## Applied Statistics for Business and Management using Microsoft Excel

Author: Linda Herkenhoff
Publisher: Springer Science & Business Media
ISBN: 9781461484233
Release Date: 2013-11-26
Genre: Computers

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

## Applied Statistics for Business and Management Using Microsoft Excel

Author: Linda Herkenhoff
Publisher:
ISBN: 1461484243
Release Date: 2013-10-31
Genre:

## Applied Statistics for Business and Management using Microsoft Excel

Author: Linda Herkenhoff
Publisher: Springer
ISBN: 1461484227
Release Date: 2013-11-26
Genre: Computers

Applied Business Statistics for Business and Management using Microsoft Excel is the first book to illustrate the capabilities of Microsoft Excel to teach applied statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical statistical problems in industry. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in statistics courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Applied Business Statistics for Business and Management capitalizes on these improvements by teaching students and practitioners how to apply Excel to statistical techniques necessary in their courses and workplace. Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems. Practice problems are provided at the end of each chapter with their solutions.

## Statistics for Managers Using Microsoft Excel

Author: David M. Levine
Publisher: Pearson
ISBN: 9780134175805
Release Date: 2016-06-21

## Applied Statistics for Engineers and Scientists

Author: David M. Levine
Publisher: Pearson
ISBN: UCSD:31822033772393
Release Date: 2001
Genre: Computers

This applied book for engineers and scientists, written in a non-theoretical manner, focuses on underlying principles that are important in a wide range of disciplines. It emphasizes the interpretation of results, the presentation and evaluation of assumptions, and the discussion of what should be done if the assumptions are violated. Integration of spreadsheet and statistical software complete this treatment of statistics. Chapter topics include describing and summarizing data; probability and discrete probability distributions; continuous probability distributions and sampling distributions; process control charts; estimation procedures; hypothesis testing; the design of experiments; and simple linear and multiple regression models. For individuals interested in learning statistics–without a high level of mathematical sophistication. Please Note: The CD-ROM originally included is no longer available. However, the data files can be downloaded at www.prenhall.com/sincich. And the PHStat2 content can be purchased standalone.

## Applied Statistics with Microsoft Excel

Author: Gerald Keller
Publisher: Duxbury Press
ISBN: 0534371124
Release Date: 2001
Genre: Computers

Gerald Keller's new APPLIED STATISTICS WITH MICROSOFTÃ‚Â® EXCEL integrates Excel into the general introductory statistics course. Keller, the co-author of the market-leading STATISTICS FOR MANAGEMENT AND ECONOMICS, Fifth Edition, incorporates his proven three-step problem-solving process throughout this book. The first step, "Identify," is the work a statistician does before the calculations are performed, which entails organizing the experiment, gathering the data, and deciding which statistical techniques to employ. The second step, "Compute," is the computation with Excel. In this step, Keller shows the manual calculation for the simplest of techniques only. For example, he describes how to calculate the sample mean, variance, and standard deviation, how to compute the z-interval estimate of, and the z-test of. The third step, "Interpret," is the interpretation of the computer output, which requires an understanding of statistical concepts.

## Applied Statistics in Business and Economics

Author: Lori Seward
Publisher: McGraw-Hill Education
ISBN: 0073521485
Release Date: 2012-01-06

The 4th Edition of Applied Statistics in Business & Economics provides real meaning to the use of statistics in real world by using real business situations and real data while appealing students to know why rather than just the how. Four distinct objectives have been met to follow this premise: Objective 1: Communicate the Meaning of Variation in a BusinessContext Objective 2: Use Real Data and Real Business Applications Objective 3: Incorporate Current Statistical Practices and Offer Practical Advice Objective 4: Provide More In-Depth Explanation of the Why and Let the Software Take Care of the How The emphasis of the 4th edition remains the same: thinking about data, choosing appropriate analytic tools, using computers effectively, and recognising limitations of statistics. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.

## Business and Economic Statistics Using Microsoft Excel

Author: Ken Black
Publisher: South-Western Pub
ISBN: 032401726X
Release Date: 2001

At many schools, professors and students require that Microsoft- Excel be integrated throughout their one-term course. Thoroughly integrating the use of Excel, this concise text will serve that need. Coverage is focused on applied processes that are handled by Excel. In addition, Excel macro add-ins accompany the text on a CD-ROM packaged with new copies of the book."

