Here is a book about statistics that you’ll welcome and enjoy. The author clarifies key concepts such as inference, correlation, and regression analysis. 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? You learn how the right data and a few well-chosen statistical tools can help answer these questions and more. > Buy Now

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not. > Buy Now

The Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. > Buy Now

Welcome to statistics. This friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations. It features lots of examples that show how statistical concepts apply to your everyday life. You'll see how to take the margin of error out of opinion polls and how to analyze data for improved classroon and on-the-job performance. Chances are, this book will be your number one resource for discovering how applied statistics figures into your corner of the universe. > Buy Now

Thoroughly entertaining introduction to statistics. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trials on "People's Court," or think that the standard deviation is a criminal offense, then you need The Cartoon Guide to Statistics. This book covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, hypothesis testing, confidence intervals, and much more--all explained in simple, clear, and yes, funny illustrations. Never again will you order the Poisson Distribution in a French restaurant! > Buy Now

A painless introduction to statistics. This book teaches students how to think about statistical issues. It is not 'mathy'. This means it requires only common sense, not an intensive mathematical background. The authors clearly cover all of the topics one would want to include in a first course. Real examples are used throughout to illustrate the value of the methods. All in all, a painless introduction to the world of statistcs. > Buy Now

This book guides beginners through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election, but it will provide a concise and simple-to-understand suplement to a standard textbook. > Buy Now

Packed with fresh and practical examples appropriate for a range of degree-seeking students, Statistics II For Dummies helps any reader succeed in an upper-level statistics course. It picks up with data analysis where Statistics For Dummies left off, featuring new and updated examples, real-world applications, and test-taking strategies for success. This easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test. > Buy Now

Most math and science study guides are dry and difficult, but this is the exception. Bestselling author Mike Kelley takes a typical statistics workbook, full of solved problems, and writes notes in the margins, adding missing steps and simplifying concepts and solutions. By learning how to interpret and solve problems as they are presented in statistics courses, students prepare to solve those difficult problems that were never discussed in class but are always on exams. One warning: There are a few typos, but they are usually easy to spot. > Buy Now

In The Manga Guide to Statistics, our heroine Rui is determined to learn about statistics to impress the dreamy Mr. Igarashi. Soon she's spending Saturdays with geeky, bespectacled Mr. Yamamoto, who patiently teaches her all about the fundamentals of statistics. After studying, Rui is confident in her knowledge of statistics, including concepts like probability, coefficients of correlation, hypothesis tests, and tests of independence. But is it enough to impress her dream guy? Or maybe there's someone better, right in front of her? Reluctant statistics students of all ages will enjoy learning along with Rui in this charming, easy-to-read guide, which uses real-world examples like teen magazine quizzes, bowling games, test scores, and ramen noodle prices. Examples, exercises, and answer keys help you follow along and check your work. An appendix showing how to perform statistics calculations in Microsoft Excel makes it easy to put Rui's lessons into practice. > Buy Now

This text presents a simple overview of descriptive and inferential statistics written in plain English. Unnecessary math, intricate computations, and subtle technical distinctions are avoided without sacrificing accuracy or realism. With its wealth of pedagogical features, this textbook is ideal for helping students gain the confidence they need to use statistics in their everyday lives. Its pedagogical features include: chapter outlines, references to relevant internet sites and self-diagnostic tests. > Buy Now

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 in recent research, learn about the misconceptions that allow mistakes to happen, and begin your quest to reform the way you and your peers do statistics. > Buy Now

The text clearly explains the basic concepts and procedures of descriptive and inferential statistical analysis. It features an emphasis on expressions involving sums of squares and degrees of freedom as well as a strong stress on the importance of variability. This book covers such topics as the standard deviation, variance interpretation of the correlation coefficient, hypothesis tests, degrees of freedom, p-values, and estimates of effect size. > Buy Now

This inexpensive paperback provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. > Buy Now

Wouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings statistics to life through puzzles, stories, quizzes, visual aids, and real-world examples. Whether you're a student, a professional, or just curious about statistical analysis, Head First's brain-friendly formula helps you get a firm grasp of the subject so you can understand key points and actually use them. > Buy Now

End the confusion. The message of this book is simple: you don't have to be confused by statistics. This easy-to-understand text demystifies statistics for non-math majors. It provides a logical, step-by-step introduction to basic statistics, stripping away confusing material and clarifying key concepts without long, theoretical discussion. Key concepts are reinforced by hundreds of solved problems, which clearly show how statistics can be applied in the real world. > Buy Now

This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as t tests, regression, repeated measures ANOVA, and factor analysis. > Buy Now

What is a p-value Anyway? This book offers a fun introduction to the fundamental principles of statistics, presenting essential concepts in thirty-four brief, enjoyable stories. Drawing on his experience as a medical researcher, the author blends insightful explanations and humor, with minimal math, to help readers understand and interpret the statistics they read every day. The book covers descriptive statistics, data distributions, variation of study results, confidence intervals, hypothesis testing, regression and decision making, as well as common statistical errors and what they teach us. > Buy Now

Master the basics fast. This book features complete coverage of core concepts, easy topic-by-topic organization, and online access to hundreds of practice problems. The format is simple and there are many examples to help translate abstract ideas into concrete applications. Bottom line: an effective study guide and a concise, comprehensive reference for statistics. > Buy Now

