Even You Can Learn Statistics and Analytics : An Easy to Understand Guide.

Format:

Book

Author/Creator:

Levine, David M., 1946-

Contributor:

Stephan, David.

Series:

Pearson Business Analytics

Language:

English

Subjects (All):

Statistics--Popular works.

Statistics.

Statistics--Charts, diagrams, etc.

Physical Description:

1 online resource (448 pages)

Edition:

4th ed.

Place of Publication:

Sydney : Addison Wesley, 2022.

Summary:

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 analytics--for 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 ever--all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models--including 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 can--and you will!.

Contents:

Intro

About This eBook

Title Page

Copyright Page

Pearson's Commitment to Diversity, Equity, and Inclusion

Credits

Dedication

Table of Contents

Acknowledgments

About the Authors

Introduction: The Even You Can Learn Statistics and Analytics Owner's Manual

Mathematics Is Always Optional!

Learning with the Concept-Interpretation Approach

In-Chapter Aids

End-of-Chapter Features

Summary

Chapter 1. Fundamentals of Statistics

1.1 The First Three Words of Statistics

1.2 The Fourth and Fifth Words

1.3 The Branches of Statistics

1.4 Sources of Data

1.5 Sampling Concepts

1.6 Sample Selection Methods

Chapter 2. Presenting Data in Tables and Charts

2.1 Presenting Categorical Variables

2.2 Presenting Numerical Variables

2.3 "Bad" Charts

Chapter 3. Descriptive Statistics

3.1 Measures of Central Tendency

3.2 Measures of Position

3.3 Measures of Variation

3.4 Shape of Distributions

Chapter 4. Probability

4.1 Events

4.2 More Definitions

4.3 Some Rules of Probability

4.4 Assigning Probabilities

Chapter 5. Probability Distributions

5.1 Probability Distributions for Discrete Variables

5.2 The Binomial and Poisson Probability Distributions

5.3 Continuous Probability Distributions and the Normal Distribution

5.4 The Normal Probability Plot

Chapter 6. Sampling Distributions and Confidence Intervals

6.1 Foundational Concepts

6.2 Sampling Error and Confidence Intervals

6.3 Confidence Interval Estimate for the Mean Using the t Distribution (σ Unknown)

6.4 Confidence Interval Estimation for Categorical Variables

6.5 Confidence Interval Estimation When Normality Cannot Be Assumed

Chapter 7. Fundamentals of Hypothesis Testing

7.1 The Null and Alternative Hypotheses

7.2 Hypothesis Testing Issues

7.3 Decision-Making Risks.

7.4 Performing Hypothesis Testing

7.5 Types of Hypothesis Tests

Chapter 8. Hypothesis Testing: Z and t Tests

8.1 Test for the Difference Between Two Proportions

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

8.3 The Paired t Test

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

9.1 Chi-Square Test for Two-Way Tables

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

Chapter 10. Simple Linear Regression

10.1 Basics of Regression Analysis

10.2 Developing a Simple Linear Regression Model

10.3 Measures of Variation

10.4 Inferences About the Slope

10.5 Common Mistakes When Using Regression Analysis

Chapter 11. Multiple Regression

11.1 The Multiple Regression Model

11.2 Coefficient of Multiple Determination

11.3 The Overall F Test

11.4 Residual Analysis for the Multiple Regression Model

11.5 Inferences Concerning the Population Regression Coefficients

Chapter 12. Introduction to Analytics

12.1 Basic Concepts

12.2 Descriptive Analytics

12.3 Typical Descriptive Analytics Visualizations

Chapter 13. Predictive Analytics

13.1 Predictive Analytics Methods

13.2 More About Predictive Models

13.3 Tree Induction

13.4 Clustering

13.5 Association Analysis

Appendix A. Microsoft Excel Operation and Configuration

A.1 Conventions for Keystroke and Mouse Operations

A.2 Microsoft Excel Technical Configuration

Appendix B. Review of Arithmetic and Algebra

Assessment Quiz

Symbols

Answers to Quiz

Appendix C. Statistical Tables

Appendix D. Spreadsheet Tips

Chart Tips

Function Tips

Appendix E. Advanced Techniques

Advanced How-To Tips

Analysis ToolPak Tips

Appendix F. Documentation for Downloadable Files.

F.1 Downloadable Data Files

F.2 Downloadable Spreadsheet Solution Files

Index.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9780137654840

0137654847

9780137654789

0137654782

9780137654871

0137654871

OCLC:

1325717918