Statistics for Managers Using Microsoft Excel, 9/e

David M. Levine, Baruch College, City University of New York

David F. Stephan, Two Bridges Instructional Technology

Kathryn A. Szabat, La Salle University

ISBN-13:
ISBN-10:
Publisher: Pearson Education, Inc.
Copyright: 2021
Published: 04/21/2020

Download Page: www.pearsonhighered.com/levine and then click on this title

First Things First

USING STATISTICS: “The Price of Admission”

FTF.1 Think Differently About Statistics

FTF.2 Business Analytics: The Changing Face of Statistics

FTF.3 Getting Started Learning Statistics

FTF.4 Starting Point for Using Software

FTF.5 Starting Point for Using Microsoft Excel

1. Defining and Collecting Data

USING STATISTICS: “Defining Moments”

1.1 Defining Variables

1.2 Collecting Data

1.3 Types of Sampling Methods

1.4 Data Cleaning

1.5 Other Data Preprocessing Tasks

1.6 Types of Survey Errors

CONSIDER THIS: New Media Surveys/Old Sampling Problems

CHAPTER 1 EXCEL GUIDE

2. Organizing and Visualizing Variables

USING STATISTICS: “The Choice is Yours”

2.1 Organizing Categorical Variables

2.2 Organizing Numerical Variables

2.3 Visualizing Categorical Variables

2.4 Visualizing Numerical Variables

2.5 Visualizing Two Numerical Variables

2.6 Organizing a Mix of Variables

2.7 Visualizing a Mix of Variables

2.8 Filtering and Querying Data

2.9 Pitfalls in Organizing and Visualizing Variables

CHAPTER 2 EXCEL GUIDE

3. Numerical Descriptive Measures

USING STATISTICS: More Descriptive Choices

3.1 Measures of Central Tendency

3.2 Measures of Variation and Shape

3.3 Exploring Numerical Data

3.4 Numerical Descriptive Measures for a Population

3.5 The Covariance and the Coefficient of Correlation

3.6 Statistics: Pitfalls and Ethical Issues

CHAPTER 3 EXCEL GUIDE

4. Basic Probability

USING STATISTICS: Probable Outcomes at Fredco Warehouse Club

4.1 Basic Probability Concepts

4.2 Conditional Probability

4.3 Ethical Issues and Probability

4.4 Bayes’ Theorem

CONSIDER THIS: Divine Providence and Spam

4.5 Counting Rules

USING STATISTICS: Probable Outcomes at Fredco Warehouse Club, Revisited

CHAPTER 4 EXCEL GUIDE

5. Discrete Probability Distributions

USING STATISTICS: Events of Interest at Ricknel Home

5.1 The Probability Distribution for a Discrete Variable

5.2 Binomial Distribution

5.3 Poisson Distribution

5.4 Covariance of a Probability Distribution and its Application in Finance

5.5 Hypergeometric Distribution

CHAPTER 5 EXCEL GUIDE

6. The Normal Distribution and Other Continuous Distributions

USING STATISTICS: Normal Load Times at MyTVLab

6.1 Continuous Probability Distributions

6.2 The Normal Distribution

6.3 Evaluating Normality

6.4 The Uniform Distribution

6.5 The Exponential Distribution

6.6 The Normal Approximation to the Binomial Distribution

CHAPTER 6 EXCEL GUIDE

7. Sampling Distributions

USING STATISTICS: Sampling Oxford Cereals

7.1 Sampling Distributions

7.2 Sampling Distribution of the Mean

7.3 Sampling Distribution of the Proportion

7.3 Sampling from Finite Populations

CHAPTER 7 EXCEL GUIDE

8. Confidence Interval Estimation

USING STATISTICS: Getting Estimates at Ricknel Home

8.1 Confidence Interval Estimate for the Mean (Known)

8.2 Confidence Interval Estimate for the Mean (Unknown)

8.3 Confidence Interval Estimate for the Proportion

8.4 Determining Sample Size

8.5 Confidence Interval Estimation and Ethical Issues

8.6 Application of Confidence Interval Estimation in Auditing

8.7 Estimation and Sample Size Estimation for Finite Populations

8.8 Bootstrapping

CHAPTER 8 EXCEL GUIDE

9. Fundamentals of Hypothesis Testing: One-Sample Tests

USING STATISTICS: Significant Testing at Oxford Cereals

9.1 Fundamentals of Hypothesis-Testing Methodology

9.2 t Test of Hypothesis for the Mean (Unknown)

