &n
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