The Practically Cheating Statistics Handbook 3rd Edition
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Author | : S. Deviant |
Publisher | : Lulu.com |
Total Pages | : 202 |
Release | : 2011-12-01 |
Genre | : Mathematics |
ISBN | : 0578099098 |
"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. Dozens of TI-83 how-to articles are included! This edition of The Practically Cheating Statistics Handbook includes the TI-83 Companion Guide, giving you simple, step-by-step instructions for solving the most common statistics problems with the TI-83 calculator. The guide walks you through each problem type, telling you exactly what buttons to press without leaving out any details!
Author | : Sue L. T. McGregor |
Publisher | : SAGE Publications |
Total Pages | : 880 |
Release | : 2017-10-25 |
Genre | : Social Science |
ISBN | : 1506350976 |
Understanding and Evaluating Research: A Critical Guide shows students how to be critical consumers of research and to appreciate the power of methodology as it shapes the research question, the use of theory in the study, the methods used, and how the outcomes are reported. The book starts with what it means to be a critical and uncritical reader of research, followed by a detailed chapter on methodology, and then proceeds to a discussion of each component of a research article as it is informed by the methodology. The book encourages readers to select an article from their discipline, learning along the way how to assess each component of the article and come to a judgment of its rigor or quality as a scholarly report.
Author | : S Deviant Mat |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 0 |
Release | : 2010-01-15 |
Genre | : Statistics |
ISBN | : 9781449957858 |
"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.
Author | : Kathryn Kozak |
Publisher | : Lulu.com |
Total Pages | : 459 |
Release | : 2015-12-12 |
Genre | : Education |
ISBN | : 1329757254 |
Statistics With Technology, Second Edition, is an introductory statistics textbook. It uses the TI-83/84 calculator and R, an open source statistical software, for all calculations. Other technology can also be used besides the TI-83/84 calculator and the software R, but these are the ones that are presented in the text. This book presents probability and statistics from a more conceptual approach, and focuses less on computation. Analysis and interpretation of data is more important than how to compute basic statistical values.
Author | : S. Deviant |
Publisher | : Createspace Independent Publishing Platform |
Total Pages | : 0 |
Release | : 2014-03-08 |
Genre | : Statistics |
ISBN | : 9781496163400 |
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.
Author | : Alex Reinhart |
Publisher | : No Starch Press |
Total Pages | : 177 |
Release | : 2015-03-01 |
Genre | : Mathematics |
ISBN | : 1593276206 |
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.
Author | : David Diez |
Publisher | : |
Total Pages | : |
Release | : 2015-07-02 |
Genre | : |
ISBN | : 9781943450046 |
The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. We feature real data whenever possible, and files for the entire textbook are freely available at openintro.org. Visit our website, openintro.org. We provide free videos, statistical software labs, lecture slides, course management tools, and many other helpful resources.
Author | : Shirley Glass |
Publisher | : Simon and Schuster |
Total Pages | : 450 |
Release | : 2007-11-01 |
Genre | : Family & Relationships |
ISBN | : 1416586407 |
One of the world’s leading experts on infidelity provides a step-by-step guide through the process of infidelity—from suspicion and revelation to healing, and provides profound, practical guidance to prevent infidelity and, if it happens, recover and heal from it. You’re right to be cautious when you hear these words: “I’m telling you, we’re just friends.” Good people in good marriages are having affairs. The workplace and the Internet have become fertile breeding grounds for “friendships” that can slowly and insidiously turn into love affairs. Yet you can protect your relationship from emotional or sexual betrayal by recognizing the red flags that mark the stages of slipping into an improper, dangerous intimacy that can threaten your marriage.
Author | : Richard McElreath |
Publisher | : CRC Press |
Total Pages | : 488 |
Release | : 2018-01-03 |
Genre | : Mathematics |
ISBN | : 1315362619 |
Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the need for even minor programming in today’s model-based statistics, the book pushes readers to perform step-by-step calculations that are usually automated. This unique computational approach ensures that readers understand enough of the details to make reasonable choices and interpretations in their own modeling work. The text presents generalized linear multilevel models from a Bayesian perspective, relying on a simple logical interpretation of Bayesian probability and maximum entropy. It covers from the basics of regression to multilevel models. The author also discusses measurement error, missing data, and Gaussian process models for spatial and network autocorrelation. By using complete R code examples throughout, this book provides a practical foundation for performing statistical inference. Designed for both PhD students and seasoned professionals in the natural and social sciences, it prepares them for more advanced or specialized statistical modeling. Web Resource The book is accompanied by an R package (rethinking) that is available on the author’s website and GitHub. The two core functions (map and map2stan) of this package allow a variety of statistical models to be constructed from standard model formulas.
Author | : Thomas H. Cormen |
Publisher | : MIT Press |
Total Pages | : 1313 |
Release | : 2009-07-31 |
Genre | : Computers |
ISBN | : 0262258102 |
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.