Data Analysis With Microsoft Excel
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Data Analysis With Microsoft Excel
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Author : Kenneth N. Berk
language : en
Publisher:
Release Date : 2006
Data Analysis With Microsoft Excel written by Kenneth N. Berk and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Microsoft Excel (Computer file) categories.
Data Analysis For Managers With Microsoft Excel
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Author : S. Christian Albright
language : en
Publisher: South Western Educational Publishing
Release Date : 2004
Data Analysis For Managers With Microsoft Excel written by S. Christian Albright and has been published by South Western Educational Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Business & Economics categories.
This text presents statistical concepts and methods in a unified, modern, spreadsheet-oriented approach. Featuring a wealth of business applications, this examples-based text illustrates a variety of statistical methods to help students analyze data sets and uncover important information to aid decision-making. DATA ANALYSIS FOR MANAGERS contains professional StatPro add-ins for Microsoft Excel from Palisade, valued at one hundred fifty dollars packaged at no additional cost with every new text.
Basic Marketing Research
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Author : Alvin C. Burns
language : en
Publisher: Prentice Hall
Release Date : 2008
Basic Marketing Research written by Alvin C. Burns and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
This book is targeted for those who need to learn the marketing research process and basic data analysis techniques. This is the first book on the market that offers a software add-in (XL Data Analyst ) designed specifically to use the power of Excel for marketing research applications. XL Data Analyst also features data analysis output that is exceptionally easy to understand and in professional table/report-ready format. All marketing research concepts are presented simply and intuitively. KEY TOPICS: 11 Step marketing research process; the industry; ethical issues, global applications. Basic descriptive statistics, confidence intervals and hypothesis testing, differences tests through one-way ANOVA, cross-tabulation/Chi-square, Pearson Correlation, and simple and multiple regression are all comprehensively covered. This is the ideal book for those who wish to teach basic marketing research to undergraduate students without learning cumbersome statistical analysis software but who have access to Excel". The XL Data Analysis Add-in is easy to master and use and performs analyses such as tests of proportions and hypothesis tests for percentages, not typically available on standard statistical analysis software.
Automated Data Analysis Using Excel
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Author : Brian D. Bissett
language : en
Publisher: CRC Press
Release Date : 2007-06-15
Automated Data Analysis Using Excel written by Brian D. Bissett and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-06-15 with Computers categories.
Because the analysis of copious amounts of data and the preparation of custom reports often take away time from true research, the automation of these processes is paramount to ensure productivity. Exploring the core areas of automation, report generation, data acquisition, and data analysis, Automated Data Analysis Using Excel illustrates how to m
Statistical Analysis
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Author : Conrad Carlberg
language : en
Publisher: Que Publishing
Release Date : 2017-11-15
Statistical Analysis written by Conrad Carlberg and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-15 with Business & Economics categories.
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
Data Analysis And Business Modelling Using Microsoft Excel
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Author : MANOHAR, HANSA LYSANDER
language : en
Publisher: PHI Learning Pvt. Ltd.
Release Date : 2017-03-30
Data Analysis And Business Modelling Using Microsoft Excel written by MANOHAR, HANSA LYSANDER and has been published by PHI Learning Pvt. Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-30 with Language Arts & Disciplines categories.
This book is useful for the postgraduate students of business management and statistics. The objective of this book is not only to make the students to get a basic understanding of statistical techniques but also to get a thorough understanding of how to apply the techniques for practical cases which can be applied during their project work and even when the students enter the industry after finishing their courses. The text uses simple analytical techniques to solve real-time business problems. The solutions to problems contain step-by-step instructions and Excel screenshots to reinforce the understanding of the topics. This text will help students to: • develop the necessary skills to solve practical decision problems using Excel spreadsheets • acquire knowledge of data analysis software for business modelling • use analytical techniques which they had learnt to solve real-time problems.
Excel Data Analysis
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Author : Jinjer L. Simon
language : en
Publisher: Visual
Release Date : 2003
Excel Data Analysis written by Jinjer L. Simon and has been published by Visual this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
* Essential for those who know basic Excel and want to explore the full potential of the program * Teaches how to manipulate data to suit specific needs and achieve more by doing less work * Self-contained two-page lessons, featuring high-resolution screen shots and minimal text, show how to create custom functions, retrieve data from databases, use value chains, and slice and pivot information from the Web with Excel's PivotTable utility * Covers data analyzing techniques for statistical functions, financial functions, data sharing, PivotTables and PivotCharts, Solver, and BackSolver
Data Analysis And Decision Making
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Author : S. Christian Albright
language : en
Publisher: South-Western Pub
Release Date : 2002-08-01
Data Analysis And Decision Making written by S. Christian Albright and has been published by South-Western Pub this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-08-01 with Business & Economics categories.
The emphasis of the text is on data analysis, modeling, and spreadsheet use in statistics and management science. This text contains professional Excel software add-ins. The authors maintain the elements that have made this text a market leader in its first edition: clarity of writing, a teach-by-example approach, and complete Excel integration.
Statistical Analysis
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Author : Conrad Carlberg
language : en
Publisher: Que Publishing
Release Date : 2014-04-04
Statistical Analysis written by Conrad Carlberg and has been published by Que Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Business & Economics categories.
Use Excel 2013’s statistical tools to transform your data into knowledge Conrad Carlberg shows how to use Excel 2013 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples, Carlberg helps you choose the right technique for each problem and get the most out of Excel’s statistical features, including recently introduced consistency functions. 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, this edition adds two more chapters on inferential statistics, covering crucial topics ranging from experimental design to the statistical power of F tests. Becoming an expert with Excel statistics has never been easier! You’ll find crystal-clear instructions, insider insights, and complete step-by-step projects—all complemented by extensive web-based resources. Master Excel’s most useful descriptive and inferential statistical tools Tell the truth with statistics—and recognize when others don’t Accurately summarize sets of values 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 Use ANOVA to test differences between more than two means Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha Take advantage of Recommended PivotTables, Quick Analysis, and other Excel 2013 shortcuts
Excel Data Analysis For Dummies
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Author : Paul McFedries
language : en
Publisher: John Wiley & Sons
Release Date : 2018-10-30
Excel Data Analysis For Dummies written by Paul McFedries and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Computers categories.
Take Excel to the next level Excel is the world’s leading spreadsheet application. It’s a key module in Microsoft Office—the number-one productivity suite—and it is the number-one business intelligence tool. An Excel dashboard report is a visual presentation of critical data and uses gauges, maps, charts, sliders, and other graphical elements to present complex data in an easy-to-understand format. Excel Data Analysis For Dummies explains in depth how to use Excel as a tool for analyzing big data sets. In no time, you’ll discover how to mine and analyze critical data in order to make more informed business decisions. Work with external databases, PivotTables, and Pivot Charts Use Excel for statistical and financial functions and data sharing Get familiar with Solver Use the Small Business Finance Manager If you’re familiar with Excel but lack a background in the technical aspects of data analysis, this user-friendly book makes it easy to start putting it to use for you.