The authors take time to explain statistical procedures so that you can go beyond memorizing formulas and gain a conceptual understanding of statistics. The authors also take care to show you how having an understanding of statistical procedures will help you comprehend published findings and will lead you to become a savvy consumer of information. Known for its exceptional accuracy and examples, this text also has a complete supplements package to support your learning.

    The authors' experiential learning approach makes it easy to put these skills into practice in any health care setting. This book helps students develop the critical thinking ability needed to apply skills on the job—from organizing patient care to motivating staff to managing conflict.

    The strengths and weaknesses of each research method are examined to help students choose an appropriate methodology, and the wider philosophical issues and ethical controversies that affect business research are discussed to help students make informed research decisions.The book examines in depth the distinction between quantitative and qualitative research techniques and how and when they should be used, and marries theoretical issues with topical case examples from a number of work-related fields (such as management, strategy, and marketing). It has also been comprehensively updated to reflect the growing use of the internet as a source of data and medium for conducting research, and places new emphasis on the student experience of research by relating the activities of real student researchers back to the research process.New to this Edition - Brand new chapter on reviewing the literature that introduces the steps involved in undertaking a critical review to help students get the most out of their reading and build a strong platform for further research. - Themed boxes that focus on examples of real, published research, key concepts, and practical tips and skills to help students grasp core principles sooner and apply their learning to new research situations. - Expanded online research guide that takes students step-by-step through their research project and provides essential research advice, checklists, templates, and case exercises to help students become more engaged and organized researchers.

    Fundamentals of Biostatistics with CD-Rom.

    The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time the most important breakthroughs in each of these fields and presents them in a coherent fashion, highlighting the strong interconnections between work in different areas.Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

    He investigates how stories influence perception and construct truths, the cultural roots of the notion of evil and reveals the need for mythology through a telling of various Indian and Western myths. In doing so, he shows how myths reflect the culture they emerge from while simultaneously reinforcing the source.Culture is a groundbreaking work that contextualizes mythology and proposes that myths are alive, dynamic, shaped by perception and the times one lives in.

    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

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    An in-depth study of the visceral slacker classic from 1987, an album that influenced enormously the nascent alternative scene.

    Feisty and funny as always, she turns a sharp eye on the world around her, bidding an ex-hausted farewell to the twentieth century and singing an "electronic breakdown blues" for the twenty-first. She memorializes movingly those who, like los desaparecidos and the victims of 9/11, disappear suddenly and without a trace. She writes an elegy for her mother, a woman who struggled with a deadening round of housework, washing on Monday, ironing on Tuesday, and so on, "until stroke broke / her open." She remembers the scraps of lace, the touch of velvet, that were part of her maternal inheritance and first aroused her sensual curiosity. Here are paeans to the pleasures of the natural world (rosy ripe tomatoes, a mating dance of hawks) as the poet confronts her own mortality in the cycle of seasons and the eternity of the cosmos: "I am hurrying, I am running hard / toward I don't know what, / but I mean to arrive before dark." Other poems-about her grandmother's passage from Russia to the New World, or the interrupting of a Passover seder to watch a comet pass-expand on Piercy's appreciation of Jewish life that won her so much acclaim in The Art of Blessing the Day. Colors Passing Through Us is a moving celebration of the endurance of love and of the phenomenon of life itself-a book to treasure.

    Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications.

    The Black Book doesn't include any vocabulary lists, and doesn't advise its readers to rely on math formulas.Instead, The SAT Prep Black Book teaches readers to approach the test the same way that Barrett trains his students. Barrett sees the SAT as a standardized instrument with a specific objective, and reasons that the test must observe certain design guidelines that follow from that unique objective. So this book explains to students how different types of SAT questions are actually written, from the perspective of the College Board: for each question type, Barrett explains the "big secret" of that question type, the rules and patterns that all questions of that type will follow, and, most importantly for readers, exactly how to attack the question type based on the inherent weaknesses of its particular rules and patterns.The book includes over 250 example solutions that demonstrate Barrett's approach against real SAT questions written by the College Board. In order to follow along, students will want a copy of the College Board's book "The Official SAT Study Guide," the source of the questions whose solutions appear in the Black Book.The overall lesson of the SAT Prep Black Book is that the SAT tests very basic concepts in very strange ways, so students should learn the unique habits of the test rather than cramming definitions and formulas. At 330 pages, the book is thorough and detailed in its analysis of the SAT.

    Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Salda�a′s recent qualitative work. The book′s most celebrated chapter, Drawing and Verifying Conclusions, is retained and revised, and the chapter on report writing has been greatly expanded, and is now called Writing About Qualitative Research. Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

    Students need to know how writers’ and speakers’ choices are shaped by elements of the rhetorical situation, including audience, occasion, and purpose. In Teaching Arguments: Rhetorical Comprehension, Critique, and Response , Jennifer Fletcher provides teachers with engaging classroom activities, writing prompts, graphic organizers, and student samples to help students at all levels read, write, listen, speak, and think rhetorically. Fletcher believes that, with appropriate scaffolding and encouragement, all students can learn a rhetorical approach to argument and gain access to rigorous academic content. Teaching Arguments opens the door and helps them pay closer attention to the acts of meaning around them, to notice persuasive strategies that might not be apparent at first glance. When we analyze and develop arguments, we have to consider more than just the printed words on the page. We have to evaluate multiple perspectives; the tension between belief and doubt; the interplay of reason, character, and emotion; the dynamics of occasion, audience, and purpose; and how our own identities shape what we read and write. Rhetoric teaches us how to do these things. Teaching Arguments will help students learn to move beyond a superficial response to texts so they can analyze and craft sophisticated, persuasive arguments—a major cornerstone for being not just college-and career-ready but ready for the challenges of the world.

    Written specifically for students with no previous experience of research and research methodology, the writing style is simple and clear and the author presents this complex subject in a straightforward way that empowers readers to tackle research with confidence. The book has been revised and updated to include extended coverage of qualitative research methods in addition to existing comprehensive coverage of quantitative methods. There are also brand new learning features such as reflective questions throughout the text to help students consolidate their knowledge.