Excel Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781483374062
Release Date: 2015-06-11
Genre: Social Science

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.

Excel Statistics

Author: Neil J. Salkind
Publisher: SAGE
ISBN: 9781412979634
Release Date: 2010-07
Genre: Social Science

Designed for users already familiar with basic computer operations, Neil J. Salkind's Excel Statistics: A Quick Guide shows readers how to utilize the features of Microsoft® Excel to answer both simple and complex questions about data analysis. Part I explores thirty Excel functions, each one detailed on a two-page spread. The description and use of each function appear on one page with corresponding screen shots of the function in action on the facing page, allowing the user to see what the function looks like as it is being applied. Part II of the text contains fifteen Analysis Toolpak tools, each explained using the same two-page spread design as for the functions. Excel novices and experts alike will find this text not only practical but easy to use and engaging. Key Features: - Each function and tool is accompanied by an Excel file, accessible through the SAGE Web site, to be used as an example of each analysis. Access these files through the SAGE website (www.sagepub.com/salkindexcelstats) or through www.onlinefilefolder.com. - The screenshots and steps feature Microsoft Excel 2010 and are compatible with Microsoft 97-2003 and Excel 5.0/95. - Designed to be used as both an introduction and a reference book as needed. Perfect as an accompaniment to existing introductory statistics books or in a lab setting.

Excel Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781483374055
Release Date: 2015-07-28
Genre: Social Science

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.

Statistics for People Who Think They Hate Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781483374109
Release Date: 2016-01-29
Genre: Social Science

Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.

Statistical Analysis

Author: Conrad Carlberg
Publisher: Que Publishing
ISBN: 9780134840482
Release Date: 2017-11-15
Genre: Business & Economics

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

Statistics for People Who Think They Hate Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781506333854
Release Date: 2016-09-13
Genre: Social Science

The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.

Fundamentals of Statistics in Health Administration

Author: Broyles
Publisher: Jones & Bartlett Learning
ISBN: 0763745561
Release Date: 2006
Genre: Business & Economics

There is a vast need for statistical analysis and applications in health care administration. However, students typically have weak quantitative skills. Yet students typically come armed with weak quantitative skills and a poor understanding of statistics. Statistics are a key element of many health administration courses - financial management, quantitative methods etc. but texts in this area presume skills in this area often leaving students adrift. Statistics in Health Administration Kept Simple covers essential fundamentals in a user-friendly way with a strong emphasis on practical applica

Six Sigma Statistics with EXCEL and MINITAB

Author: Issa Bass
Publisher: McGraw Hill Professional
ISBN: 007154268X
Release Date: 2007-07-18
Genre: Business & Economics

Master the Statistical Techniques for Six Sigma Operations, While Boosting Your Excel and Minitab Skills! Now with the help of this “one-stop” resource, operations and production managers can learn all the powerful statistical techniques for Six Sigma operations, while becoming proficient at Excel and Minitab at the same time. Six Sigma Statistics with Excel and Minitab offers a complete guide to Six Sigma statistical methods, plus expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by a seasoned Six Sigma Master Black Belt, the book explains how to create and interpret dot plots, histograms, and box plots using Minitab...decide on sampling strategies, sample size, and confidence intervals...apply hypothesis tests to compare variance, means, and proportions...conduct a regression and residual analysis...design and analyze an experiment...and much more. Filled with clear, concise accounts of the theory for each statistical method presented, Six Sigma Statistics with Excel and Minitab features: Easy-to-follow explanations of powerful Six Sigma tools A wealth of exercises and case studies 200 graphical illustrations for Excel and Minitab Essential for achieving Six Sigma goals in any organization, Six Sigma Statistics with Excel and Minitab is a unique, skills-building toolkit for mastering a wide range of vital statistical techniques, and for capitalizing on the potential of Excel and Minitab. Six Sigma Statistical with Excel and Minitab offers operations and production managers a complete guide to Six Sigma statistical techniques, together with expert coverage of Excel and Minitab, two of today's most popular programs for statistical analysis and data visualization. Written by Issa Bass, a Six Sigma Master Black Belt with years of hands-on experience in industry, this on-target resource takes readers through the application of each Six Sigma statistical tool, while presenting a straightforward tutorial for effectively utilizing Excel and Minitab. With the help of this essential reference, managers can: Acquire the basic tools for data collection, organization, and description Learn the fundamental principles of probability Create and interpret dot plots, histograms, and box plots using Minitab Decide on sampling strategies, sample size, and confidence intervals Apply hypothesis tests to compare variance, means, and proportions Stay on top of production processes with statistical process control Use process capability analysis to ensure that processes meet customers' expectations Employ analysis of variance to make inferences about more than two population means Conduct a regression and residual analysis Design and analyze an experiment In addition, Six Sigma Statistics with Excel and Minitab enables you to develop a better understanding of the Taguchi Method...use measurement system analysis to find out if measurement processes are accurate...discover how to test ordinal or nominal data with nonparametric statistics...and apply the full range of basic quality tools. Filled with step-by-step exercises, graphical illustrations, and screen shots for performing Six Sigma techniques on Excel and Minitab, the book also provides clear, concise explanations of the theory for each of the statistical tools presented. Authoritative and comprehensive, Six Sigma Statistics with Excel and Minitab is a valuable skills-building resource for mastering all the statistical techniques for Six Sigma operations, while harnessing the power of Excel and Minitab.

