Search Results for "statistical-analysis-microsoft-excel-2013"

Statistical Analysis

Statistical Analysis

Microsoft Excel 2016

  • Author: Conrad Carlberg
  • Publisher: Que Publishing
  • ISBN: 0134840488
  • Category: Business & Economics
  • Page: 576
  • View: 6973
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USE EXCEL’S STATISTICAL TOOLS TO TRANSFORM YOUR DATA INTO KNOWLEDGE Nationally recognized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes. You’ll learn how to use correlation and regression, analyze variance and covariance, and test statistical hypotheses using the normal, binomial, t, and F distributions. To help you make accurate inferences based on samples from a population, Carlberg offers insightful coverage of crucial topics ranging from experimental design to the statistical power of F tests. Updated for Excel 2016, this guide covers both modern consistency functions and legacy compatibility functions. Becoming an expert with Excel statistics has never been easier! In this book, you’ll find crystal-clear instructions, insider insights, and complete step-by-step guidance. Master Excel’s most useful descriptive and inferential statistical tools Understand how values cluster together or disperse, and how variables move or classify jointly Tell the truth with statistics—and recognize when others don’t Infer a population’s characteristics from a sample’s frequency distribution Explore correlation and regression to learn how variables move in tandem Use Excel consistency functions such as STDEV.S( ) and STDEV.P( ) Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in Identify skewed distributions using Excel’s new built-in box-and-whisker plots and histograms Evaluate statistical power and control risk Explore how randomized block and split plot designs alter the derivation of F-ratios Use coded multiple regression analysis to perform ANOVA with unbalanced factorial designs Analyze covariance with ANCOVA, and properly use multiple covariance Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2016 shortcuts

Predictive Analytics

Predictive Analytics

Microsoft® Excel 2016

  • Author: Conrad Carlberg
  • Publisher: Que Publishing
  • ISBN: 013468382X
  • Category: Business & Economics
  • Page: 384
  • View: 1013
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EXCEL 2016 PREDICTIVE ANALYTICS FOR SERIOUS DATA CRUNCHERS! Now, you can apply cutting-edge predictive analytics techniques to help your business win–and you don’t need multimillion-dollar software to do it. All the tools you need are available in Microsoft Excel 2016, and all the knowledge and skills are right here, in this book! Microsoft Excel MVP Conrad Carlberg shows you how to use Excel predictive analytics to solve real problems in areas ranging from sales and marketing to operations. Carlberg offers unprecedented insight into building powerful, credible, and reliable forecasts, helping you gain deep insights from Excel that would be difficult to uncover with costly tools such as SAS or SPSS. Fully updated for Excel 2016, this guide contains valuable new coverage of accounting for seasonality and managing complex consumer choice scenarios. Throughout, Carlberg provides downloadable Excel 2016 workbooks you can easily adapt to your own needs, plus VBA code–much of it open-source–to streamline especially complex techniques. Step by step, you’ll build on Excel skills you already have, learning advanced techniques that can help you increase revenue, reduce costs, and improve productivity. By mastering predictive analytics, you’ll gain a powerful competitive advantage for your company and yourself. Learn the “how” and “why” of using data to make better decisions, and choose the right technique for each problem Capture live real-time data from diverse sources, including third-party websites Use logistic regression to predict behaviors such as “will buy” versus “won’t buy” Distinguish random data bounces from real, fundamental changes Forecast time series with smoothing and regression Account for trends and seasonality via Holt-Winters smoothing Prevent trends from running out of control over long time horizons Construct more accurate predictions by using Solver Manage large numbers of variables and unwieldy datasets with principal components analysis and Varimax factor rotation Apply ARIMA (Box-Jenkins) techniques to build better forecasts and clarify their meaning Handle complex consumer choice problems with advanced logistic regression Benchmark Excel results against R results

