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Hypothesis Testing In Excel The Excel Statistical Master
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Book Synopsis Hypothesis Testing in Excel - The Excel Statistical Master by : Mark Harmon
Download or read book Hypothesis Testing in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-15 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: 87 pages of complete step-by-step instructions showing how to perform every type of hypothesis test and how to do them all in Excel. This e-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 e-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 e-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. If you are currently taking a difficult graduate-level statistics course that covers hypothesis tests, you will find this e-manual to be an outstanding course supplement that will explain hypothesis 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 hypothesis tests in Excel to solve difficult statistical problems on your job. Hypothesis tests are the most widely-used statistical tests in business. This e-manual will make you an Excel Statistical Master of hypothesis testing.
Book Synopsis t-Tests in Excel - The Excel Statistical Master by : Mark Harmon
Download or read book t-Tests in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-15 with total page 62 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Confidence Intervals, Hypothesis Tests, and T-Tests in Excel - the Excel Statistical Master by : Mark Harmon
Download or read book Confidence Intervals, Hypothesis Tests, and T-Tests in Excel - the Excel Statistical Master written by Mark Harmon and published by . This book was released on 2011-01-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Nonparametric Testing in Excel - The Excel Statistical Master by : Mark Harmon
Download or read book Nonparametric 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 pages. Available in PDF, EPUB and Kindle. Book excerpt: 69 pages of complete step-by-step instructions showing how to perform nearly every major type of nonparametric test and how to do them all in Excel. This e-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 e-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. If you are currently taking a difficult graduate-level statistics course that covers nonparametric or normality tests, you will find this e-manual to be an outstanding course supplement that will explain nonparametric 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 nonparametric tests in Excel to solve difficult statistical problems on your job. Nonparametric tests are the most important of all 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 e-manual will make you an Excel Statistical Master of nonparametric testing.
Book Synopsis Confidence Intervals in Excel - The Excel Statistical Master by : Mark Harmon
Download or read book Confidence Intervals in Excel - The Excel Statistical Master written by Mark Harmon and published by Mark Harmon. This book was released on 2011-02-14 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
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.
Book Synopsis Statistical Hypothesis Testing with Microsoft ® Office Excel ® by : Robert Hirsch
Download or read book Statistical Hypothesis Testing with Microsoft ® Office Excel ® written by Robert Hirsch and published by Springer Nature. This book was released on 2022-07-14 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive treatment of the logic behind hypothesis testing. Readers will learn to understand statistical hypothesis testing and how to interpret P-values under a variety of conditions including a single hypothesis test, a collection of hypothesis tests, and tests performed on accumulating data. The author explains how a hypothesis test can be interpreted to draw conclusions, and descriptions of the logic behind frequentist (classical) and Bayesian approaches to interpret the results of a statistical hypothesis test are provided. Both approaches have their own strengths and challenges, and a special challenge presents itself when hypothesis tests are repeatedly performed on accumulating data. Possible pitfalls and methods to interpret hypothesis tests when accumulating data are also analyzed. This book will be of interest to researchers, graduate students, and anyone who has to interpret the results of statistical analyses.
Book Synopsis Statistics for Health Care Professionals by : James E. Veney
Download or read book Statistics for Health Care Professionals written by James E. Veney and published by John Wiley & Sons. This book was released on 2009-08-07 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for Health Care Professionals: Working with Excel (second edition) is written in a clear, easily followed style keyed to the powerful statistical tool, Microsoft Excel 2007. It introduces the use of statistics applicable to health administration, health policy, public health, health information management, and other professions, emphasizing the logic of probability and statistical analysis in all areas. Coverage includes data acquisition, data display, basics of probability, data distributions, confidence limits and hypothesis testing, statistical tests for categorical data, tests for related and unrelated data, analysis of variance, simple linear regression, multiple regression, and analysis with a dichotomous categorical dependent variable. A glossary and section-by-section review questions round out this uniquely comprehensive and accessible text.
Book Synopsis Excel 2019 for Social Work Statistics by : Thomas J. Quirk
Download or read book Excel 2019 for Social Work Statistics written by Thomas J. Quirk and published by Springer Nature. This book was released on 2021-04-01 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical social work 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 social work courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Social Work 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. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand social work 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.
Book Synopsis Excel 2007 for Biological and Life Sciences Statistics by : Thomas J Quirk
Download or read book Excel 2007 for Biological and Life Sciences Statistics written by Thomas J Quirk and published by Springer Science & Business Media. This book was released on 2012-11-13 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 2007 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.
Book Synopsis Excel 2016 for Biological and Life Sciences Statistics by : Thomas J. Quirk
Download or read book Excel 2016 for Biological and Life Sciences Statistics written by Thomas J. Quirk and published by Springer. This book was released on 2016-08-08 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life 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 is an effective learning tool for quantitative analyses in biological and life sciences courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2016 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 2016 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 biological and life 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.
Book Synopsis Excel 2019 for Marketing Statistics by : Thomas J. Quirk
Download or read book Excel 2019 for Marketing Statistics written by Thomas J. Quirk and published by Springer Nature. This book was released on 2021-02-23 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the capabilities of Microsoft Excel in teaching marketing statistics effectively. It is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical marketing 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 marketing courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Marketing 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. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand marketing 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.
Book Synopsis An Introduction to Statistics using Microsoft Excel by : Dan Remenyi
Download or read book An Introduction to Statistics using Microsoft Excel written by Dan Remenyi and published by UJ Press. This book was released on 2022-01-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: A significant amount of academic research his conducted using quantitative research methods. In many universities large and expensive statistical software has been acquired. However much of this software requires a considerable amount of training before researchers are capable of using it correctly and this can cause difficulties. Many academic researchers are surprised by just how much analytical work can be done using the ubiquitous Microsoft Excel software. This book presents a course on the use of statistics in academic research starting with simple descriptive techniques and working through to sophisticated inferential methods. A step-by-step approach has been taken and has been described by users of this book as similar to having the teacher standing by you as you learn about some of the sophisticated methods of handling and understanding data. Readers of this book have my best wishes in achieving their objectives through their work with academic research.
Book Synopsis Excel 2013 for Physical Sciences Statistics by : Thomas J. Quirk
Download or read book Excel 2013 for Physical Sciences Statistics written by Thomas J. Quirk and published by Springer. This book was released on 2016-03-09 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the 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 2013 for Physical 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.
Book Synopsis Excel 2019 for Physical Sciences Statistics by : Thomas J. Quirk
Download or read book Excel 2019 for Physical Sciences Statistics written by Thomas J. Quirk and published by Springer Nature. This book was released on 2021-03-08 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows the capabilities of Microsoft Excel in teaching physical science statistics effectively. Similar to the previously published Excel 2016 for Physical Sciences Statistics, this book is a step-by-step, exercise-driven guide for students and practitioners who need to master Excel to solve practical physical science problems. If understanding statistics isn’t the reader’s strongest suit, the reader is not mathematically inclined, or if the reader is new to computers or to Excel, this is the book to start off with. Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in physical science courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. Excel 2019 for Physical Sciences 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. In this new edition, each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand physical 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.
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 John Wiley & Sons. This book was released on 2013-04 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes how to use Microsoft Excel in statistical analysis.
