No Bs Bad Stats Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of No Bs Bad Stats book. This book definitely worth reading, it is an incredibly well-written.
What if everything you thought you knew about Black people generally, and educating Black children specifically, was based on BS (bad stats)? No BS uses robust analysis, meaningful anecdotes, and powerful commentary to dispel myths and challenge conventional beliefs about educating Black children.
What if everything you thought you knew about Black people generally, and educating Black children specifically, was based on BS (bad stats)? No BS uses robust analysis, meaningful anecdotes, and powerful commentary to dispel myths and challenge conventional beliefs about educating Black children.
What if everything you thought you knew about Black people generally, and educating Black children specifically, was based on BS (bad stats)? No BS uses robust analysis, meaningful anecdotes, and powerful commentary to dispel myths and challenge conventional beliefs about educating Black children.
Statistics for People Who (Think They) Hate Statistics by Neil J. Salkind Pdf
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.
Black People Don't Read by Janks Morton,Achebe Toldson,Ivory Toldson Pdf
BLACK PEOPLE DON'T READ is a comprehensive summary of Data and Statistics from the most recent US Census Bureau, Department of Justice, Department of Education and other agencies around the state Blacks in America.BLACK PEOPLE DON'T READ is a tool to not only refute the plethora of misinformation that exists about Black Identity, but also as a conversation starter around many positive data points, too often missed by the media and seldom discussed at the Barbershop.
Author : Carl T. Bergstrom,Jevin D. West Publisher : Random House Trade Paperbacks Page : 338 pages File Size : 52,7 Mb Release : 2021-04-20 Category : Political Science ISBN : 9780525509202
Calling Bullshit by Carl T. Bergstrom,Jevin D. West Pdf
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data. “A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don’t feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data. You don’t need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit. We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
An invaluable work for people who need to understand statistics and utilise their results. The book is not technical: its purpose is to teach the reader how to understand and apply statistics. Most of the examples are from education but people in all fields that involve the use of statistics will find this book indispensable. Written with great clarity this is a first-rate statistics book for the non-statistician.
Too Much Schooling, Too Little Education by Mwalimu J. Shujaa Pdf
""Too Much Schooling with its educational focus, fits into the Afrocentric school of thought with its aim to develop subject-centered analysis and solutions for African children. This book is an attempt to illustrate and demonstrate some of the ways we can use our cultural base to educate children." -- Molefi K. Asante, Author of Africa World Press titles: Afrocentricity; Kemet, Afrocentricity, and Knowledge; The Book of African Names; Thunder and Silence; African Culture. "It is our responsibility as African-American parents, educators and citizens to develop educational settings - formal and informal - where cultural understandings (political, historical, literary, technological, financial, health, law, etc.) are not transmitted accidentally, but by design. Too Much Schooling, Too Little Education is an over-needed addition to the ongoing search for meaningful African-centered education. Dr. Shujaa has edited a collection that is not only a first in this field, he has also assembled in one volume some of the best thinkers and practitioners working today. This book is more than impressive, it is required reading." -- Haki R. Madhubuti, Publisher of Third World Press."--taken from back cover.
The Responsible Methodologist by Aaron M. Kuntz Pdf
Winner of The University of Alabama 2017 President’s Faculty Research Award What does it mean to be a responsible methodologist? Certainly it is more than being a research middle-manager who ensures that the tools used in a thesis or dissertation are of the right gauge. In The Responsible Methodologist, leading education scholar Aaron Kuntz uses the latest movements in social theory to challenge qualitative researchers to reconceptualize their work away from the technocratic toward an intervention, an ethical disruption of the norm, an activist stance toward progressive social change. Inviting creativity and vision, he insists that the responsible methodologist become a force leading the discourse toward social justice. His book-challenges the technocratic role given to qualitative methodologists in university settings;-urges them to become a force for change through Foucault’s parrhesia, risky truth-telling;-includes research projects that have incorporated this vision. http://amkuntz.people.ua.edu/
If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
No Bullshit Guide to Linear Algebra by Ivan Savov Pdf
This textbook covers the material for an undergraduate linear algebra course: vectors, matrices, linear transformations, computational techniques, geometric constructions, and theoretical foundations. The explanations are given in an informal conversational tone. The book also contains 100+ problems and exercises with answers and solutions. A special feature of this textbook is the prerequisites chapter that covers topics from high school math, which are necessary for learning linear algebra. The presence of this chapter makes the book suitable for beginners and the general audience-readers need not be math experts to read this book. Another unique aspect of the book are the applications chapters (Ch 7, 8, and 9) that discuss applications of linear algebra to engineering, computer science, economics, chemistry, machine learning, and even quantum mechanics.