The message of Statistics for the Utterly Confused is simple: you don't have to be confused anymore. Updated and expanded to give you the latest changes in the field, this up-to-the-minute edition includes many new examples of Excel output, the most widely used of all statistics programs; a new chapter on Analysis of Variance (ANOVA); and 200 additions to the 700 self-testing questions and answers. The expert author's Website also gives you tons of fresh examples, practice problems, and strategies--so you can go from utterly confused to totally prepared in no time! > Buy Now

This text introduces students to the fundamentals of basic statistics in an informative, personable, and unintimidating way. The author expertly guides students through various statistical procedures, beginning with basic descriptive statistics and correlation and graphical representation of data and ending with inferential techniques including analysis of variance. > Buy Now

This fast, effective tutorial helps you master core statistical concepts - numerical measures, probability, and sampling to principles of testing, univariate inferential tests, and bivariate relationships - and get the best possible grade. This is a great introductory or refresher text. Once you have mastered the contents of this brief book, try the traditional texts - they'll make more sense. > Buy Now

This may be the most readable introductory statistics text available. Questions at the beginning of each chapter stimulate interest in chapter topics (e.g., how often do lie detectors lie). Guided exercises clearly show steps for applying statistical methods to solve real-world problems. Definition boxes highlight important terms. The use of graphing calculators, Excel, Minitab, and SPSS is covered though not required. > Buy Now

This text features an effective, 5-step plan to guide your preparation program and help you build the skills, knowledge, and test-taking confidence you need to succeed. This fully revised edition covers the latest course syllabus and provides model tests that reflect the latest version of the exam. Includes two complete practice exams. > Buy Now

Statistics Explained clearly outlines the major statistical tests used by undergraduates in the social sciences. It provides easy-to-understand explanations of how and why they are used and makes statistics much less mysterious. This book is a simple introduction to the jargon, shows when to be skeptical about results, and guides you in using computers for statistical analysis. > Buy Now

This book was written without assuming that the reader has any prior knowledge of statistics. Instead, it successfully guides the reader all the way from the basic foundations of statistical reasoning, to the most advanced, cutting-edge methods. It includes hundreds of examples and thousands of illustrations created with leading edge data visualization and data mining software. This unusually comprehensive book includes also chapters on industrial statistics, on the emerging areas of predictive analytics, data mining and text mining, and a 200-page, illustrated Glossary of statistical terms. A coupon in the book entitles the reader to receive a CD with the electronic, hypertext version, which includes color graphics and animations. > Buy Now

The Tao of Statistics: A Path to Understanding (With No Math) provides a new approach to statistics in plain English. Unlike other introductions to statistics, this text explains what statistics mean and how they are used, rather than how to calculate them. The book walks readers through basic concepts, as well as some of the most complex statistical models in use. Professionals and college students who want to be informed about statistics but do not want to spend a lot of time learning to how compute them should not be without this volume. > Buy Now

For those who need to know statistics but shy away from math, this book teaches how to extract truth and draw valid conclusions from numerical data, using logic and the philosophy of statistics rather than complex formulae. Lucid discussion of averages and scatter, investigation design, more. Many good examples and problems with solutions makes this an excellent self study text. > Buy Now

Need to know how to build and test models based on data? Intermediate Statistics For Dummies gives you the knowledge to estimate, investigate, and correlate variables based on the information at hand. The techniques you’ll learn in this book are the same techniques used by professionals in medical and scientific fields. Picking up right where Statistics For Dummies left off, this straightforward, easy-to-follow book guides you beyond Central Limit Theorem and hypothesis tests and immerses you in flavors of regression, ANOVA, and nonparametric procedures. > Buy Now

Need to learn statistics as part of your job, or want some help passing a statistics course? Statistics in a Nutshell is a clear, concise introduction that's perfect for anyone with no previous background in the subject. This book provides a solid understanding of statistics without the numbing complexity of most college texts. Each chapter presents easy-to-follow descriptions illustrated by graphics, formulas, and plenty of solved examples. You'll learn to apply statistical reasoning and statistical techniques, from basic probability to multivariate analysis. > Buy Now

Statistics and baseball. This book covers introductory statistics with a clever twist. It focuses on the most statistical of sports - the game of baseball. The book illustrates basic methods of data analysis and probability models by means of hitting and pitching statistics collected on real players and real teams. The idea of the book is to describe statistical thinking in a context that will be familiar and interesting to the reader. If you are a fan of baseball and a student of statistics, you will enjoy this book. > Buy Now

Master statistics with this high-performance study guide. It will help you cut study time, hone problem-solving skills, and achieve your personal best on exams. You get a complete overview of the subject. Plus, you get plenty of practice exercises to test your skill. Compatible with any classroom text. If you want top grades and a thorough understanding of statistics, this powerful study tool is the best tutor you can have. > Buy Now

This text contains many essential features to help improve test scores, including: full-length practice tests and a diagnostic test to target areas for score improvement, detailed explanations, and tips and strategies for scoring higher. This text helps students get comfortable with the test format, prepare for pitfalls, and arm themselves with sensible study strategies. > Buy Now

This book makes it easy to crunch numbers and interpret statistics with Excel, even for the math-challenged. If "permutation" sounds like something you shouldn't say around your grandmother and you read "margin of error" as "margin of terror," take heart! This easy-to-follow guide explains statistics in plain English and shows you how to use Excel charts, functions, samples, and correlations to make sense of it all. Get the scoop on Excel's statistical tools and what they can do for you. > Buy Now