Decision Analytics

Decision Analytics

Microsoft Excel

  • Author: Conrad Carlberg
  • Publisher: Que Publishing
  • ISBN: 0133481689
  • Category: Business & Economics
  • Page: 336
  • View: 5400
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Crunch Big Data to optimize marketing and more! Overwhelmed by all the Big Data now available to you? Not sure what questions to ask or how to ask them? Using Microsoft Excel and proven decision analytics techniques, you can distill all that data into manageable sets—and use them to optimize a wide variety of business and investment decisions. In Decision Analytics: Microsoft Excel, best selling statistics expert and consultant Conrad Carlberg will show you how—hands-on and step-by-step. Carlberg guides you through using decision analytics to segment customers (or anything else) into sensible and actionable groups and clusters. Next, you’ll learn practical ways to optimize a wide spectrum of decisions in business and beyond—from pricing to cross-selling, hiring to investments—even facial recognition software uses the techniques discussed in this book! Through realistic examples, Carlberg helps you understand the techniques and assumptions that underlie decision analytics and use simple Excel charts to intuitively grasp the results. With this foundation in place, you can perform your own analyses in Excel and work with results produced by advanced stats packages such as SAS and SPSS. This book comes with an extensive collection of downloadable Excel workbooks you can easily adapt to your own unique requirements, plus VBA code to streamline several of its most complex techniques. Classify data according to existing categories or naturally occurring clusters of predictor variables Cut massive numbers of variables and records down to size, so you can get the answers you really need Utilize cluster analysis to find patterns of similarity for market research and many other applications Learn how multiple discriminant analysis helps you classify cases Use MANOVA to decide whether groups differ on multivariate centroids Use principal components to explore data, find patterns, and identify latent factors Register your book for access to all sample workbooks, updates, and corrections as they become available at quepublishing.com/title/9780789751683.

Business Analysis

Business Analysis

Microsoft Excel 2010

  • Author: Conrad Carlberg
  • Publisher: Pearson Education
  • ISBN: 9780789746894
  • Category: Computers
  • Page: 528
  • View: 7958
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ANSWER KEY BUSINESS QUESTIONS CONTROL COMPANY FINANCES FORECAST SALES PREPARE BUSINESS CASES MAKE BETTER INVESTMENT DECISIONS IMPROVE QUALITY USE EXCEL 2010 TO GAIN DEEPER INSIGHTS, MAKE SMARTER DECISIONS, AND EARN MORE PROFITS Using real-world examples, Carlberg helps you put Excel’s features and functions to work and get the power of quantitative analysis behind your management decisions. Excel expert Conrad Carlberg shows how to use Excel 2010 to perform the core financial tasks every manager and entrepreneur must master: analyzing statements, planning and controlling company finances, making investment decisions, and managing sales and marketing. Using real-world examples, Carlberg helps you get the absolute most out of Excel 2010’s newest features and functions. Along the way, you’ll discover the fastest, best ways to handle essential tasks ranging from importing business data to analyzing profitability ratios. Becoming an Excel expert has never been easier! You’ll find crystal-clear instructions, insider insights, complete step-by-step projects, and more. It’s all complemented by an extraordinary set of web-based resources, from sample journals and ledgers to business forecasting tools. • Use Excel analysis tools to solve problems throughout the business • Build and work with income statements and balance sheets • Value inventories and current assets, and summarize transactions • Calculate working capital and analyze cash flows • Move from pro formas to operating budgets that help guide your management decisions • Prepare business cases incorporating everything from discount rates to margin and contribution analysis About MrExcel Library: Every book in the MrExcel Library pinpoints a specific set of crucial Excel skills, and presents focused tasks and examples for performing them rapidly and effectively. Selected by Bill Jelen, Microsoft Excel MVP and mastermind behind the leading Excel solutions website MrExcel.com, these books will: • Dramatically increase your productivity–saving you 50 hours a year, or more • Present proven, creative strategies for solving real-world problems • Show you how to get great results, no matter how much data you have • Help you avoid critical mistakes that even experienced users make

