Practical And Clear Graduate Statistics In Excel The Excel Statistical Master

Author : Mark Harmon
Publisher : Mark Harmon
Page : 128 pages
File Size : 48,5 Mb
Release : 2011-03-16
Category : Computers
ISBN : 9780983307082

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Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master by Mark Harmon Pdf

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.

Author : Mark Harmon
Publisher : Mark Harmon
Page : 62 pages
File Size : 41,7 Mb
Release : 2011-02-15
Category : Business & Economics
ISBN : 9780983307037

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t-Tests in Excel - The Excel Statistical Master by Mark Harmon Pdf

56 pages of clear and simple yet complete instructions about what t-tests are, how and when to use them, and how to set them up and solve them in Excel. This e-manual provides a thorough explanation of all of the major types of t-tests and their underlying formulas. Before you even begin to solve t-tests in Excel, the e-manual ensures that you have a solid, intuitive grasp of what each of the different variations of t-tests do and when each should be used. The e-manual shows you how to do these t-tests by hand and also in Excel. All of the t-tests formulas and functions built-in to Excel are explained in deep detail. All of problems are solved using the built-in Excel t-tests with lots of screenshots for complete clarity. A number of the problems also have their t-values and p-values calculated by hand so you can also see how it would be done manually. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers t-tests, you will find this e-manual to be an outstanding course supplement that will explain t-tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can set up t-tests in Excel to solve difficult statistical problems on your job. This e-manual will make you an Excel Statistical Master of the t-test.

Author : Mark Harmon
Publisher : Mark Harmon
Page : 35 pages
File Size : 44,6 Mb
Release : 2011-02-14
Category : Business & Economics
ISBN : 9780983307013

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Confidence Intervals in Excel - The Excel Statistical Master by Mark Harmon Pdf

Complete step-by-step e-manual showing exactly how and when to create confidence intervals in Excel. This e-manual will make you an expert on doing both types of confidence intervals (intervals of mean and intervals of proportion) and how to set them up in Excel. This e-manual is loaded with completed problems and screenshots in Excel of nearly all major variations of confidence intervals. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers confidence intervals, you will find this e-manual to be an outstanding course supplement that will explain confidence intervals much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can create confidence intervals in Excel to solve difficult statistical problems on your job. This e-manual will make you an Excel Statistical Master of the confidence interval.

Author : Mark Harmon
Publisher : Mark Harmon
Page : 54 pages
File Size : 50,8 Mb
Release : 2011-02-22
Category : Education
ISBN : 9780983307068

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Advanced Regression in Excel - The Excel Statistical Master by Mark Harmon Pdf

50 pages of complete step-by-step instructions and videos showing exactly how to perform a variety of advanced regression techniques and how to do them all in Excel. Some of these advanced regression techniques include nonlinear regression, logistic regression, and dummy-variable regression. This e-manual will also clearly explain all of the steps of a regression and how to quickly read the output of regression done in Excel. This e-manual is loaded with completed examples, screenshots, and videos of the advanced regression techniques all being performed in Excel. The instructions, screenshots, and videos are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers advanced regression techniques such as nonlinear regression, logistic regression, or dummy-variable regression, you will find this e-manual to be an outstanding course supplement that will explain these advanced regression techniques much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform these advanced regression techniques in Excel to solve difficult statistical problems on your job. Nonlinear regression, logistic regression, and dummy-variable regression are extremely useful in business, but are not widely understood. For example, you can use logistic regression to accurately calculate the probability that your next customer will make a purchase. That use of logistic regression is covered in detail in this e-manual. A detailed model of dummy-variable regression is provided in the e-manual which shows how to calculate how important each attribute of your product is to your customers. Not many people have a working knowledge of these advanced and useful regression techniques. You will. This e-manual will make you an Excel Statistical Master of nonlinear regression, logistic regression, and dummy-variable regression.

