Statistics for Managers Using Microsoft Excel 8th edition [Kõva köide]

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
Preparing to Use Microsoft Excel for Statistics REFERENCES KEY TERMS
EXCEL GUIDE
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 Preparation 1.5 Types of Survey Errors
CONSIDER THIS: New Media Surveys/Old Sampling Problems SUMMARY
REFERENCES KEY TERMS USING STATISTICS: Defining Moments, Revisited
CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR
CHAPTER Managing Ashland MultiComm Services CardioGood Fitness
Clear Mountain State Student Survey Learning with the Digital Cases
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 and Visualizing a Mix of Variables 2.7 The Challenge in
Organizing and Visualizing Variables USING STATISTICS: The Choice is
Yours, Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS
CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR
CHAPTER Managing Ashland MultiComm Services Digital Case
CardioGood Fitness The Choice is Yours Follow-Up Clear Mountain State
Student Survey CHAPTER 2 EXCEL GUIDE
3. Numerical Descriptive
Measures USING STATISTICS: More Descriptive Choices 3.1 Central
Tendency 3.2 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
SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR
UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing
Ashland MultiComm Services Digital Case CardioGood Fitness More
Descriptive Choices Follow-up Clear Mountain State Student Survey
CHAPTER 3 EXCEL GUIDE
4. Basic Probability USING STATISTICS:
Possibilities at M&R Electronics World 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: Possibilities at M&R Electronics World, Revisited
SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR
UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES DIGITAL CASE
CardioGood Fitness The Choice is Yours Follow-Up Clear Mountain State
Student Survey CHAPTER 4 EXCEL GUIDE
5. Discrete Probability
Distributions USING STATISTICS: Events of Interest at Ricknel Home
Centers 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 SUMMARY REFERENCES KEY EQUATIONS KEY TERMS
CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER
Managing Ashland MultiComm Services Digital Case 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 SUMMARY REFERENCES KEY
EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER REVIEW
PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services
CardioGood Fitness More Descriptive Choices Follow-up Clear Mountain
State Student Survey Digital Case 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 SUMMARY KEY EQUATIONS KEY TERMS
CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR
CHAPTER Managing Ashland Multicomm Services Digital Case CHAPTER
7 EXCEL GUIDE
8. Confidence Interval Estimation USING STATISTICS:
Getting Estimates at Ricknel Home Centers 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 USING STATISTICS: Getting Estimates ... , Revisited
SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR
UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing
Ashland MultiComm Services Digital Case Sure Value Convenience Stores
CardioGood Fitness More Descriptive Choices Follow-Up Clear
Mountain State Student Survey 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
USING STATISTICS: Significant Testing ..., Revisited SUMMARY
REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm
Services Digital Case Sure Value Convenience Stores 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 SUMMARY
REFERENCES KEY TERMS CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER
Managing Ashland MultiComm Services Digital Case Sure Value
Convenience Stores CardioGood Fitness More Descriptive Choices
Follow-Up Clear Mountain State Student Survey 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
SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR
UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing
Ashland MultiComm Services Phase Phase Digital Case Sure Value
Convenience Stores CardioGood Fitness More Descriptive Choices
Follow-Up Clear Mountain State Student Survey 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 USING
STATISTICS: Avoiding Guesswork..., Revisited SUMMARY REFERENCES
KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING CHAPTER
REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm Services
Digital Case Sure Value Convenience Stores CardioGood Fitness