Author: Derek L. Waller
Publisher: Routledge
ISBN: 9781134505005
Release Date: 2016-12-19

Statistics for Business explains the fundamentals of statistical analysis in a lucid, pragmatic way. A thorough knowledge of statistics is essential for decision making in all corners of business and management. By collecting, organizing and analyzing statistical data you can express what you know, benchmark your current situation, and estimate future outcomes. Based entirely on Microsoft Excel, this book covers a spectrum of statistic fundamentals from basic principles, to probability, sampling, hypothesis testing, forecasting, statistical process control and six-sigma management. This second edition is packed with features to aid understanding and help ensure that every aspect of your knowledge of statistics is applicable to practice, including: Icebreakers introducing each chapter that relate statistics to the real world, drawn from management and hospitality situations Detailed worked examples in each chapter Over 140 case-exercises complete with objective, situation, requirements, and answers A complete glossary of key terminology and formulas, mathematical relationships, and Excel relationships and functions A brand new companion website containing slides, worked-out-solutions to the case-exercises, and a test bank With a clear and accessible style this book makes statistics easier to understand. It is ideal for business, management, tourism and hospitality students who want to learn how to apply statistics to the real world.

## Even You Can Learn Statistics and Analytics

Author: David M. Levine
Publisher: FT Press
ISBN: 9780133382686
Release Date: 2014-12-03

Thought you couldn’t learn statistics? You can – and you will! Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics – for everyone! Now fully updated for "big data" analytics and the newest applications, it'll teach you all the statistical techniques you’ll need for finance, marketing, quality, science, social science, and more – one easy step at a time. Simple jargon-free explanations help you understand every technique, and extensive practical 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! 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. If you need to understand, evaluate, or use statistics in business, academia, or anywhere else, this is the book you've been searching for!

## Principles of Applied Statistics

Author: M. C. Fleming
Publisher: Cengage Learning EMEA
ISBN: 1861525869
Release Date: 2000

This guide examines the principles of statistical data, probability, regression and correlation analysis, forecasting and time-series analysis, emphasizing their practical applications.

## Regression Analysis

Author: J. Holton Wilson
ISBN: 9781631573866
Release Date: 2015-12-11

The technique of regression analysis is used so often in business and economics today that an understanding of its use is necessary for almost everyone engaged in the field. This book covers essential elements of building and understanding regression models in a business/economic context in an intuitive manner. The book provides a non-theoretical treatment that is accessible to readers with even a limited statistical background. This book describes exactly how regression models are developed and evaluated. The data used in the book are the kind of data managers are faced with in the real world. The book provides instructions and screen shots for using Microsoft Excel to build business/economic regression models. Upon completion, the reader will be able to interpret the output of the regression models and evaluate the models for accuracy and shortcomings.

## Business and Financial Statistics Using Minitab 12 and Microsoft Excel 97

Author: John C. Lee
Publisher: World Scientific
ISBN: 9810238797
Release Date: 2000

The personal computer has made statistical analysis easier and cheaper. Previously, statistical analysis was difficult for many reasons. Two of the reasons were: (1) statistical analysis was slow and tedious because calculations were done by hand; (2) it was costly because it was done on mainframes and mainframe time was expensive. This book discusses statistical analysis using two personal computer software packages, Minitab 12 and Microsoft Excel 97, Minitab was chosen because it is powerful and is one of the more user-friendly statistical software packages. Microsoft Excel 97 was selected because it is one of the most important software packages to learn and most companies use Microsoft Excel. Excel is a software package that is not dedicated to statistical analysis like Minitab, but it has many statistical features and a very powerful development environment for writing customized statistical analysis. The book is organized in a textbook format. Each chapter discusses statistical conceptsand illustrates the use of Minitab and/or Excel. Often it becomes necessary to write macros (programs) in order to do specific statistical analysis. This books prints the codes of the macros for the reader to use and study. This is valuable because usually the difficult part is how to write the code. What the reader will find after studying this book is that statistical analysis will become more fun because he will have more time doing statistical analysis and make less statistical calculations.

## Introduction to Quantitative Methods in Business

Author: Bharat Kolluri
Publisher: John Wiley & Sons
ISBN: 9781119220978
Release Date: 2016-08-01
Genre: Mathematics