Former co-teacher and national presenter Anne Beninghof shares stories, and real-life co-taught lesson examples that emphasize creative yet time-efficient instructional strategies that lend themselves beautifully to the co-taught classroom. Teachers and instructional leaders at all levels and in a wide variety of content areas will find this book replete with valuable co-teaching guidance so that success is guaranteed.Offers tips for effective teaching strategies for every type of team teaching situation imaginable Includes guidelines for successful team-teaching with specialists in technology; literacy; occupational/physical therapy; special education; speech-language therapy; ELL; gifted The author is an internationally recognized consultant and trainer This user-friendly, comprehensive book is filled with concrete ideas teachers can implement immediately in the classroom to boost student learning and engagement.

    It offers unique preparation for the NCLEX Examination and effectively equips you to practice in today's fast-paced healthcare environment.The only workbook available that provides in-depth practice with prioritization, delegation, and assignment questions similar to those you'll see on the NCLEX Examination, including questions in alternate item formatsUnique three-part organization that (1) equips you with foundational skills to make sound decisions, then helps you apply those skills (2) in straightforward scenarios and (3) then in complex health scenariosIn-depth Answer Key at the back of the book that provides not only the correct answer but also a detailed rationale and an indication of the focus of the question, whether prioritization, delegation, supervision, or patient assignment.Expanded content focus to include psychiatric/mental health, OB/maternity, and pediatrics along with med-surg areasNew chapters on infection control and obstetrics and maternityGreater emphasis on questions involving core body systems and related health problems, such as diabetes and cancer, to best prepare you for the conditions you are most likely to encounter on the NCLEX Examination and in clinical practiceFour new unfolding cases addressing long-term care, pediatrics, psychiatric/mental health nursing, and OB/maternityAdditional emphasis on medication safety equips you to take appropriate actions to prevent or remediate medication errorsMultiple-select questions revised to include at least 5 response choices each, keeping you up to date with the full range of NCLEX Examination item formats

    Bayesian statistics is taught in most first-year statistics classes across the nation, but there is one major problem that many students (and others who are interested in the theorem) face. The theorem is not intuitive for most people, and understanding how it works can be a challenge, especially because it is often taught without visual aids. In this guide, we unpack the various components of the theorem and provide a basic overview of how it works - and with illustrations to help. Three scenarios - the flu, breathalyzer tests, and peacekeeping - are used throughout the booklet to teach how problems involving Bayes Theorem can be approached and solved. Over 60 hand-drawn visuals are included throughout to help you work through each problem as you learn by example. The illustrations are simple, hand-drawn, and in black and white. For those interested, we have also included sections typically not found in other beginner guides to Bayes Rule. These include: A short tutorial on how to understand problem scenarios and find P(B), P(A), and P(B|A). For many people, knowing how to approach scenarios and break them apart can be daunting. In this booklet, we provide a quick step-by-step reference on how to confidently understand scenarios.A few examples of how to think like a Bayesian in everyday life. Bayes Rule might seem somewhat abstract, but it can be applied to many areas of life and help you make better decisions. It is a great tool that can help you with critical thinking, problem-solving, and dealing with the gray areas of life. A concise history of Bayes Rule. Bayes Theorem has a fascinating 200+ year history, and we have summed it up for you in this booklet. From its discovery in the 1700’s to its being used to break the German’s Enigma Code during World War 2, its tale is quite phenomenal.Fascinating real-life stories on how Bayes formula is used in everyday life.From search and rescue to spam filtering and driverless cars, Bayes is used in many areas of modern day life. We have summed up 3 examples for you and provided an example of how Bayes could be used.An expanded definitions, notations, and proof section.We have included an expanded definitions and notations sections at the end of the booklet. In this section we define core terms more concretely, and also cover additional terms you might be confused about. A recommended readings section.From The Theory That Would Not Die to a few other books, there are a number of recommendations we have for further reading. Take a look! If you are a visual learner and like to learn by example, this intuitive booklet might be a good fit for you. Bayesian statistics is an incredibly fascinating topic and likely touches your life every single day. It is a very important tool that is used in data analysis throughout a wide-range of industries - so take an easy dive into the theorem for yourself with a visual approach!If you are looking for a short beginners guide packed with visual examples, this booklet is for you.

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

    More than painting an appealing landscape, it's about making your viewer feel the wind, experience the dance of shadows and sunlight, and admire the wondrous intermingling of colors that attracted you to your subject in the first place.In this gorgeously illustrated book, Bob Rohm shows you how to see the world from a painterly perspective and translate it into expressive, poetic paintings that elicit an emotional response from your viewer.Clearly illustrates how to choreograph color, value, composition, texture and other fundamental elements to achieve those elusive qualities of mood and emotionFeatures 9 step-by-step demonstrations (in oil, pastel and acrylic) on capturing a vivid sense of time and placeCovers brushstrokes, painting with a palette knife, edge control, shadows and other advanced art techniquesThis book focuses primarily on landscape painting but offers valuable lessons for approaching any subject in a personal and engaging way.

