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

• Sorry, this book is no longer in print.

### Features

Now fully updated: The world's best guide to using and understanding statistics without being overwhelmed by math!

• Adds new coverage of multiple regression, more spreadsheet guidance, and dozens of new problems and solutions.
• Walks through performing key tasks with Excel, OpenOffice.org Calc, or a TI-83 Plus-compatible calculator.
• Best-selling author David Levine shows how to apply statistical concepts with minimal math, but also provides the mathematical foundations if you want them.

## Description

• Edition: 2nd
• ISBN-10: 0-13-701059-1
• ISBN-13: 978-0-13-701059-2

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

### Online Sample Chapter

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 Two Groups . . . . 186

Chapter 10 Simple Linear Regression . . . . . ..207

10.1 Basics of Regression Analysis . . . . . . . 208

10.2 Determining the Simple Linear Regression Equation . . . . . . 209

10.3 Measures of Variation . . . . . . 217

10.4 Regression Assumptions. . . . . . . . . 222

10.5 Residual Analysis. . . . . . .223

10.6 Inferences About the Slope. . . . . 225

10.7 Common Mistakes Using Regression Analysis . . . . . 228

Chapter 11 Multiple Regression . . . . . ..245

11.1 The Multiple Regression Model . . . . . 245

11.2 Coefficient of Multiple Determination. . . . . . 248

11.3 The Overall F test. . . . . . . 249

11.4 Residual Analysis for the Multiple Regression Model . . . . . . 250

11.5 Inferences Concerning the Population Regression Coefficients . . . . 251

Chapter 12 Quality and Six Sigma Applications of Statistics . . . . 265

12.1 Total Quality Management . . . . . 265

12.2 Six Sigma. . . . . . . 267

12.3 Control Charts . . . . . 268

12.4 The p Chart. . . . . . .271

12.5 The Parable of the Red Bead Experiment: Understanding Process Variability . . . . . . . . 276

12.6 Variables Control Charts for the Mean and Range . . . . . 278

Appendix A Calculator and Spreadsheet Operation and Configuration . . . . ..295

A.C1 Calculator Operation Conventions ...... 295

A.C2 Calculator Technical Configuration ...... 297

A.C3 Using the A2MULREG Program ...... 298

A.C4 Using TI Connect ...... 298

A.S1 Spreadsheet Operation Conventions ..... 299

A.S2 Spreadsheet Technical Configurations..... 299

Appendix B Review of Arithmetic and Algebra . . . . .301

Assessment Quiz . . . . . . 301

Symbols. . . . . 304

Answers to Quiz. . . . . . . 310

Appendix C Statistical Tables . . . 311

Appendix D Spreadsheet Tips. . . . . . ..339

CT: Chart Tips . . . . . 339

FT: Function Tips . . . . .341

ATT: Analysis ToolPak Tips (Microsoft Excel only). . . . .343

Appendix E Advanced Techniques. . . . . . 347

E.1 Using PivotTables to Create Two-Way Cross-Classification Tables . . . . 347

E.2 Using the FREQUENCY Function to Create Frequency Distributions. . . . . . . 349

E.3 Calculating Quartiles . . . . . . 350

E.4 Using the LINEST Function to Calculate Regression Results. . . . . 351

Appendix F Documentation for Downloadable Files . . . . 353

F.1 Downloadable Data Files . . . . . . 353

F.2 Downloadable Spreadsheet Solution Files. . . . . . 357

Glossary . . . . ..359

Index . . . . .367