Elementary Data Analysis Using Microsoft Excel PDF Download
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Author: Anita Meehan
Publisher: McGraw-Hill Humanities/Social Sciences/Languages
ISBN: 9780072360516
Category : Psychology
Languages : en
Pages : 0
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Book Description
Elementary Data Analysis by Meehan and Warner introduces students to Microsoft Excel spreadsheets as a tool to be used in Introductory Statistics courses. For years professors have relied on specialized statistical software like SPSS (Statistical Package for Social Sciences) in statistics and research methods courses, but computer technology has become ubiquitous and spreadsheets more popular. This easy to use workbook demonstrates that by utilizing a familiar program such as Excel, students can concentrate more on statistical concepts and outcomes and less on the mechanics of the software. Even for students who are not familiar with spreadsheets, they can learn statistical analysis easier with Excel than with specialized software, and this workbook takes them through step by step.
Author: Anita Meehan
Publisher: McGraw-Hill Humanities/Social Sciences/Languages
ISBN: 9780072360516
Category : Psychology
Languages : en
Pages : 0
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Book Description
Elementary Data Analysis by Meehan and Warner introduces students to Microsoft Excel spreadsheets as a tool to be used in Introductory Statistics courses. For years professors have relied on specialized statistical software like SPSS (Statistical Package for Social Sciences) in statistics and research methods courses, but computer technology has become ubiquitous and spreadsheets more popular. This easy to use workbook demonstrates that by utilizing a familiar program such as Excel, students can concentrate more on statistical concepts and outcomes and less on the mechanics of the software. Even for students who are not familiar with spreadsheets, they can learn statistical analysis easier with Excel than with specialized software, and this workbook takes them through step by step.
Author: Ash Narayan Sah
Publisher: Excel Books India
ISBN: 9788174467164
Category :
Languages : en
Pages : 220
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Book Description
Author: Terry Sincich
Publisher:
ISBN:
Category : Electronic spreadsheets
Languages : en
Pages : 872
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Book Description
This manual includes an Excel primer providing basic instructions on using Windows and Excel. Excel Tutorials appear at the end of pertinent chapters. Self-test questions, key terms, formulas and symbols are included.
Author: John W. Foreman
Publisher: John Wiley & Sons
ISBN: 1118839862
Category : Business & Economics
Languages : en
Pages : 432
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Book Description
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Author: Larry Rockoff
Publisher: Cengage Learning
ISBN: 9781435460102
Category : Computers
Languages : en
Pages : 0
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Book Description
DATA ANALYSIS WITH MICROSOFT ACCESS 2010 is an introduction to Access with an emphasis on topics relevant to data analysis. The goal is to help the analyst gain a true understanding of data and the information it contains. Access queries are covered in detail, both in terms of the mechanics of their design, and how they can be used for typical data analysis tasks. The book is written in an easy-to-understand tutorial style, with new topics introduced in a logical and intuitive sequence. Numerous screenshots are included, so you won’t need to sit with a computer as you read the book. The author also broadens the concept of data analysis to encompass business intelligence (BI) topics, including valuable material on how to use Access and Excel pivot tables. Additional features include See the SQL sidebars that allow interested readers to learn SQL as they are learning Access, and Focus on Analysis sidebars that provide details on a number of useful quantitative topics. A companion website has a sample database that correlates with the BI material in the book. In short, this is the only book you’ll need to gain a working knowledge of Access, and how it can be used for data analysis. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Dan Remenyi
Publisher:
ISBN: 9781910810187
Category :
Languages : en
Pages : 222
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Book Description
Author: Mary Jackson
Publisher: John Wiley & Sons
ISBN: 0470061669
Category : Business & Economics
Languages : en
Pages : 278
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Book Description
This new and unique book demonstrates that Excel and VBA can play an important role in the explanation and implementation of numerical methods across finance. Advanced Modelling in Finance provides a comprehensive look at equities, options on equities and options on bonds from the early 1950s to the late 1990s. The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex 'what if' scenarios. Specifically applies Excel and VBA to the financial markets Packaged with a CD containing the software from the examples throughout the book Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Author: Barbara Lave
Publisher:
ISBN: 9781636350356
Category :
Languages : en
Pages :
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Book Description
This is the first edition of a textbook written for a community college introductory course in spreadsheets utilizing Microsoft Excel; second edition available: https://openoregon.pressbooks.pub/beginningexcel19/. While the figures shown utilize Excel 2016, the textbook was written to be applicable to other versions of Excel as well. The book introduces new users to the basics of spreadsheets and is appropriate for students in any major who have not used Excel before.
Author: Conrad Carlberg
Publisher: Que Publishing
ISBN: 0133823997
Category : Business & Economics
Languages : en
Pages : 714
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Book Description
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
Author: David Whigham
Publisher: Oxford University Press
ISBN: 0199296286
Category : Business & Economics
Languages : en
Pages : 311
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Book Description
Taking a thematic approach to the use of Excel spreadsheets in introductory business data analysis, this text has been designed to explain the overall nature of what is to be achieved and also instruction in how it is to be done. The learning approach is highly interactive and enables students to develop an understanding of the power of Excel in allowing both analysis of business data sets and in the flexible preparation of graphs, charts and tables for inclusion in reports and essays. The text is supported by an online resource centre with self marking exercises that can be used by instructors for formative and summative assessment, and a series of PowerPoint files containing all of the illustrated worksheets and figures.