Author : Mark Harmon
Publisher : Unknown
Page : 104 pages
File Size : 53,9 Mb
Release : 2011-04-01
Category : Business & Economics
ISBN : 1937159035

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Nonparametric Testing in Excel - The Excel Statistical Master by Mark Harmon Pdf

Complete step-by-step instructions showing how to perform nearly every major type of nonparametric test and how to do each one of them in Excel. This manual will make you an expert on knowing exactly how and when to use and set up in Excel all types of nonparametric tests, such as the Mann Whitney U Test, the Kruskall Wallis Test, the Wilcoxon Rank Sum Test for both large and small samples, the Spearman Correlation Coefficient Test, the Sign Test, and the Wilcoxon Signed Rank Test for both large and small samples. This manual is loaded with completed examples and screenshots in Excel of all the above of nonparametric tests being performed. The instructions are clear and easy-to-follow but at the graduate level. Nothing but simple explanations all taught in small-bite-size lessons. The emphasis is on problem solving, not on useless, complicated, hard-to-apply theory that fills many statistics course. If you are currently taking a difficult graduate-level statistics course that covers nonparametric or normality tests, you will find this manual to be an outstanding course supplement that will explain nonparametric tests much more clearly than your textbook does. Every lesson uses Excel. You'll be glad to know that you'll never have to look up anything on statistical charts ever again. The easy-to-follow frameworks in this manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. If you are a business manager, you will really appreciate how easily and clearly this manual will show you how you can perform nonparametric tests in Excel to solve difficult statistical problems on your job. You already know Excel so no new software is necessary. You don't need SPSS, SAS, SyStat, or Minitab (all of those are expensive, require lots of user training, and expect the user to be an expert statistician right from the start. Not Excel nor this book. This manual achieves two goals: teaching graduate-level nonparametric testing statistical frameworks in an easy-to-understand, real-world, practical way and then showing how to implement all of it in Excel. Nonparametric tests are very important statistical tests in business, but are not widely understood. Nonparametric testing must nearly always be performed in place of most well-known statistics tests when it is not known that samples are being taken from a normally distributed population. This is more often the case than not, yet not many people have a working knowledge of nonparametric testing. You will. This manual will make you an Excel Statistical Master of nonparametric testing.

Author : Mark Harmon
Publisher : Unknown
Page : 180 pages
File Size : 51,5 Mb
Release : 2011-04-09
Category : Business & Economics
ISBN : 1937159051

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Mastering Statistical Distributions in Excel - the Excel Statistical Master by Mark Harmon Pdf

160 pages of complete, simple, step-by-step lessons in how solve problems in Excel with all eight of the most popular statistical distributions and how to create interactive graphs of each of them. Loaded with solved problems in Excel for each distribution, you will completely master and understand every aspect of the eight most widely-used distributions and how to use Excel to solve a number of different real-world, graduate-level problems for each distribution. These distributions include the Normal Distribution, the t Distribution, the Binomial Distribution, the Chi-Square Distribution, the Poisson Distribution, the Weibull Distribution, the Exponential Distribution, and the Hypergeometric Distribution. Special additional sections and emphasis in the book are placed on the Normal Distribution, the t Distribution, and the Binomial Distribution because these are the most widely-used of all distributions. This book also provides clear and thorough instructions about how to create interactive graphs in Excel of these eight most popular statistical distributions. You will learn to make interactive graphs in Excel of both the PDF and CDF (Probability Density Function and Cumulative Distribution Function) for most of these statistical distributions. The interactive Excel graphs that you will soon be able to construct will allow you to vary each and every one of the distribution's parameters right on the spreadsheet and then watch the distribution's Excel graph instantaneously change shape as a result of the new parameters that you just entered. You will become an expert in graphing statistical distributions in Excel. You will also become an expert at the distributions themselves. This book is loaded with completed problems and screenshots in Excel of all eight of the major statistical distributions. The instructions are clear and easy-to-follow but at the graduate level. Nothing but simple explanations all taught in small-bite-size lessons. The emphasis is on problem solving, not on useless, complicated, hard-to-apply theory that fills many statistics course. If you are currently taking a difficult graduate-level statistics course that covers statistical distributions in detail, you will find this manual to be an outstanding course supplement that will explain statistical distributions much more clearly than your textbook does. Every lesson uses Excel. You'll be glad to know that you'll never have to look up anything on statistical charts ever again. The easy-to-follow statistical distributions problem-solving frameworks in this manual can be cleanly and swiftly duplicated in the real world. If you are a business manager, you will really appreciate how easily and clearly this manual will show you how you can statistical distributions in Excel to solve a wide variety of difficult problems on your job. You already know Excel so no new software is necessary. You don't need SPSS, SAS, SyStat, or Minitab. All of those are expensive, require lots of user training, and expect the user to be an expert statistician right from the start. Not Excel nor this book. This manual achieves two goals: teaching graduate-level statistical distribution frameworks in an easy-to-understand, real-world, practical way and then showing how to implement all of it in Excel. This manual will make you an Excel Statistical Master of the most important statistical distributions.

