Statistical Hypothesis Testing with Microsoft ® Office Excel ®

Statistical Hypothesis Testing with Microsoft ® Office Excel ®

Author: Robert Hirsch

Publisher: Springer Nature

Published: 2022-07-14

Total Pages: 94

ISBN-13: 3031042026

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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 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.

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Author: Phillip I. Good

Publisher: John Wiley & Sons

Published: 2005-07-22

Total Pages: 245

ISBN-13: 0471741760

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Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.


Book Synopsis Introduction to Statistics Through Resampling Methods and Microsoft Office Excel by : Phillip I. Good

Download or read book Introduction to Statistics Through Resampling Methods and Microsoft Office Excel written by Phillip I. Good and published by John Wiley & Sons. This book was released on 2005-07-22 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test, and permutations to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including: * Tests and estimation procedures for one, two, and multiple samples * Model building * Multivariate analysis * Complex experimental design Throughout the text, Microsoft Office Excel(r) is used to illustrate new concepts and assist readers in completing exercises. An Excel Primer is included as an Appendix for readers who need to learn or brush up on their Excel skills. Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided: * More than 100 exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills * Companion FTP site provides access to all data sets discussed in the text * An Instructor's Manual is available upon request from the publisher * Dozens of thought-provoking questions in the final chapter assist readers in applying statistics to solve real-life problems * Helpful appendices include an index to Excel and Excel add-in functions This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited to both students and practitioners.

Understanding Educational Statistics Using Microsoft Excel and SPSS

Understanding Educational Statistics Using Microsoft Excel and SPSS

Author: Martin Lee Abbott

Publisher: John Wiley & Sons

Published: 2014-08-21

Total Pages: 446

ISBN-13: 1118627180

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Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.


Book Synopsis Understanding Educational Statistics Using Microsoft Excel and SPSS by : Martin Lee Abbott

Download or read book Understanding Educational Statistics Using Microsoft Excel and SPSS written by Martin Lee Abbott and published by John Wiley & Sons. This book was released on 2014-08-21 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data. The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material. Bridging traditional statistical topics with the latest software and applications in the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.

Statistical Hypothesis Testing with SAS and R

Statistical Hypothesis Testing with SAS and R

Author: Dirk Taeger

Publisher: John Wiley & Sons

Published: 2014-01-09

Total Pages: 278

ISBN-13: 1118762614

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A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. Key features: • Provides examples in both SAS and R for each test presented. • Looks at the most common statistical tests, displayed in a clear and easy to follow way. • Supported by a supplementary website http://www.d-taeger.de featuring example program code. Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.


Book Synopsis Statistical Hypothesis Testing with SAS and R by : Dirk Taeger

Download or read book Statistical Hypothesis Testing with SAS and R written by Dirk Taeger and published by John Wiley & Sons. This book was released on 2014-01-09 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in both SAS and R are provided, along with program code to perform the test, resulting output and remarks explaining the necessary program parameters. Key features: • Provides examples in both SAS and R for each test presented. • Looks at the most common statistical tests, displayed in a clear and easy to follow way. • Supported by a supplementary website http://www.d-taeger.de featuring example program code. Academics, practitioners and SAS and R programmers will find this book a valuable resource. Students using SAS and R will also find it an excellent choice for reference and data analysis.

R Through Excel

R Through Excel

Author: Richard M. Heiberger

Publisher: Springer Science & Business Media

Published: 2010-01-23

Total Pages: 357

ISBN-13: 1441900527

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In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.


Book Synopsis R Through Excel by : Richard M. Heiberger

Download or read book R Through Excel written by Richard M. Heiberger and published by Springer Science & Business Media. This book was released on 2010-01-23 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new programming language.

Introductory Business Statistics (hardcover, Full Color)

Introductory Business Statistics (hardcover, Full Color)

Author: Alexander Holmes

Publisher:

Published: 2023-06-30

Total Pages: 0

ISBN-13: 9781998109494

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Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.


Book Synopsis Introductory Business Statistics (hardcover, Full Color) by : Alexander Holmes

Download or read book Introductory Business Statistics (hardcover, Full Color) written by Alexander Holmes and published by . This book was released on 2023-06-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Printed in color. Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel

Author: Robert P. Hirsch

Publisher: John Wiley & Sons

Published: 2016-02-29

Total Pages: 416

ISBN-13: 1119089654

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A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.


