Available

Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics, 4th Edition

David M. Levine

David F. Stephan, Two Bridges Instructional Technology

Even You Can Learn Statistics and Analytics: An Easy to Understand Guide to Statistics and Analytics, 4th Edition — View larger

If You're an Educator

If You're a Student

Introducing Pearson+ 1500+ eTexts and study tools, all in one place. Subscriptions starting at $9.99/month.

K-12 educators: This link is for individuals purchasing with credit cards or PayPal only. Contact your Savvas Learning Company Account General Manager for purchase options.

Overview

Description

Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Fourth Edition is the practical, up-to-date introduction to statistics an analyticsfor everyone!

One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than everall updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample modelsincluding complete solutions you can put right to work in business, school, or anywhere else. Learn how to do all this, and more:

Apply statistical techniques to analyze huge data sets and transform them into valuable knowledge
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

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! Thought you couldn't learn statistics? You canand you will!

Features

Master all the statistics you need for finance, quality, marketing, social sciences, and modern "big data" analyticsone easy step at a time!
Includes all-new chapters on analytics concepts and applications, and on descriptive and predictive analytical methods
Presents expanded discussions and examples based on the latest versions of Microsoft Excel
Covers descriptive statistics, probability, sampling, hypothesis testing, regression analysis, multiple regressions, Six Sigma statistical quality techniques, and more
Includes many new and revised problems, both within and at the end of chapters

Introduction The Even You Can Learn Statistics and Analytics Owners Manual. xiii

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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4

1.4 Sources of Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

1.5 Sampling Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

1.6 Sample Selection Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8

Chapter 2 Presenting Data in Tables and Charts . 15

2.1 Presenting Categorical Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15

2.2 Presenting Numerical Variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23

2.3 Bad Charts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Chapter 3 Descriptive Statistics. 45

3.1 Measures of Central Tendency. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45

3.2 Measures of Position. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49

3.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54

3.4 Shape of Distributions. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

Chapter 4 Probability. 75

4.1 Events. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 75

4.2 More Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76

4.3 Some Rules of Probability. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78

4.4 Assigning Probabilities. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81

Chapter 5 Probability Distributions. 87

5.1 Probability Distributions for Discrete Variables. . . . . . . . . . . . . . . . . . . . . . . . 87

5.2 The Binomial and Poisson Probability Distributions. . . . . . . . . . . . . . . . . . . . 93

5.3 Continuous Probability Distributions and the Normal Distribution . . . . . . . 100

5.4 The Normal Probability Plot. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108

Chapter 6 Sampling Distributions and Confidence Intervals. 121

6.1 Foundational Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122

6.2 Sampling Error and Confidence Intervals. . . . . . . . . . . . . . . . . . . . . . . . . . . 125

6.3 Confidence Interval Estimate for the Mean Using the t Distribution (? Unknown). . . 128

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

6.5 Confidence Interval Estimation When Normality Cannot Be Assumed. . . . . 134

Chapter 7 Fundamentals of Hypothesis Testing. 145

7.1 The Null and Alternative Hypotheses. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

7.2 Hypothesis Testing Issues. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 147

7.3 Decision-Making Risks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149

7.4 Performing Hypothesis Testing. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 150

7.5 Types of Hypothesis Tests. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 152

Chapter 8 Hypothesis Testing: Z and t Tests. 157

8.1 Test for the Difference Between Two Proportions . . . . . . . . . . . . . . . . . . . . . 157

8.2 Test for the Difference Between the Means of Two Independent Groups . . . . 163

8.3 The Paired t Test. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 168

Chapter 9 Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA). 183

9.1 Chi-Square Test for Two-Way Tables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183

9.2 One-Way Analysis of Variance (ANOVA): Testing for the

Differences Among the Means of More Than Two Groups. . . . . . . . . . . . . . . 191