9.3 One-Tail Tests

9.4 Z Test of Hypothesis for the Proportion

9.5 Potential Hypothesis-Testing Pitfalls and Ethical Issues

9.6 Power of the Test

CHAPTER 9 EXCEL GUIDE

10. Two-Sample Tests

USING STATISTICS: Differing Means for Selling Streaming Media Players at Arlingtons?

10.1 Comparing the Means of Two Independent Populations

10.2 Comparing the Means of Two Related Populations

10.3 Comparing the Proportions of Two Independent Populations

10.4 F Test for the Ratio of Two Variances

10.5 Effect Size

USING STATISTICS: Differing Means for Selling…Revisited

CHAPTER 10 EXCEL GUIDE

11. Analysis of Variance

USING STATISTICS: The Means to Find Differences at Arlingtons

11.1 The Completely Randomized Design: One-Way ANOVA

11.2 The Factorial Design: Two-Way ANOVA

11.3 The Randomized Block Design

11.4 Fixed Effects, Random Effects, and Mixed Effects Models

USING STATISTICS: The Means to Find Differences at Arlingtons Revisited

CHAPTER 11 EXCEL GUIDE

12. Chi-Square and Nonparametric Tests

USING STATISTICS: Avoiding Guesswork About Resort Guests

12.1 Chi-Square Test for the Difference Between Two Proportions

12.2 Chi-Square Test for Differences Among More Than Two Proportions

12.3 Chi-Square Test of Independence

12.4 Wilcoxon Rank Sum Test: A Nonparametric Method for Two Independent Populations

12.5 Kruskal-Wallis Rank Test: A Nonparametric Method for the One-Way ANOVA

12.6 McNemar Test for the Difference Between Two Proportions (Related Samples)

12.7 Chi-Square Test for the Variance or Standard Deviation

12.8 Wilcoxon Signed RanksTest for Two Related Populations

USING STATISTICS: Avoiding Guesswork…, Revisited

CHAPTER 12 EXCEL GUIDE

13. Simple Linear Regression

USING STATISTICS: Knowing Customers at Sunflowers Apparel

13.1 Types of Regression Models

13.2 Determining the Simple Linear Regression Equation

13.3 Measures of Variation

13.4 Assumptions of Regression

13.5 Residual Analysis

13.6 Measuring Autocorrelation: The Durbin-Watson Statistic

13.7 Inferences About the Slopeand Correlation Coefficient

13.8 Estimation of Mean Values and Prediction of Individual Values

13.9 Potential Pitfalls in Regression

USING STATISTICS: Knowing Customers…, Revisited

CHAPTER 13 EXCEL GUIDE

14. Introduction to Multiple Regression

USING STATISTICS: The Multiple Effects of OmniPower Bars

14.1 Developing a Multiple Regression Model

14.2 Evaluating a Multiple Regression Model

14.3 Multiple Regression Residual Analysis

14.4 Inferences Concerning the Population Regression Coefficients

14.5 Testing Portions of the Multiple Regression Model

14.6 Using Dummy Variables and Interaction Terms in Regression Models

CONSIDER THIS: What Is Not Normal? (Using a Categorical Dependent Variable)

14.7 Logistic Regression

14.8 Cross-Validation

USING STATISTICS: The Multiple Effects…, Revisited

CHAPTER 14 EXCEL GUIDE

15. Multiple Regression Model Building

USING STATISTICS: Valuing Parsimony at WSTA-TV

15.1 The Quadratic Regression Model

15.2 Using Transformations in Regression Models

15.3 Collinearity

15.4 Model Building

15.5 Pitfalls in Multiple Regression and Ethical Issues

USING STATISTICS: Valuing Parsimony…, Revisited

CHAPTER 15 EXCEL GUIDE

16. Time-Series Forecasting

USING STATISTICS: Is the ByYourDoor Service Trending?