Author : Mark Harmon
Publisher : Unknown
Page : 142 pages
File Size : 52,5 Mb
Release : 2011-04-09
Category : Business & Economics
ISBN : 1937159027

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Hypothesis Testing in Excel - The Excel Statistical Master by Mark Harmon Pdf

Complete step-by-step instructions showing how to perform every type of hypothesis test and how to do each in Excel. This manual will make you an expert on knowing exactly how and when to use all types of hypothesis tests (hypothesis tests of mean vs. proportion, one-tailed vs. two-tailed tests, one-sample vs. two-sample tests, and unpaired data vs. paired data tests) and how to set them all up in Excel. This manual is loaded with completed problems and screenshots in Excel of all major variations of hypothesis tests. All hypothesis tests regardless of type can be solved in four steps. This manual walks you through that four-step process during each of the many solved problems. The instructions are clear and easy-to-follow but at the graduate level. Nothing but simple explanations all taught in small-bite-size lessons. The emphasis is on problem solving, not on useless, complicated, hard-to-apply theory that fills many statistics course. If you are currently taking a difficult graduate-level statistics course that covers hypothesis tests, you will find this manual to be an outstanding course supplement that will explain hypothesis testing much more clearly than your textbook does. Every lesson uses Excel. You'll be glad to know that you'll never have to look up anything on statistical charts ever again. The easy-to-follow frameworks in this manual can be cleanly and swiftly duplicated in the real world and on statistics exams by hand (without Excel) right away. If you are a business manager, you will really appreciate how easily and clearly this manual will show you how you can perform hypothesis tests in Excel to solve difficult statistical problems on your job. You already know Excel so no new software is necessary. You don't need SPSS, SAS, SyStat, or Minitab (all of those are expensive, require lots of user training, and expect the user to be an expert statistician right from the start. Not Excel nor this book. This manual achieves two goals: teaching graduate-level hypothesis testing statistical frameworks in an easy-to-understand, real-world, practical way and then showing how to implement all of it in Excel. Hypothesis tests are the most widely-used statistical tests in business. This manual will make you an Excel Statistical Master of hypothesis testing.

Author : Linda Herkenhoff,John Fogli
Publisher : Springer Science & Business Media
Page : 426 pages
File Size : 45,5 Mb
Release : 2013-11-26
Category : Computers
ISBN : 9781461484233

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Applied Statistics for Business and Management using Microsoft Excel by Linda Herkenhoff,John Fogli Pdf

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.

Author : Mark Harmon
Publisher : Mark Harmon
Page : 54 pages
File Size : 42,7 Mb
Release : 2011-02-18
Category : Business & Economics
ISBN : 9780983307051

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Normality Testing in Excel - The Excel Statistical Master by Mark Harmon Pdf

50 pages of complete step-by-step instructions showing how to perform a number of well-known Normality tests and how to do them all in Excel. This e-manual will make you an expert on knowing exactly how and when to use these types of Normality tests: the Histogram, the Normal Probability Plot using 2 different methods, and the Chi-Square Goodness-Of-Fit Test, and how to set them all up in Excel. This e-manual is loaded with completed problems and step-by-step, easy-to-follow screenshots in Excel of all these different types of Normality tests. The instructions are clear and easy-to-follow but at the graduate level. If you are currently taking a difficult graduate-level statistics course that covers Normality testing, you will find this e-manual to be an outstanding course supplement that will explain Normality tests much more clearly than your textbook does. If you are a business manager, you will really appreciate how easily and clearly this e-manual will show you how you can perform these useful and quick Normality tests in Excel to verify data distributions on your job. Normality testing should always be performed before any of the widely-used parametric statistical tests are applied to data. Not many know how to do Normality testing. This e-manual will make you an Excel Statistical Master of Normality testing.