Statistical Analysis with Excel For Dummies

Statistical Analysis with Excel For Dummies

  • Author: Joseph Schmuller
  • Publisher: John Wiley & Sons
  • ISBN: 1119271169
  • Category: Computers
  • Page: 552
  • View: 3546
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There's nothing random about it—this is the book on statistical analysis with Excel Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world's most popular spreadsheet program to crunch numbers and interpret statistics—even if you've never taken a statistics or advanced math course. In no time, you'll learn to use Excel to create and translate statistics in everyday life, understand common statistical terms, and improve your classroom or professional skills. Statistics has a reputation for being a challenging, math-intensive pursuit—but it doesn't have to make your palms sweat. Using a minimum of equations and assuming no prior knowledge of statistics or Excel, this hands-on guide cuts through the jargon and shows you how to make sense of formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more. Use Excel's tools to analyze and understand data Apply statistical analysis to predict trends and make decisions Interpret sales figures, gambling odds, and sports stats Develop a grading curve or medical correlations Forget the mumbo jumbo! This guide shows you that statistical analysis with Excel can be easy, fun, and useful!

Applied Statistics for Business and Management using Microsoft Excel

Applied Statistics for Business and Management using Microsoft Excel

  • Author: Linda Herkenhoff,John Fogli
  • Publisher: Springer Science & Business Media
  • ISBN: 1461484235
  • Category: Computers
  • Page: 417
  • View: 9762
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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.

Microsoft Excel Data Analysis and Business Modeling

Microsoft Excel Data Analysis and Business Modeling

  • Author: Wayne Winston
  • Publisher: Microsoft Press
  • ISBN: 1509304223
  • Category: Computers
  • Page: 984
  • View: 4362
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Master business modeling and analysis techniques with Microsoft Excel 2016, and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers. This edition adds 150+ new problems with solutions, plus a chapter of basic spreadsheet models to make sure you’re fully up to speed. Solve real business problems with Excel–and build your competitive advantage Quickly transition from Excel basics to sophisticated analytics Summarize data by using PivotTables and Descriptive Statistics Use Excel trend curves, multiple regression, and exponential smoothing Master advanced functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Leverage the new charts in Excel 2016 (including box and whisker and waterfall charts) Make charts more effective by using Power View Tame complex optimizations by using Excel Solver Run Monte Carlo simulations on stock prices and bidding models Work with the AGGREGATE function and table slicers Create PivotTables from data in different worksheets or workbooks Learn about basic probability and Bayes’ Theorem Automate repetitive tasks by using macros

Data Analysis with Excel®

Data Analysis with Excel®

An Introduction for Physical Scientists

  • Author: Les Kirkup
  • Publisher: Cambridge University Press
  • ISBN: 9780521797375
  • Category: Science
  • Page: 446
  • View: 7357
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An essential introduction to data analysis techniques using spreadsheets, for undergraduate and graduate students.

