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Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Rough Cuts, 2nd Edition

Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, Rough Cuts, 2nd Edition

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Description

  • Copyright 2010
  • Dimensions: 7" x 9-1/4"
  • Pages: 384
  • Edition: 2nd
  • Rough Cuts
  • ISBN-10: 0-13-702594-7
  • ISBN-13: 978-0-13-702594-7

This is the Rough Cut version of the printed book.

Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statisticsi s a practical, up-to-date introduction to statistics—for everyone! Thought you couldn’t learn statistics? You can—and you will! One easy step at a time, this fully updated book teaches you all the statistical techniques you’ll need for finance, quality, marketing, the social sciences, or anything else! Simple jargon-free explanations help you understand every technique. Practical examples and worked-out problems give you hands-on practice. Special sections present detailed instructions for developing statistical answers, using spreadsheet programs or any TI-83/TI-84 compatible calculator. This edition delivers new examples, more detailed problems and sample solutions, plus an all-new chapter on powerful multiple regression techniques. Hate math? No sweat. You’ll be amazed at how little you need. Like math? Optional “Equation Blackboard” sections reveal the mathematical foundations of statistics right before your eyes! You’ll learn how to:

• Construct and interpret statistical charts and tables with Excel or OpenOffice.org Calc 3

• Work with mean, median, mode, standard deviation, Z scores, skewness, and other descriptive statistics

• Use probability and probability distributions

• Work with sampling distributions and confidence intervals

• Test hypotheses with Z, t, chi-square, ANOVA, and other techniques

• Perform powerful regression analysis and modeling

• Use multiple regression to develop models that contain several independent variables

• Master specific statistical techniques for quality and Six Sigma programs

About the Web Site

Download practice files, templates, data sets, and sample spreadsheet models—including ready-to-use solutions for your own work! www.ftpress.com/youcanlearnstatistics2e

Sample Content

Table of Contents

Acknowledgments. . . . . viii

About the Authors . . . . . ix

Introduction The Even You Can Learn Statistics Owners Manual. . . . xi

Chapter 1 Fundamentals of Statistics . . . . . 1

1.1 The First Three Words of Statistics. . . . . . . 2

1.2 The Fourth and Fifth Words . . . . 4

1.3 The Branches of Statistics . . . . . 5

1.4 Sources of Data . . . . . 6

1.5 Sampling Concepts . . . . 7

1.6 Sample Selection Methods. . . . . 9

Chapter 2 Presenting Data in Charts and Tables. . . . . 19

2.1 Presenting Categorical Variables. . . . . . 19

2.2 Presenting Numerical Variables. . . . .. 26

2.3 Misusing Charts. . . . . 32

Chapter 3 Descriptive Statistics . . . . 43

3.1 Measures of Central Tendency . . . . 43

3.2 Measures of Position. . . . . 47

3.3 Measures of Variation. . . . . . 51

3.4 Shape of Distributions . . . . . 57

Chapter 4 Probability . . . . . . 71

4.1 Events. . . . . . 71

4.2 More Definitions . . . . . . 72

4.3 Some Rules of Probability . . . . . 74

4.4 Assigning Probabilities . . . . 77

Chapter 5 Probability Distributions . . . . 83

5.1 Probability Distributions for Discrete Variables . . .. . 83

5.2 The Binomial and Poisson Probability Distributions. . . . 89

5.3 Continuous Probability Distributions and the Normal Distribution . . . 97

5.4 The Normal Probability Plot. . . . . 105

Chapter 6 Sampling Distributions and Confidence Intervals . . . . 119

6.1 Sampling Distributions. . . . . . . 119

6.2 Sampling Error and Confidence Intervals. . . . . . 123

6.3 Confidence Interval Estimate for the Mean Using the t Distribution (ó Unknown) . . . . . 127

6.4 Confidence Interval Estimation for Categorical Variables. .. . . 131

Chapter 7 Fundamentals of Hypothesis Testing . . . 141

7.1 The Null and Alternative Hypotheses. . . . . . 141

7.2 Hypothesis Testing Issues . . . . . 143

7.3 Decision-Making Risks . . . . . . . 145

7.4 Performing Hypothesis Testing . . . . . 147

7.5 Types of Hypothesis Tests . . . . 148

Chapter 8 Hypothesis Testing: Z and t Tests . . . . 153

8.1 Testing for the Difference Between Two Proportions. . . . . . 153

8.2 Testing for the Difference Between the Means of Two Independent Groups .. . . . . . 160

8.3 The Paired t Test . . . . . 166

Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). . . . . .179

9.1 Chi-Square Test for Two-Way Cross-Classification Tables . . . . . 179

9.2 One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Tw

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