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The Excel Data And Statistics Cookbook Third Edition
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Book Synopsis The Excel Data and Statistics Cookbook, Third Edition by : Larry Pace
Download or read book The Excel Data and Statistics Cookbook, Third Edition written by Larry Pace and published by Lulu.com. This book was released on 2012-11-12 with total page 207 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Excel Data and Statistics Cookbook,3rd edition, covers all the basic descriptive and inferential statistics taught in an introductory class. Completely updated to illustrate Excel 2013, 2011 (for Mac), and 2010, this book is classroom-tested and instructor-approved.
Book Synopsis The Excel 2007 Data and Statistics Cookbook by : Larry Pace
Download or read book The Excel 2007 Data and Statistics Cookbook written by Larry Pace and published by . This book was released on 2007-09-01 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistics for People Who (Think They) Hate Statistics by : Neil J. Salkind
Download or read book Statistics for People Who (Think They) Hate Statistics written by Neil J. Salkind and published by SAGE Publications. This book was released on 2016-01-29 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
Book Synopsis The Excel Statistics Cookbook, Second Edition by : Larry Alton Pace
Download or read book The Excel Statistics Cookbook, Second Edition written by Larry Alton Pace and published by Lulu.com. This book was released on 2006 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides step-by-step illustrated instructions for performing the most common statistical procedures in Microsoft Excel. Topics covered: data structures and data lists, descriptive statistics, charts and graphs, one-sample t test, independent samples t test, dependent samples t test, one-way ANOVA, repeated-measures ANOVA, correlation and regression, chi-square tests.
Book Synopsis Data and Statistics Cookbook with Excel 2007 by : Larry Alton Pace
Download or read book Data and Statistics Cookbook with Excel 2007 written by Larry Alton Pace and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Over the past several years, there has been an increased interest in the use of spreadsheets for teaching and learning basic statistics. This movement began in business schools, where spreadsheets are used extensively, but has recently expanded to the sciences and more recently, the social sciences. This book about using a widely available spreadsheet program for basic statistics can be used as a course supplement or as a standalone text. Topics covered include those commonly taught in a first course (or two-course sequence) in basic descriptive and inferential statistics. Although the text makes repeated use of certain datasets, each chapter serves as a standalone module, so instructors can skip the topics they do not wish to cover."--Publisher's website.
Book Synopsis Excel Scientific and Engineering Cookbook by : David M Bourg
Download or read book Excel Scientific and Engineering Cookbook written by David M Bourg and published by "O'Reilly Media, Inc.". This book was released on 2006-01-17 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given the improved analytical capabilities of Excel, scientists and engineers everywhere are using it--instead of FORTRAN--to solve problems. And why not? Excel is installed on millions of computers, features a rich set of built-in analyses tools, and includes an integrated Visual Basic for Applications (VBA) programming language. No wonder it's today's computing tool of choice. Chances are you already use Excel to perform some fairly routine calculations. Now the Excel Scientific and Engineering Cookbook shows you how to leverage Excel to perform more complex calculations, too, calculations that once fell in the domain of specialized tools. It does so by putting a smorgasbord of data analysis techniques right at your fingertips. The book shows how to perform these useful tasks and others: Use Excel and VBA in general Import data from a variety of sources Analyze data Perform calculations Visualize the results for interpretation and presentation Use Excel to solve specific science and engineering problems Wherever possible, the Excel Scientific and Engineering Cookbook draws on real-world examples from a range of scientific disciplines such as biology, chemistry, and physics. This way, you'll be better prepared to solve the problems you face in your everyday scientific or engineering tasks. High on practicality and low on theory, this quick, look-up reference provides instant solutions, or "recipes," to problems both basic and advanced. And like other books in O'Reilly's popular Cookbook format, each recipe also includes a discussion on how and why it works. As a result, you can take comfort in knowing that complete, practical answers are a mere page-flip away.
Book Synopsis The Excel 2007 Data and Statistics Cookbook by : Larry Alton Pace
Download or read book The Excel 2007 Data and Statistics Cookbook written by Larry Alton Pace and published by . This book was released on 2008-01-01 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides point-and-click access to the most common basic descriptive and inferential statistics. Topics include: the Excel 2007 interface, data management features of Excel 2007, tables and pivot tables, descriptive statistics, charts and graphs, working with z scores and the normal distribution, installing and using the analysis toolpak, one-sample t tests, paired-samples t tests, independent-samples t tests, one-way ANOVA, repeated-measures ANOVA, correlation and regression, Chi-square tests, post hoc comparisons, and effect size.