16.1 Time-Series Component Factors

16.2 Smoothing an Annual Time Series

16.3 Least-Squares Trend Fitting and Forecasting

16.4 Autoregressive Modeling for Trend Fitting and Forecasting

16.5 Choosing an Appropriate Forecasting Model

16.6 Time-Series Forecasting of Seasonal Data

16.7 Index Numbers

USING STATISTICS: Is the ByYourDoor Service Trending? Revisited

CHAPTER 16 EXCEL GUIDE

17. Business Analytics

USING STATISTICS: Back to Arlingtons for the Future

17.1 Business Analytics Overview

CONSIDER THIS: What’s My Major If I Want to Be a Data Miner?

17.2 Descriptive Analytics

17.3 Decision Trees

17.4 Clustering

17.5 Association Analysis

17.6 Text Analytics

17.7 Prescriptive Analytics

USING STATISTICS: Back to Arlingtons…, Revisited

CHAPTER 17 SOFTWARE GUIDE

18. Getting Ready to Analyze Data in the Future

USING STATISTICS: Mounting Future Analyses

18.1 Analyzing Numerical Variables

18.2 Analyzing Categorical Variables

USING STATISTICS: The Future to Be Visited

19. Statistical Applications in Quality Management (online)

USING STATISTICS: Finding Quality at the Beachcomber

19.1 The Theory of Control Charts

19.2 Control Chart for the Proportion: The p Chart

19.3 The Red Bead Experiment: Understanding Process Variability

19.4 Control Chart for an Area of Opportunity: The c Chart

19.5 Control Charts for the Range and the Mean

19.6 Process Capability

19.7 Total Quality Management

19.8 Six Sigma

USING STATISTICS: Finding Quality at the Beachcomber, Revisited

CHAPTER 19 EXCEL GUIDE

20. Decision Making (online)

USING STATISTICS: Reliable Decision Making

20.1 Payoff Tables and Decision Trees

20.2 Criteria for Decision Making

20.3 Decision Making with Sample Information

20.4 Utility

CHAPTER 20 EXCEL GUIDE

Appendix A. Basic Math Concepts and Symbols

Appendix B. Important Software Skills

B.1 Identifying the Software Version

B.2 Formulas

B.3 Excel Cell References

B.4 Excel Worksheet Formatting

B.5E Excel Chart Formatting

B.5T Tableau Chart Formatting

B.6 Creating Histograms for Discrete Probability Distributions (Excel)

B.7 Deleting the “Extra” Histogram Bar (Excel)

Appendix C. Online Resources

C.1 About the Online Resources for This Book

C.2 Data Files

C.3 Microsoft Excel Files Integrated With This Book

C.4 Supplemental Files

Appendix D. Configuring Software

D.1 Microsoft Excel Configuration

D.2 Supplemental Files

Appendix E. Tables

E.1 Table of Random Numbers

E.2 The Cumulative Standardized Normal Distribution

E.3 Critical Values of t

E.4 Critical Values of

E.5 Critical Values of F

E.6 Lower and Upper Critical Values, T1, of the Wilcoxon Rank Sum Test

E.7 Critical Values of the Studentized Range, Q

E.8 Critical Values of the Durbin-Watson Statistic, D

E.9 Control Chart Factors

E.10 The Standardized Normal Distribution online

Appendix F. Useful Knowledge

F.1 Keyboard Shortcuts

F.2 Understanding the Nonstatistical Functions

Appendix G. Software FAQs

G.1 Microsoft Excel FAQs

G.2 PHStat FAQs

G.2 Tableau FAQs

Appendix H. All about PHStat

H.1 What is PHStat?

H.2 obtaining and Setting Up PHStat FAQs

H.3 Using PHStat

H.4 PHStat Procedures, by Category

Self-Test Solutions and Answers to Selected Even-Numbered Problems

Index

COMING SOON: Description of features.