This book is written for anyone who needs or wants to know how statistics work. It assumes no expert knowledge, and teaches through words and diagrams rather than through figures, formulae and equations - providing the perfect approach for the non-mathematical reader. Written as a "tutorial in print", Derek Rowntree includes questions in his argument; readers can answer them as they go, enabling them to measure their performance and judge how far they have mastered the subject.
"An ideal introduction to statistics in any field." This text uses words and diagrams, rather than formulas and equations, to help students from all subject areas understand what statistics is, and how to think statistically. The author uses a question-and-answer presentation style to help students learn on their own. "Statistics Without Tears" focuses on the ideas behind statistics only; students are not required to perform any calculations.
No Marketing Blurb
“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.
Making Sense of Statistics is the ideal introduction to the concepts of descriptive and inferential statistics for students undertaking their first research project. It presents each statistical concept in a series of short steps, then uses worked examples and exercises to enable students to apply their own learning. It focuses on presenting the why as well as the how of statistical concepts, rather than computations and formulae, so is suitable for students from all disciplines regardless of mathematical background. Only statistical techniques that are almost universally included in introductory statistics courses, and widely reported in journals, have been included. Once students understand and feel comfortable with the statistics that meet these criteria, they should find it easy to master additional statistical concepts. New to the Seventh Edition Retaining the key features and organization that have made this book an indispensable text for teaching and learning the basic concepts of statistical analysis, this new edition features: discussion of the use of observation in quantitative and qualitative research the inclusion of introductions to the book, and each Part. section objectives listed at the beginning of each section to guide the reader. new material on key topics such as z-scores, probability, Central Limit Theorem, Standard Deviation and simple and multiple regression Expanded discussion on t test with separate sections for independent and dependent samples t tests, as well as one-sample t test progressive analysis of bivariate vs multivariate statistics (starts with the basic concepts and moves to more complex analysis as the student progresses) updated and extended pedagogical material such as Chapter Objectives, exercises and worked examples to test and enhance student’s understanding of the material presented in the chapter Bolded key terms, with definitions and Glossary for quick referral expanded Appendices include a brief reference list of some common computational formulas and examples. a Glossary of key terms has been added at the end of the book, with references to sections in parenthesis. New online instructor resources for classroom use consisting of test bank questions and Powerpoint slides, plus material on basic math review
Through his years of teaching hospitality and tourism management and working with many of the country's leading consumer product and service firms, Professor Stanley I. Buchin understands the importance of using the right methods to discern meaningful information out of numbers. In Statistics Without Tears: Quantitative Analysis and Forecasting in Hospitality and Tourism, he presents a different approach to statistical analysis that avoids the headaches of math-intensive techniques in favor of graphics and computer programs, while still maintaining a rigorous approach to the analysis. The textbook launches into descriptive statistics by asking the question, are we measuring the right things? He examines what data is currently available to hospitality managers about their operations and what this data means (STAR reports). But one can begin to steer away from all that by displaying measurements with visual graphics such as pie charts and bar graphs, which are easier for most people to comprehend than mind-numbing lists of numbers. And there is a better way of summarizing measurements, too: Why not take advantage of computer software like Excel to make sense out of the standard data descriptors: mean, median, mode, variance, and standard deviation? With these tools in hand, the book tackles techniques for sales forecasting such as time-series analysis, correlation analysis, and exponential smoothing, as well as for cost forecasting, particularly by looking at regression analysis to estimate costs at different levels of business activity. New directions in forecasting are also introduced, including exponentially weighted regression, the professor's own personally developed technique. Drawing from his extensive academic and professional background, Professor Buchin's approach to teaching statistics analysis in Statistics Without Tears is bound to become standard text for courses in quantitative methods in all the best hospitality administration programs. Also available is an online Instructors Manual, which contains the following information: suggested course syllabus, PowerPoint slides outlining each chapter, answers to the problems at the end of each chapter, four sets of review problems and answers to these review problems, three suggested quizzes and a final examination, including answers to the quiz and final examination problems. Instructors who wish to get a copy of the Instructors Manual should contact the author at [email protected]
“We highly recommend it—not just for statistically terrified biology students and faculty, but also for those who are occasionally anxious or uncertain. In addition to being a good starting point to learn statistics, it is a useful place to return to refresh your memory.” –The Quarterly Review of Biology, March 2009 "During the entire course of my Ph.D. I've been (embarrasingly) looking for a way to teach myself the fundamentals of statistical analysis. At this point in my education, I've come to realize that often times, simply knowing the basics is enough for you to properly apply even the most complex analytical methods. ‘Statistics for Terrified Biologists’ has been just such a book - it was more than worth the \$40 I spent on it, and while my 'book clubs' aren't meant to be reviews, I highly recommend the book to anyone who's in a similar predicament to my own." –Carlo Artieri's Blog Book Club The typical biology student is “hardwired” to be wary of any tasks involving the application of mathematics and statistical analyses, but the plain fact is much of biology requires interpretation of experimental data through the use of statistical methods. This unique textbook aims to demystify statistical formulae for the average biology student. Written in a lively and engaging style, Statistics for Terrified Biologists draws on the author’s 30 years of lecturing experience. One of the foremost entomologists of his generation, van Emden has an extensive track record for successfully teaching statistical methods to even the most guarded of biology students. For the first time basic methods are presented using straightforward, jargon-free language. Students are taught to use simple formulae accurately to interpret what is being measured with each test and statistic, while at the same time learning to recognize overall patterns and guiding principles. Complemented by simple illustrations and useful case studies, this is an ideal statistics resource tool for undergraduate biology and environmental science students who lack confidence in their mathematical abilities.