Excel Data Analysis For Dummies

Excel Data Analysis For Dummies

  • Author: Stephen L. Nelson,E. C. Nelson
  • Publisher: John Wiley & Sons
  • ISBN: 1119077168
  • Category: Computers
  • Page: 384
  • View: 2502
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Want to take the guesswork out of analyzing data? Let Excel do all the work for you! Data collection, management and analysis is the key to making effective business decisions, and if you are like most people, you probably don't take full advantage of Excel's data analysis tools. With Excel Data Analysis For Dummies, 3rd Edition, you'll learn how to leverage Microsoft Excel to take your data analysis to new heights by uncovering what is behind all of those mind-numbing numbers. The beauty of Excel lies in its functionality as a powerful data analysis tool. This easy-to-read guide will show you how to use Excel in conjunction with external databases, how to fully leverage PivotTables and PivotCharts, tips and tricks for using Excel's statistical and financial functions, how to visually present your data so it makes sense, and information about the fancier, more advanced tools for those who have mastered the basics! Once you're up to speed, you can stop worrying about how to make use of all that data you have on your hands and get down to the business of discovering meaningful, actionable insights for your business or organization. Excel is the most popular business intelligence tool in the world, and the newest update – Microsoft Excel 2016 – features even more powerful features for data analysis and visualization. Users can slice and dice their data and create visual presentations that turn otherwise indecipherable reports into easy-to-digest presentations that can quickly and effectively illustrate the key insights you are seeking. Fully updated to cover the latest updates and features of Excel 2016 Learn useful details about statistics, analysis, and visual presentations for your data Features coverage of database and statistics functions, descriptive statistics, inferential statistics, and optimization modeling with Solver Helps anyone who needs insight into how to get things done with data that is unwieldy and difficult to understand With Excel Data Analysis For Dummies, 3rd Edition, you'll soon be quickly and easily performing key analyses that can drive organizational decisions and create competitive advantages.

Fundamentals of Forecasting Using Excel

Fundamentals of Forecasting Using Excel

  • Author: Kenneth D. Lawrence,Ronald K. Klimberg,Sheila M. Lawrence
  • Publisher: Industrial Press Inc.
  • ISBN: 9780831133351
  • Category: Computers
  • Page: 196
  • View: 1841
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Forecasting is an integral part of almost all business enterprises. This book provides readers with the tools to analyze their data, develop forecasting models and present the results in Excel. Progressing from data collection, data presentation, to a step-by-step development of the forecasting techniques, this essential text covers techniques that include but not limited to time series-moving average, exponential smoothing, trending, simple and multiple regression, and Box-Jenkins. And unlike other products of its kind that require either high-priced statistical software or Excel add-ins, this book does not require such software. It can be used both as a primary text and as a supplementary text. Highlights the use of Excel screen shots, data tables, and graphs. Features Full Scale Use of Excel in Forecasting without the Use of Specialized Forecast Packages Includes Excel templates. Emphasizes the practical application of forecasting. Provides coverage of Special Forecasting, including New Product Forecasting, Network Models Forecasting, Links to Input/Output Modeling, and Combination of Forecasting.

A Guide to Microsoft Excel 2013 for Scientists and Engineers

A Guide to Microsoft Excel 2013 for Scientists and Engineers

  • Author: Bernard Liengme
  • Publisher: Academic Press
  • ISBN: 0128028165
  • Category: Mathematics
  • Page: 382
  • View: 2218
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Completely updated guide for students, scientists and engineers who want to use Microsoft Excel 2013 to its full potential. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data. Content written specifically for the requirements of science and engineering students and professionals working with Microsoft Excel, brought fully up to date with the new Microsoft Office release of Excel 2013. Features of Excel 2013 are illustrated through a wide variety of examples based in technical contexts, demonstrating the use of the program for analysis and presentation of experimental results. New to this edition: The Backstage is introduced (a new Office 2013 feature); all the ‘external’ operations like Save, Print etc. are now in one place The chapter on charting is totally revised and updated – Excel 2013 differs greatly from earlier versions Includes many new end-of-chapter problems Most chapters have been edited to improve readability

Statistics with Microsoft Excel

Statistics with Microsoft Excel

  • Author: Beverly J. Dretzke
  • Publisher: Pearson College Division
  • ISBN: 9780321783370
  • Category: Computers
  • Page: 268
  • View: 4118
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Normal 0 false false false Statistics with Microsoft Excel, Fifth Edition, shows readers how to use Microsoft Excel® to perform statistical analysis. This step-by-step guide has been updated to cover the new features and interface of Excel 2010. Datasets and other resources (where applicable) for this book are available here.

ePub - An Introduction to Statistics Using Microsoft Excel

ePub - An Introduction to Statistics Using Microsoft Excel

Research Textbook Collection

  • Author: Dan Remenyi,George Onofrei,Joseph English
  • Publisher: Academic Conferences Limited
  • ISBN: 1908272929
  • Category: Electronic books
  • Page: 387
  • View: 8851
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This book explains the statistical concepts and then uses Microsoft Excel functions to illustrate how to get results using the appropriate techniques which will help researchers directly with their research.