Statistics in a Nutshell

Author: Sarah Boslaugh
Publisher: "O'Reilly Media, Inc."
ISBN: 9781449316822
Release Date: 2012-11-15
Genre: Mathematics

A clear and concise introduction and reference for anyone new to the subject of statistics.

Statistical Analysis with Excel For Dummies

Author: Joseph Schmuller
Publisher: John Wiley & Sons
ISBN: 9781119271161
Release Date: 2016-07-06
Genre: Computers

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!

Study Guide for Education to Accompany Neil J Salkind s Statistics for People Who Think They Hate Statistics

Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 9781544320038
Release Date: 2017-11-17
Genre: Social Science

This Study Guide for introductory statistics courses in education departments is designed to accompany Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics, Sixth Edition. Extra exercises; activities; and true/false, multiple choice, and essay questions (with answers to all questions) feature education-specific content to help further student mastery of text concepts. A dataset is provided for use with the book at edge.sagepub.com/salkind6e. The dataset contains simulated data to represent a random elementary school in the US. This fictitious elementary school consists of grade K-5 and has traditional classes taught in English as well as Spanish immersion classes. The simulated data represents a set of 70 teachers in this school. The dataset allows students to run various practice exercises in SPSS.

Excel Formulas and Functions For Dummies

Author: Ken Bluttman
Publisher: John Wiley & Sons
ISBN: 9781119076797
Release Date: 2015-11-30
Genre: Computers

Grab these Excel formulas and functions to make your life easier! Are you intimidated by major financial choices, like which loan to get or how to grow your savings? Don't worry—we all are! But Excel Formulas & Functions For Dummies, 4th Edition can take some of the pain out of the data organization and analysis processes. This step-by-step reference sheds light on Microsoft Excel's 150 most useful functions, and offers detailed instructions on how to implement them. Additionally, each function is illustrated by helpful, real-world examples that show how they are used within a larger formula. To take your knowledge of Excel's functions a step further, 85 specialized functions are described in abbreviated form so you can use Excel to better support your decision-making process when securing a mortgage, buying a car, computing classroom grades, evaluating investment performance, and more. Functions are predefined formulas that you can use to make data analysis a bit easier within the Microsoft Excel framework. Functions use specific values, called arguments, to calculate a variety of things, from simple sums and averages to more complicated loan payments. Explore the 150 most useful functions that help Microsoft Excel make your life easier Access real-world examples of how functions fit into larger formulas Discover 85 specialized functions, which are described in abbreviated form and take your knowledge of Excel to the next level Understand how Microsoft Excel can help you make key decisions, such as whether to go with a 15-year or 30-year mortgage Excel Formulas & Functions For Dummies, 4th Edition brings order to chaotic data—and helps you make decisions with confidence!

Practical and Clear Graduate Statistics in Excel The Excel Statistical Master

Author: Mark Harmon
Publisher: Mark Harmon
ISBN: 9780983307082
Release Date: 2011-03-16
Genre: Computers

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.

Statistical Analysis Quick Reference Guidebook

Author: Alan C. Elliott
Publisher: SAGE
ISBN: 1412925606
Release Date: 2007
Genre: Social Science

A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.

Statistics Done Wrong

Author: Alex Reinhart
Publisher: No Starch Press
ISBN: 9781593276201
Release Date: 2015
Genre: Mathematics

Statistics Done Wrong describes how researchers often go wrong and teaches you the best practices for avoiding their mistakes.