Author: S. Deviant
Publisher: Createspace Independent Publishing Platform
ISBN: 9781496163400
Category : Statistics
Languages : en
Pages : 0
Book Description
Updated and revised edition of the most popular "cheating" guide to statistics! Everything you need to get you through elementary statistics. Expanded t-tests, f-tests and hypothesis testing sections, plus everything from calculating standard deviations to chi-square tests. Are You Taking a Statistics Class Right Now or Very Soon? Are You Getting Your Butt Kicked, Like Everyone Else? Afraid You'll Have to Retake The Class or Even Miss Graduation? I wrote the Practically Cheating Statistics Handbook so you don't have to struggle anymore. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class. Here's what they are saying: This was very helpful. I am not sure if I could take this class without your examples.-Angie, Gen. Ed. I was starting to get that sinking feeling until I read this, love the matter of fact approach to describing the steps.-Bill, Gen. Ed.
This Is the Statistics Handbook Your Professor Doesn't Want You to See!
Author: S. Deviant
Publisher: Createspace Independent Publishing Platform
ISBN: 9781496163400
Category : Statistics
Languages : en
Pages : 0
Book Description
Updated and revised edition of the most popular "cheating" guide to statistics! Everything you need to get you through elementary statistics. Expanded t-tests, f-tests and hypothesis testing sections, plus everything from calculating standard deviations to chi-square tests. Are You Taking a Statistics Class Right Now or Very Soon? Are You Getting Your Butt Kicked, Like Everyone Else? Afraid You'll Have to Retake The Class or Even Miss Graduation? I wrote the Practically Cheating Statistics Handbook so you don't have to struggle anymore. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class. Here's what they are saying: This was very helpful. I am not sure if I could take this class without your examples.-Angie, Gen. Ed. I was starting to get that sinking feeling until I read this, love the matter of fact approach to describing the steps.-Bill, Gen. Ed.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781496163400
Category : Statistics
Languages : en
Pages : 0
Book Description
Updated and revised edition of the most popular "cheating" guide to statistics! Everything you need to get you through elementary statistics. Expanded t-tests, f-tests and hypothesis testing sections, plus everything from calculating standard deviations to chi-square tests. Are You Taking a Statistics Class Right Now or Very Soon? Are You Getting Your Butt Kicked, Like Everyone Else? Afraid You'll Have to Retake The Class or Even Miss Graduation? I wrote the Practically Cheating Statistics Handbook so you don't have to struggle anymore. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class. Here's what they are saying: This was very helpful. I am not sure if I could take this class without your examples.-Angie, Gen. Ed. I was starting to get that sinking feeling until I read this, love the matter of fact approach to describing the steps.-Bill, Gen. Ed.
The Practically Cheating Statistics Handbook
Author: S Deviant Mat
Publisher: Createspace Independent Publishing Platform
ISBN: 9781449957858
Category : Statistics
Languages : en
Pages : 0
Book Description
"The Simplest way to ace Statistics." Are you taking a statistics class right now or very soon? I struggled with statistics even while I got my master's degree in math, and after teaching statistics myself, I know why: statistics books and websites suck! They are written by people who "get" math, not for people like us! I wrote the Practically Cheating Statistics Handbook so you don't have to struggle anymore. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class.
Publisher: Createspace Independent Publishing Platform
ISBN: 9781449957858
Category : Statistics
Languages : en
Pages : 0
Book Description
"The Simplest way to ace Statistics." Are you taking a statistics class right now or very soon? I struggled with statistics even while I got my master's degree in math, and after teaching statistics myself, I know why: statistics books and websites suck! They are written by people who "get" math, not for people like us! I wrote the Practically Cheating Statistics Handbook so you don't have to struggle anymore. I've been giving my own students this material since I started teaching, and the students who use it never fail, and their average grade is one or two letter grades higher than other students in the same class.
The Practically Cheating Calculus Handbook
Author: S Deviant Mat
Publisher: CreateSpace
ISBN: 9781482391138
Category : Mathematics
Languages : en
Pages : 208
Book Description
Are you taking calculus right now and it's kicking your butt? You're not alone; when I was teaching calculus, I realized that textbooks suck! I wrote the Practically Cheating Calculus Handbook so that you don't have to struggle any more. This handbook contains hundreds of step-by-step explanations for calculus problems from differentiation to differential equations -- in plain English!
Publisher: CreateSpace
ISBN: 9781482391138
Category : Mathematics
Languages : en
Pages : 208
Book Description
Are you taking calculus right now and it's kicking your butt? You're not alone; when I was teaching calculus, I realized that textbooks suck! I wrote the Practically Cheating Calculus Handbook so that you don't have to struggle any more. This handbook contains hundreds of step-by-step explanations for calculus problems from differentiation to differential equations -- in plain English!
Statistical Analysis of Designed Experiments
Author: Ajit C. Tamhane
Publisher: John Wiley & Sons
ISBN: 1118491432
Category : Science
Languages : en
Pages : 724
Book Description
A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.
Publisher: John Wiley & Sons
ISBN: 1118491432
Category : Science
Languages : en
Pages : 724
Book Description
A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.