Succeeding in Business with Microsoft Excel 2013: A Problem-Solving Approach

Succeeding in Business with Microsoft Excel 2013: A Problem-Solving Approach

  • Author: Debra Gross,Frank Akaiwa,Karleen Nordquist
  • Publisher: Cengage Learning
  • ISBN: 1285963962
  • Category: Computers
  • Page: 720
  • View: 6689
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SUCCEEDING IN BUSINESS WITH MICROSOFT OFFICE EXCEL 2013 prepares your students to solve business problems by moving beyond the basic point and click skills to think critically about realistic business situations. When students combine software analysis with their own decision making abilities, they are more likely meet any business challenge with success. The Succeeding in Business Series emphasizes problem-solving, critical thinking, and analysis - challenging students to find efficient and effective solutions. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Data Analysis Using Microsoft Excel

Data Analysis Using Microsoft Excel

Updated for Office XP

  • Author: Michael R. Middleton
  • Publisher: South-Western Pub
  • ISBN: 9780534402938
  • Category: Computers
  • Page: 280
  • View: 9415
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Spreadsheet skills are important for a first job, and DATA ANALYSIS USING MICROSOFT EXCEL prepares students to enter the world of work with stronger spreadsheet skills. Designed as a supplement to a main statistics text or as a reference for professionals, this handbook helps students build their proficiency in Microsoft Excel and shows them how to use the built-in capabilities of Excel to analyze data and make decisions. Although many of the examples are business oriented, the step-by-step approach makes this book appropriate for statistical analysis in other courses and academic disciplines.

The Finance Book

The Finance Book

Understand the numbers even if you're not a finance professional

  • Author: Stuart Warner,Si Hussain
  • Publisher: Pearson UK
  • ISBN: 1292123656
  • Category: Business & Economics
  • Page: 360
  • View: 2672
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The Finance Book will help you think and manage like a financial strategist. Written specifically for non-finance professionals, it will give you all you need to know to manage your business more effectively and think more strategically. It will help you to: Have the confidence to read and interpret financial statements Ask the right questions about financial performance Apply important financial tools and ratios Learn how to think financially and make better strategic financial decisions Covering business finance, accounting fundamentals, budgeting, profitability and cash management, you'll find the tools you need in order to make the best financial decisions for your business. 'Essential reading for any non-finance ‭professional. This is an easy to read and ‭practical guide to the world of finance.’ ‭Paul Herman, Group CEO, Bluebox ‭Corporate Finance ‭‘A really helpful, well organised and easy to ‭understand primer and reference book for ‭those who aren’t accountants but still need ‭to understand the accounts.’ ‭Roger Siddle, Chairman, Cordium Group ‘A great book. At last, a guide that ‭demystifies and encourages business ‭owners to practically understand financial ‭matters. A must read.’ ‭Gordon Vater CEO, RiiG Limited

Excel Statistics

Excel Statistics

A Quick Guide

  • Author: Neil J. Salkind
  • Publisher: SAGE Publications
  • ISBN: 1483374068
  • Category: Social Science
  • Page: 168
  • View: 3596
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Ideal for those already familiar with basic Excel features, this updated Third Edition of Neil J. Salkind’s Excel Statistics: A Quick Guide shows readers how to utilize Microsoft® Excel’s functions and Analysis ToolPak to answer simple and complex questions about data. Part I explores 35 Excel functions, while Part II contains 20 Analysis ToolPak tools. To make it easy to see what each function or tool looks like when applied, at-a-glance two-page spreads describe each function and its use with corresponding screenshots. In addition, actual data files used in the examples are readily available online at an open-access Student Study Site.