Book Synopsis SPSS Statistics For Dummies by : Jesus Salcedo
Download or read book SPSS Statistics For Dummies written by Jesus Salcedo and published by John Wiley & Sons. This book was released on 2020-09-09 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. Master the fundamental mechanics of SPSS Learn how to get data into and out of the program Graph and analyze your data more accurately and efficiently Program SPSS with Command Syntax Get ready to start handling data like a pro—with step-by-step instruction and expert advice!
Download or read book Excel Cookbook written by Dawn Griffiths and published by "O'Reilly Media, Inc.". This book was released on 2024-05-14 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages. Whether you're a data analyst, project manager, or financial analyst, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast. This cookbook shows you how to: Get the most out of Excel's features Address complex data problems in the best way possible Collect, manage, and analyze data from a variety of sources Use functions and formulas with ease—including dynamic array and lambda formulas Analyze data with PivotTables, Power Pivot, and more Import and transform data with Power Query Write custom functions and automate Excel with VBA
Book Synopsis Data Analysis Using Stata by : Ulrich Kohler (Dr. phil.)
Download or read book Data Analysis Using Stata written by Ulrich Kohler (Dr. phil.) and published by Stata Press. This book was released on 2005-06-15 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Using data from a longitudinal study of private households in Germany, the book presents many examples from the social sciences to bring beginners up to speed on the use of Stata." -- BACK COVER.
Book Synopsis R Graphics Cookbook by : Winston Chang
Download or read book R Graphics Cookbook written by Winston Chang and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Practical recipes for visualizing data"--Cover.
Download or read book R Cookbook written by Paul Teetor and published by "O'Reilly Media, Inc.". This book was released on 2011-03-03 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
Book Synopsis Python for Data Analysis by : Wes McKinney
Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2017-09-25 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process. Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub. Use the IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples
Download or read book R Cookbook written by JD Long and published by "O'Reilly Media, Inc.". This book was released on 2019-06-21 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately. Solutions range from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem and includes a discussion that explains the solution and provides insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an intermediate user, this book will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform basic functions Simplify data input and output Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data
Book Synopsis Understanding Advanced Statistical Methods by : Peter Westfall
Download or read book Understanding Advanced Statistical Methods written by Peter Westfall and published by CRC Press. This book was released on 2013-04-09 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Providing a much-needed bridge between elementary statistics courses and advanced research methods courses, Understanding Advanced Statistical Methods helps students grasp the fundamental assumptions and machinery behind sophisticated statistical topics, such as logistic regression, maximum likelihood, bootstrapping, nonparametrics, and Bayesian methods. The book teaches students how to properly model, think critically, and design their own studies to avoid common errors. It leads them to think differently not only about math and statistics but also about general research and the scientific method. With a focus on statistical models as producers of data, the book enables students to more easily understand the machinery of advanced statistics. It also downplays the "population" interpretation of statistical models and presents Bayesian methods before frequentist ones. Requiring no prior calculus experience, the text employs a "just-in-time" approach that introduces mathematical topics, including calculus, where needed. Formulas throughout the text are used to explain why calculus and probability are essential in statistical modeling. The authors also intuitively explain the theory and logic behind real data analysis, incorporating a range of application examples from the social, economic, biological, medical, physical, and engineering sciences. Enabling your students to answer the why behind statistical methods, this text teaches them how to successfully draw conclusions when the premises are flawed. It empowers them to use advanced statistical methods with confidence and develop their own statistical recipes. Ancillary materials are available on the book’s website.
Book Synopsis Head First Data Analysis by : Michael Milton
Download or read book Head First Data Analysis written by Michael Milton and published by "O'Reilly Media, Inc.". This book was released on 2009-07-24 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for data managers and analyzers. It shares guidelines for identifying patterns, predicting future outcomes, and presenting findings to others.
Download or read book Python Cookbook written by David Beazley and published by "O'Reilly Media, Inc.". This book was released on 2013-05-10 with total page 1132 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you need help writing programs in Python 3, or want to update older Python 2 code, this book is just the ticket. Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms. Inside, youâ??ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works. Topics include: Data Structures and Algorithms Strings and Text Numbers, Dates, and Times Iterators and Generators Files and I/O Data Encoding and Processing Functions Classes and Objects Metaprogramming Modules and Packages Network and Web Programming Concurrency Utility Scripting and System Administration Testing, Debugging, and Exceptions C Extensions