The Professor Is In
Author: Karen Kelsky
Publisher: Crown
ISBN: 0553419420
Category : Education
Languages : en
Pages : 450
Book Description
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
Publisher: Crown
ISBN: 0553419420
Category : Education
Languages : en
Pages : 450
Book Description
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
Naked Statistics: Stripping the Dread from the Data
Author: Charles Wheelan
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307
Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Publisher: W. W. Norton & Company
ISBN: 0393089827
Category : Mathematics
Languages : en
Pages : 307
Book Description
A New York Times bestseller "Brilliant, funny…the best math teacher you never had." —San Francisco Chronicle Once considered tedious, the field of statistics is rapidly evolving into a discipline Hal Varian, chief economist at Google, has actually called "sexy." From batting averages and political polls to game shows and medical research, the real-world application of statistics continues to grow by leaps and bounds. How can we catch schools that cheat on standardized tests? How does Netflix know which movies you’ll like? What is causing the rising incidence of autism? As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver. Wheelan strips away the arcane and technical details and focuses on the underlying intuition that drives statistical analysis. He clarifies key concepts such as inference, correlation, and regression analysis, reveals how biased or careless parties can manipulate or misrepresent data, and shows us how brilliant and creative researchers are exploiting the valuable data from natural experiments to tackle thorny questions. And in Wheelan’s trademark style, there’s not a dull page in sight. You’ll encounter clever Schlitz Beer marketers leveraging basic probability, an International Sausage Festival illuminating the tenets of the central limit theorem, and a head-scratching choice from the famous game show Let’s Make a Deal—and you’ll come away with insights each time. With the wit, accessibility, and sheer fun that turned Naked Economics into a bestseller, Wheelan defies the odds yet again by bringing another essential, formerly unglamorous discipline to life.
Statistics for People Who (Think They) Hate Statistics
Author: Neil J. Salkind
Publisher: SAGE Publications
ISBN: 1483374106
Category : Social Science
Languages : en
Pages : 642
Book Description
Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
Publisher: SAGE Publications
ISBN: 1483374106
Category : Social Science
Languages : en
Pages : 642
Book Description
Based on Neil J. Salkind’s bestselling text, Statistics for People Who (Think They) Hate Statistics, this adapted Excel 2016 version presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students uncomfortable with the analysis portion of their work will appreciate the book′s unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques and then walks them through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. New to the Fourth Edition: A new chapter 20 dealing with large data sets using Excel functions and pivot tables, and illustrating how certain databases and other categories of functions and formulas can help make the data in big data sets easier to work with and the results more understandable. New chapter-ending exercises are included and contain a variety of levels of application. Additional TechTalks have been added to help students master Excel 2016. A new, chapter-ending Real World Stats feature shows readers how statistics is applied in the everyday world. Basic maths instruction and practice exercises for those who need to brush up on their math skills are included in the appendix.
Statistical Inference as Severe Testing
Author: Deborah G. Mayo
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Publisher: Cambridge University Press
ISBN: 1108563309
Category : Mathematics
Languages : en
Pages : 503
Book Description
Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification.
Advancing Doctoral Leadership Education Through Technology
Author: Laura Hyatt
Publisher: Edward Elgar Publishing
ISBN: 1786437023
Category : Doctor of philosophy degree
Languages : en
Pages : 263
Book Description
Technology plays a significant role in doctoral leadership studies providing a channel for teaching, learning, research, and administrative processes. Advancing Doctoral Leadership Education Through Technology addresses the growing need for universities to explore, revise, and develop the content and delivery of doctoral leadership education. A growing number of programs and the more recent inclusion of leadership courses within varied postgraduate disciplines illustrates the rising interest in doctoral leadership education. Advances in technology provide a vehicle to deliver content and information to a wide array of learners, therefore it is time to ask questions about the benefits, challenges and needed solutions to prepare for the future design and delivery of leadership education. This book offers valuable information for faculty and administrators responsible for developing and delivering doctoral studies through technology in order to provide access, convenience, enriched learning, and to create new pathways to achieve a doctorate. Professors working in a classroom-based, or primarily in virtual environments, or in a hybrid of both could also benefit from reading this book. Doctoral students engaged in completing their dissertations and research projects will also find a wealth of information related to higher education teaching, learning, and technology.
Publisher: Edward Elgar Publishing
ISBN: 1786437023
Category : Doctor of philosophy degree
Languages : en
Pages : 263
Book Description
Technology plays a significant role in doctoral leadership studies providing a channel for teaching, learning, research, and administrative processes. Advancing Doctoral Leadership Education Through Technology addresses the growing need for universities to explore, revise, and develop the content and delivery of doctoral leadership education. A growing number of programs and the more recent inclusion of leadership courses within varied postgraduate disciplines illustrates the rising interest in doctoral leadership education. Advances in technology provide a vehicle to deliver content and information to a wide array of learners, therefore it is time to ask questions about the benefits, challenges and needed solutions to prepare for the future design and delivery of leadership education. This book offers valuable information for faculty and administrators responsible for developing and delivering doctoral studies through technology in order to provide access, convenience, enriched learning, and to create new pathways to achieve a doctorate. Professors working in a classroom-based, or primarily in virtual environments, or in a hybrid of both could also benefit from reading this book. Doctoral students engaged in completing their dissertations and research projects will also find a wealth of information related to higher education teaching, learning, and technology.
Introduction to Probability
Author: Joseph K. Blitzstein
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599
Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.
Publisher: CRC Press
ISBN: 1466575573
Category : Mathematics
Languages : en
Pages : 599
Book Description
Developed from celebrated Harvard statistics lectures, Introduction to Probability provides essential language and tools for understanding statistics, randomness, and uncertainty. The book explores a wide variety of applications and examples, ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics, medicine, computer science, and information theory. The print book version includes a code that provides free access to an eBook version. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout, they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations, diagrams, and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R, a free statistical software environment.