More Descriptive Choices Follow-Up Clear Mountain State Student Survey
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 SUMMARY
REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland
MultiComm Services Digital Case Brynne Packaging 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 r2, Adjusted r2, and the Overall F Test 14.3 Residual Analysis
for the Multiple Regression Model 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
14.7 Logistic Regression USING STATISTICS: The Multiple Effects ...,
Revisited SUMMARY REFERENCES KEY EQUATIONS KEY TERMS
CHECKING YOUR UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER
Managing Ashland MultiComm Services Digital Case CHAPTER 14 EXCEL
GUIDE
15. Multiple Regression Model Building USING STATISTICS:
Valuing Parsimony at WSTA-TV 15.1 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
SUMMARY REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR
UNDERSTANDING CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER The
Mountain States Potato Company Sure Value Convenience Stores Digital
Case The Craybill Instrumentation Company Case More Descriptive
Choices Follow-Up CHAPTER 15 EXCEL GUIDE
16. Time-Series
Forecasting USING STATISTICS: Principled Forecasting 16.1 The
Importance of Business Forecasting 16.2 Component Factors of Time-Series
Models 16.3 Smoothing an Annual Time Series 16.4 Least-Squares Trend
Fitting and Forecasting 16.5 Autoregressive Modeling for Trend Fitting and
Forecasting 16.6 Choosing an Appropriate Forecasting Model 16.7
Time-Series Forecasting of Seasonal Data 16.8 Index Numbers Consider This
USING STATISTICS: Principled Forecasting, Revisited SUMMARY
REFERENCES KEY EQUATIONS KEY TERMS CHECKING YOUR UNDERSTANDING
CHAPTER REVIEW PROBLEMS CASES FOR CHAPTER Managing Ashland MultiComm
Services Digital Case CHAPTER 16 EXCEL GUIDE
17. Getting Ready
to Analyze Data in the Future USING STATISTICS: Mounting Future Analyses
17.1 Analyzing Numerical Variables 17.2 Analyzing Categorical Variables
17.3 Introduction to Business Analytics USING STATISTICS: Back to
Arlingtons for the Future 17.4 Descriptive Analytics 17.5 Predictive
Analytics USING STATISTICS: The Future to be Visited REFERENCES
CHAPTER REVIEW PROBLEMS CHAPTER 17 EXCEL GUIDE
18. Statistical
Applications in Quality Management (online) USING STATISTICS: Finding
Quality at the Beachcomber 18.1 The Theory of Control Charts 18.2 Control
Chart for the Proportion: The p Chart 18.3 The Red Bead Experiment:
Understanding Process Variability 18.4 Control Chart for an Area of
Opportunity: The c Chart 18.5 Control Charts for the Range and the Mean
18.6 Process Capability 18.7 Total Quality Managementice 18.8 Six Sigma
USING STATISTICS: Finding Quality at the Beachcomber, Revisited SUMMARY
REFERENCES KEY EQUATIONS KEY TERMS CHAPTER REVIEW PROBLEMS
THE HARNSWELL SEWING MACHINE COMPANY CASE MANAGING ASHLAND MULTICOMM
SERVICES CHAPTER 18 EXCEL GUIDE
19. Decision Making (online)
USING STATISTICS: Reliable Decision Making 19.1 Payoff Tables and Decision
Trees 19.2 Criteria for Decision Making 19.3 Decision Making with Sample
Information 19.4 Utility CONSIDER THIS: Risky Business USING
STATISTICS: Reliable Decision-Making, Revisited SUMMARY 19.23
REFERENCES 19.23 KEY EQUATIONS 19.23 KEY TERMS 19.23 CHAPTER 19
EXCEL GUIDE 19.27 Appendices A. Basic Math Concepts and Symbols
A.1 Rules for Arithmetic Operations A.2 Rules for Algebra: Exponents and
Square Roots A.3 Rules for Logarithms A.4 Summation Notation A.5
Statistical Symbols A.6 Greek Alphabet B. Important Excel and Minitab
Skills and Concepts B.1 Which Excel Do You Use? B.2 Basic Operations
B.2 Formulas and Cell References B.4 Entering a Formula B.5
Formatting Cell Contents B.6 Formatting Charts B.7 Selecting Cell
Ranges for Charts B.8 Deleting the "Extra" Histogram Bar B.9 Creating
Histograms for Discrete Probability Distributions C. Online Resources
C.1 About the Online Resources for This Book C.2 Accessing the Online
Resources C.3 Details Online Resources C.4 PHStat D. Configuring
Microsoft Excel D.1 Getting Microsoft Excel Ready for Use D.2
Checking for the Presence of the Analysis ToolPak or Solver Add-Ins D.3
Configuring Microsoft Windows Excel Security Settings D.4 Opening
Pearson-Supplied Add-Ins 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, dI and dU, of the
Durbin-Watson Statistic, D (Critical Values Are One-Sided) E.9 Control
Chart Factors E.10 The Standardized Normal Distribution online F.