Named one of Vulture’s Top 10 Best Books of 2020! Leftist firebrand Fredrik deBoer exposes the lie at the heart of our educational system and demands top-to-bottom reform. Everyone agrees that education is the key to creating a more just and equal world, and that our schools are broken and failing. Proposed reforms variously target incompetent teachers, corrupt union practices, or outdated curricula, but no one acknowledges a scientifically-proven fact that we all understand intuitively: Academic potential varies between individuals, and cannot be dramatically improved. In The Cult of Smart, educator and outspoken leftist Fredrik deBoer exposes this omission as the central flaw of our entire society, which has created and perpetuated an unjust class structure based on intellectual ability. Since cognitive talent varies from person to person, our education system can never create equal opportunity for all. Instead, it teaches our children that hierarchy and competition are natural, and that human value should be based on intelligence. These ideas are counter to everything that the left believes, but until they acknowledge the existence of individual cognitive differences, progressives remain complicit in keeping the status quo in place. This passionate, voice-driven manifesto demands that we embrace a new goal for education: equality of outcomes. We must create a world that has a place for everyone, not just the academically talented. But we’ll never achieve this dream until the Cult of Smart is destroyed.
Quantifying the User Experience by Jeff Sauro,James R Lewis Pdf
Quantifying the User Experience: Practical Statistics for User Research, Second Edition, provides practitioners and researchers with the information they need to confidently quantify, qualify, and justify their data. The book presents a practical guide on how to use statistics to solve common quantitative problems that arise in user research. It addresses questions users face every day, including, Is the current product more usable than our competition? Can we be sure at least 70% of users can complete the task on their first attempt? How long will it take users to purchase products on the website? This book provides a foundation for statistical theories and the best practices needed to apply them. The authors draw on decades of statistical literature from human factors, industrial engineering, and psychology, as well as their own published research, providing both concrete solutions (Excel formulas and links to their own web-calculators), along with an engaging discussion on the statistical reasons why tests work and how to effectively communicate results. Throughout this new edition, users will find updates on standardized usability questionnaires, a new chapter on general linear modeling (correlation, regression, and analysis of variance), with updated examples and case studies throughout. Completely updated to provide practical guidance on solving usability testing problems with statistics for any project, including those using Six Sigma practices Includes new and revised information on standardized usability questionnaires Includes a completely new chapter introducing correlation, regression, and analysis of variance Shows practitioners which test to use, why they work, and best practices for application, along with easy-to-use Excel formulas and web-calculators for analyzing data Recommends ways for researchers and practitioners to communicate results to stakeholders in plain English
Statistics is confusing, even for smart, technically competent people. And many students and professionals find that existing books and web resources don’t give them an intuitive understanding of confusing statistical concepts. That is why this book is needed. Some of the unique qualities of this book are: • Easy to Understand: Uses unique “graphics that teach” such as concept flow diagrams, compare-and-contrast tables, and even cartoons to enhance “rememberability.” • Easy to Use: Alphabetically arranged, like a mini-encyclopedia, for easy lookup on the job, while studying, or during an open-book exam. • Wider Scope: Covers Statistics I and Statistics II and Six Sigma Black Belt, adding such topics as control charts and statistical process control, process capability analysis, and design of experiments. As a result, this book will be useful for business professionals and industrial engineers in addition to students and professionals in the social and physical sciences. In addition, each of the 60+ concepts is covered in one or more articles. The 75 articles in the book are usually 5–7 pages long, ensuring that things are presented in “bite-sized chunks.” The first page of each article typically lists five “Keys to Understanding” which tell the reader everything they need to know on one page. This book also contains an article on “Which Statistical Tool to Use to Solve Some Common Problems”, additional “Which to Use When” articles on Control Charts, Distributions, and Charts/Graphs/Plots, as well as articles explaining how different concepts work together (e.g., how Alpha, p, Critical Value, and Test Statistic interrelate). ANDREW A. JAWLIK received his B.S. in Mathematics and his M.S. in Mathematics and Computer Science from the University of Michigan. He held jobs with IBM in marketing, sales, finance, and information technology, as well as a position as Process Executive. In these jobs, he learned how to communicate difficult technical concepts in easy - to - understand terms. He completed Lean Six Sigma Black Belt coursework at the IASSC - accredited Pyzdek Institute. In order to understand the confusing statistics involved, he wrote explanations in his own words and graphics. Using this material, he passed the certification exam with a perfect score. Those statistical explanations then became the starting point for this book.