Chapter 10 Simple Linear Regression. 211

10.1 Basics of Regression Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

10.2 Developing a Simple Linear Regression Model. . . . . . . . . . . . . . . . . . . . . . 214

10.3 Measures of Variation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221

10.4 Inferences About the Slope. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226

10.5 Common Mistakes When Using Regression Analysis . . . . . . . . . . . . . . . . . 229

Chapter 11 Multiple Regression. 243

11.1 The Multiple Regression Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243

11.2 Coefficient of Multiple Determination . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246

11.3 The Overall F Test . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 246

11.4 Residual Analysis for the Multiple Regression Model . . . . . . . . . . . . . . . . . 247

11.5 Inferences Concerning the Population Regression Coefficients. . . . . . . . . . 248

Chapter 12 Introduction to Analytics. 259

12.1 Basic Concepts. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 259

12.2 Descriptive Analytics. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265

12.3 Typical Descriptive Analytics Visualizations. . . . . . . . . . . . . . . . . . . . . . . . 269

Chapter 13 Predictive Analytics. 279

13.1 Predictive Analytics Methods. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 279

13.2 More About Predictive Models. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281

13.3 Tree Induction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284

13.4 Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 287

13.5 Association Analysis. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 290

Appendix A Microsoft Excel Operation and Configuration . 299

Appendix B Review of Arithmetic and Algebra. 301

Appendix C Statistical Tables. 311

Appendix D Spreadsheet Tips . 339

Appendix E Advanced Techniques. 343

Appendix F Documentation for Downloadable Files. 353

9780137654765, TOC, 4/25/2022

Resources

Websites and online courses

Other Student Resources

Format	Digital Access Code
ISBN-13:	9780137654864
Online purchase price	$27.99
Availability	Not yet available.

Course Resources

Format	Access Code Card
ISBN-13:	9780321953933
Online purchase price	$9.99
Availability	Available

Format	Study Card
ISBN-13:	9780134576831
Online purchase price	$6.65
Availability	This item is currently unavailable for purchase on our websites. Instructors, you may still place orders with your bookstore.

Format	Study Card
ISBN-13:	9780134576817
Online purchase price	$6.65
Availability	This item is currently unavailable for purchase on our websites. Instructors, you may still place orders with your bookstore.

Format	Study Card
ISBN-13:	9780134576831
Online purchase price	$6.65
Availability	This item is currently unavailable for purchase on our websites. Instructors, you may still place orders with your bookstore.

Format	Access Code Card
ISBN-13:	9780321953933
Online purchase price	$9.99
Availability	Available

Discipline Resources

Format	Study Card
ISBN-13:	9780134576855
Suggested retail price	$6.65
Availability	This item is currently unavailable for purchase on our websites. Instructors, you may still place orders with your bookstore.

Format	Study Card
ISBN-13:	9780134576794
Suggested retail price	$6.65
Availability	Available

Order

Pearson offers affordable and accessible purchase options to meet the needs of your students. Connect with us to learn more.

K12 Educators: Contact your Savvas Learning Company Account General Manager for purchase options. Instant Access ISBNs are for individuals purchasing with credit cards or PayPal.
Savvas Learning Company is a trademark of Savvas Learning Company LLC.

Digital

Paper

book cover — Even You Can Learn Statistics and Analytics: An Easy to Understand Guide, 4th Edition

Levine & Stephan

©2022 | Addison-Wesley Professional | 400 pp

Format	Paper
ISBN-13:	9780137654765
Suggested retail price	$34.99
Availability	Available

About the Author(s)

David M. Levine and David F. Stephan are part of a writing team known for their series of business statistics textbooks that include Basic Business Statistics, Business Statistics: A First Course, and Statistics for Managers Using Microsoft Excel. In long teaching careers at Baruch College, both were known for their classroom innovations, with Levine being honored with a Presidential Excellence Award for Distinguished Teaching Award and Stephan granted the privilege to design and develop the Colleges first computer-based classroom. Both are active members of the Data, Analytics and Statistics Instruction SIG of the Decision Sciences Institute.

Levine is Professor Emeritus of Information Systems at Baruch College. He is nationally recognized innovator in business statistics education and is also the coauthor of Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. Levine is also the author or coauthor of four books about statistical quality management: Statistics for Six Sigma Green Belts and Champions, Six Sigma for Green Belts and Champions, Design for Six Sigma for Green Belts and Champions, and Quality Management, 3rd Edition. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist, and has given numerous talks at American Statistical Association, Decision Sciences Institute, and Making Statistics More Effective in Schools of Business conferences.

During his more than 20 years at Baruch College, Stephan devised techniques for teaching computer applications such as Microsoft Excel in a business context and developed future-forward courses that explored the effects of emerging digital technologies. He also served as the associate director of a U.S. Department of Education FIPSE project that successfully integrated interactive media into classroom instruction for the humanities.. Stephan is also the developer of PHStat, the statistics add-in for Microsoft Excel distributed by Pearson Education.

Get the eTexts you need starting at $9.99/mo with Pearson+