Useful Excel Knowledge F.1 Useful Keyboard Shortcuts F.2 Verifying
Formulas and Worksheets F.3 New Function Names F.4 Understanding the
Nonstatistical Functions G. Software FAQs G.1 PHStat FAQs G.2
Microsoft Excel FAQs Self-Test Solutions and Answers to Selected
Even-Numbered Problems Index

David M. Levine is Professor Emeritus of Statistics and Computer Information Systems at Baruch College (City University of New York). He received B.B.A. and M.B.A. degrees in statistics from City College of New York and a Ph.D. from New York University in industrial engineering and operations research. He is nationally recognized as a leading innovator in statistics education and is the co-author of 14 books, including such best-selling statistics textbooks as Statistics for Managers Using Microsoft Excel, Basic Business Statistics: Concepts and Applications, Business Statistics: A First Course, and Applied Statistics for Engineers and Scientists Using Microsoft Excel and Minitab. He also is the co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics, currently in its second edition, Six Sigma for Green Belts and Champions and Design for Six Sigma for Green Belts and Champions, and the author of Statistics for Six Sigma Green Belts, all published by FT Press, a Pearson imprint, and Quality Management, third edition, McGraw-Hill/Irwin. He is also the author of Video Review of Statistics and Video Review of Probability, both published by Video Aided Instruction, and the statistics module of the MBA primer published by Cengage Learning. He has published articles in various journals, including Psychometrika, The American Statistician, Communications in Statistics, Decision Sciences Journal of Innovative Education, Multivariate Behavioral Research, Journal of Systems Management, Quality Progress, and The American Anthropologist, and he has given numerous talks at the Decision Sciences Institute (DSI), American Statistical Association (ASA), and Making Statistics More Effective in Schools and Business (MSMESB) conferences. Levine has also received several awards for outstanding teaching and curriculum development from Baruch College. David F. Stephan is an independent instructional technologist. He was an Instructor/Lecturer of Computer Information Systems at Baruch College (City University of New York) for over 20 years and also served as an Assistant to the Provost and to the Dean of the School of Business & Public Administration for computing. He pioneered the use of computer classrooms for business teaching, devised interdisciplinary multimedia tools, and created techniques for teaching computer applications in a business context. He also conducted the first large-scale controlled experiment to show the benefit of teaching Microsoft Excel in a business case context to undergraduate students. An avid developer, he created multimedia courseware while serving as the Assistant Director of a Fund for the Improvement of Postsecondary Education (FIPSE) project at Baruch College. Stephan is also the originator of PHStat, the Pearson Education statistical add-in for Microsoft Excel and a co-author of Even You Can Learn Statistics: A Guide for Everyone Who Has Ever Been Afraid of Statistics and Practical Statistics by Example Using Microsoft Excel and Minitab. He is currently developing ways to extend the instructional materials that he and his co-authors develop to mobile and cloud computing platforms as well as develop social-media facilitated means to support learning in introductory business statistics courses. Stephan received a B.A. in geology from Franklin and Marshall College and a M.S. in computer methodology from Baruch College (City University of New York). Kathryn A. Szabat is Associate Professor and Chair of Business Systems and Analytics at LaSalle University. She teaches undergraduate and graduate courses in business statistics and operations management. She also teaches as Visiting Professor at the Ecole Superieure de Commerce et de Management (ESCEM) in France. Szabat's research has been published in International Journal of Applied Decision Sciences, Accounting Education, Journal of Applied Business and Economics, Journal of Healthcare Management, and Journal of Management Studies. Scholarly chapters have appeared in Managing Adaptability, Intervention, and People in Enterprise Information Systems; Managing, Trade, Economies and International Business; Encyclopedia of Statistics in Behavioral Science; and Statistical Methods in Longitudinal Research. Szabat has provided statistical advice to numerous business, non-business, and academic communities. Her more recent involvement has been in the areas of education, medicine, and nonprofit capacity building. Szabat received a B.S. in mathematics from State University of New York at Albany and M.S. and Ph.D. degrees in statistics, with a cognate in operations research, from the Wharton School of the University of Pennsylvania.