Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.New features in the second edition include:an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution; new chapters on basic research concepts including sampling, definitions of different types of variables, and basic research designs and one on nonparametric statistics; more graphs and more precise descriptions of each statistic; and a discussion of confidence intervals.This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences.Materials formerly available with this book on CD-ROM are now available for download from our website www.psypress.com. Go to the book's page and look for the 'Download' link in the right-hand column.

    It seems hard to believe today, but there was a time when Airbnb was the best-kept secret of travel hackers and couch surfers, Pinterest was a niche web site frequented only by bakers and crafters, LinkedIn was an exclusive network for C-suite executives and top-level recruiters, Facebook was MySpace's sorry step-brother, and Uber was a scrappy upstart that didn't stand a chance against the Goliath that was New York City Yellow Cabs.So how did these companies grow from these humble beginnings into the powerhouses they are today? Contrary to popular belief, they didn't explode to massive worldwide popularity simply by building a great product then crossing their fingers and hoping it would catch on. There was a studied, carefully implemented methodology behind these companies' extraordinary rise. That methodology is called Growth Hacking, and it's practitioners include not just today's hottest start-ups, but also companies like IBM, Walmart, and Microsoft as well as the millions of entrepreneurs, marketers, managers and executives who make up the community of GrowthHackers.com.Think of the Growth Hacking methodology as doing for market-share growth what Lean Start-Up did for product development, and Scrum did for productivity. It involves cross-functional teams and rapid-tempo testing and iteration that focuses customers attaining them, retaining them, engaging them, and motivating them to come back and buy more. An accessible and practical toolkit that teams and companies in all industries can use to increase their customer base and market share, this book walks readers through the process of creating and executing their own custom-made growth hacking strategy. It is a must read for any marketer, entrepreneur, innovator or manger looking to replace wasteful big bets and "spaghetti-on-the-wall" approaches with more consistent, replicable, cost-effective, and data-driven results.

    This book is useful for designers, project managers, programmers, and other information architecture practitioners.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    At under 200 pages it's quick reading too. Makes a great airplane book.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    During that week, you will learn almost everything modern machine learning has to offer. The author and other practitioners have spent years learning these concepts.Companion wiki — the book has a continuously updated wiki that extends some book chapters with additional information: Q&A, code snippets, further reading, tools, and other relevant resources.Flexible price and formats — choose from a variety of formats and price options: Kindle, hardcover, paperback, EPUB, PDF. If you buy an EPUB or a PDF, you decide the price you pay!Read first, buy later — download book chapters for free, read them and share with your friends and colleagues. Only if you liked the book or found it useful in your work, study or business, then buy it.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    You’ll learn how to write web copy that addresses your readers’ needs and supports your business goals.Learn from real-world examples and interviews with people who put these ideas into action every day: Kristina Halvorson of Brain Traffic, Tiffani Jones Brown of Pinterest, Gabrielle Blair of Design Mom, Mandy Brown of Editorially, Randy J. Hunt of Etsy, Sarah Richards of GOV.UK, and more.Topics:* Write marketing copy, interface flows, blog posts, legal policies, and emails* Develop behind-the-scenes documents like mission statements, survey questions, and project briefs* Find your voice and adapt your tone for different situations* Build trust and foster relationships with readers* Make a simple style guide and collaborate with your team

    True, some designers can perceive what their customers need or want, but in the era of artificial intelligence, augmented cognition, and "thinking" designs, intuition isn't enough.With this practical guide, you'll learn how different regions of the human brain create multifaceted and multi-model experiences. Once you grasp this concept, you'll not only learn how to collect the right data that customers need to understand an experience, but also how to put that data to the best use.Understand the inner workings of customers' minds to deliver competitive augmented reality, AI, and thinking productsLearn key brain systems involved in generating an experience through a product or serviceCollect the right data to understand the entirety of an experience and put that data to the best useLearn concrete ways to improve your products or services based on psychology and neuroscienceBridge the gaps between cognitive science, UX, behavior change, AI, and augmented reality

    People unconsciously perform ultraordinary actions every day, from throwing a jacket over a chair back to claim the seat, or placing something in the teeth when all hands are full. These "thoughtless acts" reveal the subtle but crucial ways people behave in a world not always perfectly tailored to their needs. Thoughtless Acts? is a collection of dozens of (often humorous) snapshots capturing such fleeting adaptations and minor exploitations. This method of observation demonstrates the kind of common-sense approach that can inspire designers and anyone involved in creative endeavors. Thoughtless Acts? is a privileged peek at how IDEO creates the people-friendly products, services, and spaces for which they are so widely recognized.

    In Design-Driven Innovation: How to Compete by Radically Innovating the Meaning of Products, Roberto Verganti introduces a third strategy, a radical shift in perspective that introduces a bold new way of competing. Design-driven innovations do not come from the market; they create new markets. They don't push new technologies; they push new meanings.It's about having a vision, and taking that vision to your customers. Think of game-changers like Nintendo's Wii or Apple's iPod. They overturned our understanding of what a video game means and how we listen to music. Customers had not asked for these new meanings, but once they experienced them, it was love at first sight.But where does the vision come from? With fascinating examples from leading European and American companies, Verganti shows that for truly breakthrough products and services, we must look beyond customers and users to those he calls "interpreters" - the experts who deeply understand and shape the markets they work in.Design-Driven Innovation offers a provocative new view of innovation thinking and practice.