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

  • Author: Mark Harmon
  • Publisher: Mark Harmon
  • ISBN: 0983307083
  • Category: Computers
  • Page: N.A
  • View: 5566
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Complete and practical yet easy-to-understand graduate-level statistics course with all of the problems worked out in Excel. Thoroughly covers all topics of an intense graduate statistics course using nothing but step-by-step, simple explanations. Loaded with completed, real-world problems all in Excel, this e-manual is an outstanding supplement to a graduate statistics course. Very clear explanations are used to show exactly how the Excel formulas integrate with the statistical frameworks being applied. The reader will learn how to master and apply graduate-level statistics much faster than a student in a normal graduate statistics course because this e-manual's emphasis is entirely on problem solving, not on useless, forgettable theory that fills up many statistics courses. This e-manual achieves two goals: teaching graduate-level statistical frameworks in an easy-to-understand way and then showing how to implement all of it in Excel. The widely-used Microsoft Excel program provides a very simple but incredibly complete platform to perform heavy-duty, advanced statistical analysis. All other statistical software packages, such as Minitab, SyStat, and SPSS, are expensive, require lots of user training, and expect that the user is an expert statistician right from the start. Not this e-manual nor Microsoft Excel. The ability to perform graduate-level statistics in Excel is an extremely useful and powerful tool for any graduate statistics student and business manager. Homework assignments can be quickly checked with Excel. Once difficult statistical business problems are now readily solvable in Excel. The easy-to-follow frameworks in this e-manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. The lessons are all in bite-size chunks that are quickly absorbed for immediate use. More than half of the lessons in this e-manual are supplemented with step-by-step videos for more convenient learning. Some of the major topics covered in detail include regression, ANOVA, hypothesis tests, confidence intervals, combinations, permutations, correlation, covariance, t-tests, histograms, and charting. This e-manual also contains two complete chapters with numerous videos showing exactly how to create user-interactive graphs of the 10 major distributions in Excel. These user-interactive Excel graphs allow the user to vary the cells containing all of the distribution's parameters, such as mean, standard deviation, and degrees of freedom, and watch the graphed distribution instantly change right on the spreadsheet to conform to the new parameters. This is an excellent and unique tool to fully grasp the functionality of the distributions discussed in this e-manual. All problem-solving techniques are presented as step-by-step frameworks that can be readily applied to similar problems, not as seemingly unrelated and difficult-to-apply statistical theorems like most statistics course do. A number of problem-solving techniques are presented in this e-manual that do not appear in any other statistical text. One example of a statistical technique presented only in this e-manual and nowhere else is a detailed description showing how to solve every type of hypothesis test using the same four steps. A number of widely-used and complicated statistical tests, such as the chi-square independence test, the chi-square population variance test, and conjoint analysis using dummy variable regression are described from top to bottom and also in Excel. Graduate statistics students and business managers will find this e-manual to be, by far, the easiest and fastest way to master graduate-level statistics and to apply advanced statistics in Excel to solve difficult, real-world problems, homework assignments, and exam questions. The reader of this e-manual will quickly become an Excel Statistical Master.

Data Analysis with Microsoft Excel: Updated for Office 2007

Data Analysis with Microsoft Excel: Updated for Office 2007

  • Author: Kenneth N. Berk,Patrick M. Carey
  • Publisher: Cengage Learning
  • ISBN: 1111792771
  • Category: Mathematics
  • Page: 608
  • View: 1857
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This popular best-selling book shows students and professionals how to do data analysis with Microsoft Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text's step-by-step approach, extensive tutorials, and real-world examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Excel 2016 for Business Statistics

Excel 2016 for Business Statistics

A Guide to Solving Practical Problems

  • Author: Thomas J Quirk
  • Publisher: Springer
  • ISBN: 3319389599
  • Category: Business & Economics
  • Page: 244
  • View: 9393
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This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published Excel 2010 for Business Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. 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 business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 for Business Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work. 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 in an appendix. Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.