Book Synopsis Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel by : Robert P. Hirsch

Download or read book Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel written by Robert P. Hirsch and published by John Wiley & Sons. This book was released on 2016-02-29 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical and methodological approach to the statistical logic of biostatistics in the field of health research Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels. The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes: Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications Implements Excel graphic representations throughout to help readers evaluate and analyze individual results An appendix with basic information on how to use Excel A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Statistics for Exercise Science and Health with Microsoft Office Excel

Statistics for Exercise Science and Health with Microsoft Office Excel

Author: J. P. Verma

Publisher: John Wiley & Sons

Published: 2014-06-30

Total Pages: 1227

ISBN-13: 1118855175

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This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis. Statistics for Exercise Science and Health with Microsoft Office Excel: Aids readers in analyzing their own data using the presented statistical techniques combined with Excel Features comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science Utilizes Excel to enhance reader competency in data analysis and experimental designs Includes coverage of both binomial and poison distributions with applications in exercise science and health Provides solved examples and plentiful practice exercises throughout in addition to case studies to illustrate the discussed analytical techniques Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems


Book Synopsis Statistics for Exercise Science and Health with Microsoft Office Excel by : J. P. Verma

Download or read book Statistics for Exercise Science and Health with Microsoft Office Excel written by J. P. Verma and published by John Wiley & Sons. This book was released on 2014-06-30 with total page 1227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis. Statistics for Exercise Science and Health with Microsoft Office Excel: Aids readers in analyzing their own data using the presented statistical techniques combined with Excel Features comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science Utilizes Excel to enhance reader competency in data analysis and experimental designs Includes coverage of both binomial and poison distributions with applications in exercise science and health Provides solved examples and plentiful practice exercises throughout in addition to case studies to illustrate the discussed analytical techniques Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems

Hypothesis Testing in Excel - The Excel Statistical Master

Hypothesis Testing in Excel - The Excel Statistical Master

Author: Mark Harmon

Publisher: Mark Harmon

Published: 2011-02-15

Total Pages: 95

ISBN-13: 0983307024

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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 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.

Oxford Handbook of Epidemiology for Clinicians

Oxford Handbook of Epidemiology for Clinicians

Author: Helen Ward

Publisher: OUP Oxford

Published: 2012-05-24

Total Pages: 417

ISBN-13: 0191546135

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The Oxford Handbook of Epidemiology for Clinicians provides all the information required by students and junior doctors who need to understand and translate key epidemiological concepts into medical practice. Unlike standard textbooks in this area, the focus throughout is on clinical applications of epidemiological knowledge. Divided into four sections, the handbook begins with the basics of epidemiology in the clinic, moving on to the theories behind evidence-based practice, discussions of optimum methods and studies, and then ends by looking at the epidemiology of common diseases. The material is presented in a logical manner, from problems to the most appropriate solutions or tools to be applied. Interesting topics such as controversies in prevention intervention encourage discussion and thought, and the authors pose sensible and important questions throughout. This handbook is a must for all junior doctors, medical students, and clinicians who need to apply epidemiological concepts to day-to-day practice or who want a practical step-by-step guide to undertaking research, conducting reviews of evidence, or writing up publications.


Book Synopsis Oxford Handbook of Epidemiology for Clinicians by : Helen Ward

Download or read book Oxford Handbook of Epidemiology for Clinicians written by Helen Ward and published by OUP Oxford. This book was released on 2012-05-24 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Epidemiology for Clinicians provides all the information required by students and junior doctors who need to understand and translate key epidemiological concepts into medical practice. Unlike standard textbooks in this area, the focus throughout is on clinical applications of epidemiological knowledge. Divided into four sections, the handbook begins with the basics of epidemiology in the clinic, moving on to the theories behind evidence-based practice, discussions of optimum methods and studies, and then ends by looking at the epidemiology of common diseases. The material is presented in a logical manner, from problems to the most appropriate solutions or tools to be applied. Interesting topics such as controversies in prevention intervention encourage discussion and thought, and the authors pose sensible and important questions throughout. This handbook is a must for all junior doctors, medical students, and clinicians who need to apply epidemiological concepts to day-to-day practice or who want a practical step-by-step guide to undertaking research, conducting reviews of evidence, or writing up publications.