Simple Statistics is suitable primarily for A-level students and undergraduates following courses in psychology and, to a lesser degree, sociology, economics and geography.
Who would have guessed that four minutes could change everything? Today should be one of the worst days of seventeen-year-old Hadley Sullivan's life. Having missed her flight, she's stuck at JFK airport and late to her father's second wedding, which is taking place in London and involves a soon-to-be stepmother Hadley's never even met. Then she meets the perfect boy in the airport's cramped waiting area. His name is Oliver, he's British, and he's sitting in her row. A long night on the plane passes in the blink of an eye, and Hadley and Oliver lose track of each other in the airport chaos upon arrival. Can fate intervene to bring them together once more? Quirks of timing play out in this romantic and cinematic novel about family connections, second chances, and first loves. Set over a twenty-four-hour-period, Hadley and Oliver's story will make you believe that true love finds you when you're least expecting it.
This introductory statistics textbook conveys the essential concepts and tools needed to develop and nurture statistical thinking. It presents descriptive, inductive and explorative statistical methods and guides the reader through the process of quantitative data analysis. In the experimental sciences and interdisciplinary research, data analysis has become an integral part of any scientific study. Issues such as judging the credibility of data, analyzing the data, evaluating the reliability of the obtained results and finally drawing the correct and appropriate conclusions from the results are vital. The text is primarily intended for undergraduate students in disciplines like business administration, the social sciences, medicine, politics, macroeconomics, etc. It features a wealth of examples, exercises and solutions with computer code in the statistical programming language R as well as supplementary material that will enable the reader to quickly adapt all methods to their own applications.
This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.
Not a numbers person? No problem! This new edition is aimed at high school and college students who need to take statistics to fulfill a degree requirement and follows a standard statistics curriculum. Readerswill find information on frequency distributions; mean, median, and mode; range, variance, and standard deviation;probability; and more. -Emphasizes Microsoft Excel for number-crunching and computations Download a sample chapter.
This book tells you everything you need to know, everything you need to think about, and everything you need to do to be a successful manager. It covers all aspects of management, giving you the confidence to tackle things thoroughly and help develop your own managerial competence. Every one of the checklists in this book is fast, focused and has been specially written for busy managers like you. Quickly access hundreds of essential tips and tricks, discover vital insider knowledge and winning strategies, and learn everything you need to know to be a brilliant manager. · Make the best informed decisions every time · Understand the problems that you might face every day · Become a more systematic and thorough manager "Had I not seen it and read it, I would not have believed it was possible to reduce all those fine-sounding theories to such straightforward lists - you are a genius, even if you are doing me out of a job." Charles Handy
This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.
The Cartoon Introduction to Statistics is the most imaginative and accessible introductory statistics course you'll ever take. Employing an irresistible cast of dragon-riding Vikings, lizard-throwing giants, and feuding aliens, the renowned illustrator Grady Klein and the award-winning statistician Alan Dabney teach you how to collect reliable data, make confident statements based on limited information, and judge the usefulness of polls and the other numbers that you're bombarded with every day. If you want to go beyond the basics, they've created the ultimate resource: "The Math Cave," where they reveal the more advanced formulas and concepts. Timely, authoritative, and hilarious, The Cartoon Introduction to Statistics is an essential guide for anyone who wants to better navigate our data-driven world.
Designed for self-instruction, this text is intended for students to use on their own while simultaneously taking a statistics course using a standard textbook. Then on mathematical approach maximizes the use of verbal and visual languages. The text covers such topics as Bayes' Theorem and statistical independence, probability distributions, confidence intervals, and analysis of variance.
Over Half a Million Copies Sold--an Honest-to-Goodness Bestseller Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to full rather than to inform.