    In High Heat he takes us on a quest to separate verifiable fact from baseball lore, traveling from ballparks across the country to the Baseball Hall of Fame, piecing together the fascinating history of the fastball from its early development to the present form while exploring its remarkable impact on the game and the pitchers who have been blessed (or cursed) with its gift. From legends such as Nolan Ryan, Walter Johnson, Steve Dalkowski, and Satchel Paige to present-day standard bearers like Tim Lincecum, Billy Wagner, and Randy Johnson, Wendel examines the factors that make throwing heat an elusive ability that few have and even fewer can harness. Along the way he investigates the effectiveness of early speed-testing techniques (including Bob Feller’s infamous motorcycle test), explains why today’s radar gun readings still leave plenty of room for debate, and even visits an aerodynamic testing lab outside of Birmingham, Alabama, in order to understand the mechanics that make throwing heat possible in the first place. At its heart, High Heat is a reflection on our infatuation with the fastball—the expectation it carries, the raw ability it puts on display, and, most of all, the feats and trials of those who have attempted to master it. As Wendel puts it, “The tale of high heat can lead in several different directions at once, and the real story has more to do with triumph and tragedy that with the simple act of throwing a baseball.”

    Through the years, the renowned paleontologist published numerous essays on the sport; these have now been collected in a volume alive with the candor and insight that characterized all of Gould's writing. Here are his thoughts on the complexities of childhood streetball and the joys of opening day; tributes to Mickey Mantle, Babe Ruth, and lesser-knowns such as deaf-mute centerfielder "Dummy" Hoy; and a frank admission of the contradictions inherent in being a lifelong Yankees fan with Red Sox season tickets. Gould also deftly applies the tools of evolutionary theory to the demise of the .400 hitter, the Abner Doubleday creation myth, and the improbability of Joe DiMaggio's 56-game hitting streak.This book is a delight, an essential addition to Gould's remarkable legacy, and a fitting tribute to his love for the game.

    But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool.In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling.Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.

    Brock's novel picks up Taylor's story in 1911 when Taylor is unsure what to do with his life after his pitching arm gives way to younger talent.

    That figure has since skyrocketed to 62 million workers worldwide. The critical role of human resource management in sustaining this increase in international business activity is a central theme of the exciting new edition of INTERNATIONAL HUMAN RESOURCE MANAGEMENT: MANAGING PEOPLE IN A MULTINATIONAL CONTEXT. Offering an even stronger global emphasis, the fifth edition draws from the expertise of its expanded author team, which now includes tri-continental representation from Asia-Pacific, Europe, and North America. A true international work, the text strikes a balance that is meaningful and appropriate to the varying cultures represented by instructors and readers as it accurately captures the compelling realities facing HRM professionals practicing in multinational enterprises today. With expanded coverage of the international business context in which IHRM operates, this edition covers such rapidly developing topic areas as new strategic forms as they impact HRM capabilities and processes, effectiveness in repatriation, transpatriation practices and strategic uses of global careers, ROI of expatriate assignments, the complexities of standardizing and customizing HRM practices and activities across local environments, specific IHRM challenges of offshoring in India and China, multinational family-owned firms, safety and security issues in an age of global risk and uncertainty, and much more. Packed with examples, practical cases, and cutting-edge insight, INTERNATIONAL HUMAN RESOURCE MANAGEMENT, 5e equips students with a thorough understanding of the key role of HRM in today's increasingly global and complex marketplace.

    This work is designed to help students understand the field of banking from the perspective of both a bank customer as well as a bank manager. It provides a description of the banking industry.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    It's packed with everything you need to do your best on the test--and move toward your graduate or business school degree.Only ETS can show you exactly what to expect on the test, tell you precisely how the test is scored, and give you hundreds of authentic test questions for practice! That makes this guide your most reliable and accurate source for everything you need to know about the GRE revised General Test.No other guide to the GRE General Test gives you all this: - Four complete, real tests--two in the book and two on CD-ROM - Hundreds of authentic test questions--so you can study with the real thing - In-depth descriptions of the Verbal Reasoning and Quantitative Reasoning measures plus valuable tips for answering each question type- Quantitative Reasoning problem-solving steps and strategies to help you get your best score - Detailed overview of the two types of Analytical Writing essay tasks including scored sample responses and actual raters' comments Everything you need to know about the test, straight from the test makers!

    This text is highly regarded because of its engaging and understandable introduction to statistics. The author's commitment to providing student-friendly guidance through the material and giving students opportunities to apply their newly learned skills in a real-world context has made Elementary Statistics the #1 best-seller in the market.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.