Author : Conrad Carlberg
Publisher : Que Publishing
Page : 825 pages
File Size : 42,9 Mb
Release : 2017-11-15
Category : Business & Economics
ISBN : 9780134840482

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Statistical Analysis by Conrad Carlberg Pdf

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

Author : Conrad George Carlberg
Publisher : Unknown
Page : 412 pages
File Size : 46,6 Mb
Release : 2011
Category : Microsoft Excel (Computer file)
ISBN : 0132681870

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Statistical Analysis by Conrad George Carlberg Pdf

Author : Conrad Carlberg
Publisher : Pearson Education
Page : 426 pages
File Size : 41,7 Mb
Release : 2011-04-22
Category : Business & Economics
ISBN : 9780132681919

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Statistical Analysis by Conrad Carlberg Pdf

Statistical Analysis: Microsoft Excel 2010 “Excel has become the standard platform for quantitative analysis. Carlberg has become a world-class guide for Excel users wanting to do quantitative analysis. The combination makes Statistical Analysis: Microsoft Excel 2010 a must-have addition to the library of those who want to get the job done and done right.” —Gene V Glass, Regents’ Professor Emeritus, Arizona State University Use Excel 2010’s statistical tools to transform your data into knowledge Use Excel 2010’s powerful statistical tools to gain a deeper understanding of your data, make more accurate and reliable inferences, and solve problems in fields ranging from business to health sciences. Top Excel guru Conrad Carlberg shows how to use Excel 2010 to perform the 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 its new consistency functions. Along the way, you discover the most effective ways to use correlation and regression and analysis of variance and covariance. You see how to use Excel to test statistical hypotheses using the normal, binomial, t and F distributions. 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 an extensive set of 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 • View how values cluster and disperse • Infer a population’s characteristics from a sample’s frequency distribution • Explore correlation and regression to learn how variables move in tandem • Understand Excel’s new consistency functions • Test differences between two means using z tests, t tests, and Excel’s Data Analysis Add-in • Use ANOVA and ANCOVA to test differences between more than two means • Explore statistical power by manipulating mean differences, standard errors, directionality, and alpha There is an Excel workbook for each chapter, and each worksheet is keyed to one of the book's figures. You'll also find additional material, such as a chart that demonstrates how statistical power shifts as you manipulate sample size, mean differences, alpha and directionality. To access these free files, please visit http://www.quepublishing.com/title/0789747200 and click the Downloads Tab.

Author : Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton
Publisher : Springer
Page : 0 pages
File Size : 52,8 Mb
Release : 2012-11-10
Category : Medical
ISBN : 1461457785

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Excel 2010 for Biological and Life Sciences Statistics by Thomas J. Quirk,Meghan H. Quirk,Howard F. Horton Pdf

This is the first book to show the capabilities of Microsoft Excel to teach biological and life sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science 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 science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2010 for Biological and Life Sciences 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 science 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.

Author : Conrad Carlberg
Publisher : Que Publishing
Page : 714 pages
File Size : 54,5 Mb
Release : 2014-04-04
Category : Business & Economics
ISBN : 9780133823998

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Statistical Analysis by Conrad Carlberg Pdf

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 : Thomas J. Quirk,Simone Cummings
Publisher : Springer
Page : 0 pages
File Size : 54,6 Mb
Release : 2016-04-05
Category : Medical
ISBN : 3319289845

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Excel 2013 for Health Services Management Statistics by Thomas J. Quirk,Simone Cummings Pdf

This book shows how Microsoft Excel is able to teach health services management statistics effectively. Similar to the previously published Excel 2010 for Health Services Management Statistics, it is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical health services management 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 health services management courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2010 for Health Services Management Statistics: A Guide to Solving Practical Problems capitalizes 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 health services management 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.