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Graphing Statistical Distributions in Excel - the Excel Statistical Master

Author: Mark Harmon

Publisher:

Published: 2011-04-09

Total Pages: 98

ISBN-13: 9781937159061

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Clear and thorough instructions about how to create interactive graphs in Excel of the eight most popular statistical distributions. 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. 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 watch the distribution's Excel graph instantaneously change shape as a result of the new parameters that you just entered. For example, you will be able to vary either of the Normal Distribution's two parameters, the mean and standard deviation, and then watch how the new parameters instantly change the shape of the graph on the Excel spreadsheet. It is an outstanding way to quickly master all of the distributions and fully understand what effect each parameter has on the shape of the graph of a particular distribution. One entertaining example of this is to watch the Chi-Square Distribution's graph resemble a wave rolling from left to right across the spreadsheet as the Chi-Square Distribution's only parameter, its degrees of freedom, is increased. You'll see exactly how to graph each distribution by simply following the numerous screen shots throughout this manual. The beginning of this manual has a special section which provides detailed instructions about how to create the graph of a generic distribution on a Excel spreadsheet. It is a lot simpler than you might imagine. This manual will make you an Excel Statistical Master at creating user-interactive graphs in Excel of the eight most well-known statistical distributions.

Book Synopsis Graphing Statistical Distributions in Excel - the Excel Statistical Master by : Mark Harmon

Download or read book Graphing Statistical Distributions in Excel - the Excel Statistical Master written by Mark Harmon and published by . This book was released on 2011-04-09 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clear and thorough instructions about how to create interactive graphs in Excel of the eight most popular statistical distributions. 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. 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 watch the distribution's Excel graph instantaneously change shape as a result of the new parameters that you just entered. For example, you will be able to vary either of the Normal Distribution's two parameters, the mean and standard deviation, and then watch how the new parameters instantly change the shape of the graph on the Excel spreadsheet. It is an outstanding way to quickly master all of the distributions and fully understand what effect each parameter has on the shape of the graph of a particular distribution. One entertaining example of this is to watch the Chi-Square Distribution's graph resemble a wave rolling from left to right across the spreadsheet as the Chi-Square Distribution's only parameter, its degrees of freedom, is increased. You'll see exactly how to graph each distribution by simply following the numerous screen shots throughout this manual. The beginning of this manual has a special section which provides detailed instructions about how to create the graph of a generic distribution on a Excel spreadsheet. It is a lot simpler than you might imagine. This manual will make you an Excel Statistical Master at creating user-interactive graphs in Excel of the eight most well-known statistical distributions.

Mastering Statistical Distributions in Excel - the Excel Statistical Master

Author: Mark Harmon

Publisher:

Published: 2011-04-09

Total Pages: 180

ISBN-13: 9781937159054

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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.

Book Synopsis Mastering Statistical Distributions in Excel - the Excel Statistical Master by : Mark Harmon

Download or read book Mastering Statistical Distributions in Excel - the Excel Statistical Master written by Mark Harmon and published by . This book was released on 2011-04-09 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master

Author: Mark Harmon

Publisher: Mark Harmon

Published: 2011-03-16

Total Pages:

ISBN-13: 0983307083

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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.

Book Synopsis Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Practical and Clear Graduate Statistics in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-03-16 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Normality Testing in Excel - The Excel Statistical Master

Author: Mark Harmon

Publisher: Mark Harmon

Published: 2011-02-18

Total Pages: 54

ISBN-13: 0983307059

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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.

Book Synopsis Normality Testing in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Normality Testing in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-18 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Advanced Regression in Excel - The Excel Statistical Master

Author: Mark Harmon

Publisher: Mark Harmon

Published: 2011-02-22

Total Pages: 54

ISBN-13: 0983307067

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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.

Book Synopsis Advanced Regression in Excel - The Excel Statistical Master by : Mark Harmon

Download or read book Advanced Regression in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-22 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Analysis

Author: Conrad Carlberg

Publisher: Que Publishing

Published: 2014-04-04

Total Pages: 714

ISBN-13: 0133823997

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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

Book Synopsis Statistical Analysis by : Conrad Carlberg

Download or read book Statistical Analysis written by Conrad Carlberg and published by Que Publishing. This book was released on 2014-04-04 with total page 714 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Even You Can Learn Statistics and Analytics

Author: David M. Levine

Publisher: Pearson Education

Published: 2015

Total Pages: 380

ISBN-13: 0133382664

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"Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics and analytics -- for everyone! One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever -- all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models -- including complete solutions you can put right to work in business, school, or anywhere else."--Publisher's description.

Book Synopsis Even You Can Learn Statistics and Analytics by : David M. Levine

Download or read book Even You Can Learn Statistics and Analytics written by David M. Levine and published by Pearson Education. This book was released on 2015 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Now fully updated for "big data" analytics and the newest applications, Even You Can Learn Statistics and Analytics, Third Edition is the practical, up-to-date introduction to statistics and analytics -- for everyone! One easy step at a time, you'll learn all the statistical techniques you'll need for finance, marketing, quality, science, social science, or anything else. Simple jargon-free explanations help you understand every technique, and realistic examples and worked problems give you all the hands-on practice you'll need. This edition contains more practical examples than ever -- all updated for the newest versions of Microsoft Excel. You'll find downloadable practice files, templates, data sets, and sample models -- including complete solutions you can put right to work in business, school, or anywhere else."--Publisher's description.

Statistical Analysis with Excel For Dummies

Author: Joseph Schmuller

Publisher: For Dummies

Published: 2011-02-11

Total Pages: 408

ISBN-13: 9781118079973

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Book Synopsis Statistical Analysis with Excel For Dummies by : Joseph Schmuller

Download or read book Statistical Analysis with Excel For Dummies written by Joseph Schmuller and published by For Dummies. This book was released on 2011-02-11 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Statistics for Business and Management using Microsoft Excel

Author: Linda Herkenhoff

Publisher: Springer Science & Business Media

Published: 2013-11-26

Total Pages: 426

ISBN-13: 1461484235

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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.

Book Synopsis Applied Statistics for Business and Management using Microsoft Excel by : Linda Herkenhoff

Download or read book Applied Statistics for Business and Management using Microsoft Excel written by Linda Herkenhoff and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Statistical Analysis

Author: Conrad Carlberg

Publisher: Que Publishing

Published: 2017-11-15

Total Pages: 825

ISBN-13: 0134840488

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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

Book Synopsis Statistical Analysis by : Conrad Carlberg

Download or read book Statistical Analysis written by Conrad Carlberg and published by Que Publishing. This book was released on 2017-11-15 with total page 825 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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