Salient Features: 1.Very short answer type questions (including true-false type questions and fill in the blanks type questions). 2.Short answer type questions. 3. Long answer type questions (or Essay type questions). 4. Multiple choice questions (MCQs) based on theory. 5. Questions based on high order thinking skills (HOTS). 6. Multiple choice questions (MCQs) based on practical skills in science.. 7. NCERT book questions and exercises (with answers). 8. Value based questions (with answers).

    She knew instantly that her decision to work in general practice was the ‘biggest and worst mistake of her life’. Fortunately, however, this did not deter her from continuing in general practice, and this fascinating memoir (spanning half a century) is testament to her resilience and professionalism, as well as her pragmatic and charismatic personality. She shares real stories about real people in this intriguing book. Some stories are truly heart-breaking and will have you reaching for the tissues (such as the times when she has lost patients, and encountered and supported abused children and rape victims). But it isn’t all serious. There are lots of light-hearted and heart-warming moments too, such as the stories about Jessie-dog – her bodyguard when she made home visits, and the time when she helped a large (and desperately in need) family to get rehoused, and her time as a country GP. She also recalls with honesty and candidness, the prejudice and unimaginable pressure she had to contend with, as a young female GP in the 1960s. As well as a plethora of fascinating stories, experiences and case studies, this book also gives us, as 21st Century readers, a glimpse into the rapid changes in general practice and the NHS in general. Whether you’re in general practice, or you’re a medical professional, or you have a penchant for all kinds of autobiographies/memoirs, you will find this a thought-provoking and captivating book that’s impossible to put down. Take a peek at the ‘Look Inside’ feature now and be prepared to be instantly intrigued.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Since that time he has answered thousands of questions about birds, both at his store and while walking down the aisles of the supermarket. The questions have ranged from inquiries about individual species ("Are flamingos really real?") to what and when to feed birds ("Should I bring in my feeders for the summer?") to the down-and-dirty specifics of backyard birding ("Why are the birds dropping poop in my pool?"). Answering the questions has been easy; keeping a straight face has been hard.Why Don't Woodpeckers Get Headaches? is the solution for the beginning birder who already has a book that explains the slight variation between Common Ground-Doves and Ruddy Ground-Doves but who is really much more interested in why birds sing at 4:30 A.M. instead of 7:00 A.M., or whether it's okay to feed bread to birds, or how birds rediscover your feeders so quickly when you've just filled them after a long vacation. Or, for that matter, whether flamingos are really real.

    The text is non-threatening and presents concepts clearly and succinctly with a conversational writing style. All statistical concepts are illustrated with solved applied examples immediately upon introduction. Self reviews and exercises for each section, and review sections for groups of chapters also support the student learning steps. Modern computing applications (Excel, Minitab, and MegaStat) are introduced, but the text maintains a focus on presenting statistics concepts as applied in business as opposed to technology or programming methods. The thirteenth edition continues as a students' text with increased emphasis on interpretation of data and results.

    Climategate is intended for anyone who has ever expressed skepticism about the clamorous environmentalist claims that the Earth is in peril because of mankind's appetite for carbon-based fuels.By tracing the origins of the current climate scare, Sussman guides the reader from the diabolical minds of Marx and Engles in the 1800s, to the global governance machinations of the United Nations today. Climategate is a call to action, warning Americans that their future is being undermined by a phony pseudo-science aimed at altering and dominating every aspect of life in the United States and the world.

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    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.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Designed for two-semester, beginning graduate courses in Mathematical Statistics, and for senior undergraduate Mathematics, Statistics, and Actuarial Science majors, this text retains its ongoing features and continues to provide students with background material.

    After a brief tale of her own introduction to the paranormal, the author shares funny, poignant, and insightful words straight from the spirit people themselves. Together, the living and the dead seek forgiveness, solve family mysteries, find closure, settle scores, and come together for birthdays, anniversaries, and graduations. Quoting directly from her readings and séances, Priscilla reports the spirit perspective on mental illness, suicide, religion, and even the afterlife itself. For those readers interested in developing their own spirit communication skills, the last section of the book offers meditations and exercises used by the author herself, both personally and with her students. "It Will All Make Sense When You’re Dead" is chock-full of simple and entertaining wisdom, showing us how to live for today, with light hearts and kindness.

    Unfortunately, people tend to be terrible forecasters. As Wharton professor Philip Tetlock showed in a landmark 2005 study, even experts’ predictions are only slightly better than chance. However, an important and underreported conclusion of that study was that some experts do have real foresight, and Tetlock has spent the past decade trying to figure out why. What makes some people so good? And can this talent be taught?   In Superforecasting, Tetlock and coauthor Dan Gardner offer a masterwork on prediction, drawing on decades of research and the results of a massive, government-funded forecasting tournament. The Good Judgment Project involves tens of thousands of ordinary people—including a Brooklyn filmmaker, a retired pipe installer, and a former ballroom dancer—who set out to forecast global events. Some of the volunteers have turned out to be astonishingly good. They’ve beaten other benchmarks, competitors, and prediction markets. They’ve even beaten the collective judgment of intelligence analysts with access to classified information. They are "superforecasters."   In this groundbreaking and accessible book, Tetlock and Gardner show us how we can learn from this elite group. Weaving together stories of forecasting successes (the raid on Osama bin Laden’s compound) and failures (the Bay of Pigs) and interviews with a range of high-level decision makers, from David Petraeus to Robert Rubin, they show that good forecasting doesn’t require powerful computers or arcane methods. It involves gathering evidence from a variety of sources, thinking probabilistically, working in teams, keeping score, and being willing to admit error and change course. Superforecasting offers the first demonstrably effective way to improve our ability to predict the future—whether in business, finance, politics, international affairs, or daily life—and is destined to become a modern classic.

    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.

    While such visualizations can better inform us, they can also deceive by displaying incomplete or inaccurate data, suggesting misleading patterns—or simply misinform us by being poorly designed, such as the confusing “eye of the storm” maps shown on TV every hurricane season.Many of us are ill equipped to interpret the visuals that politicians, journalists, advertisers, and even employers present each day, enabling bad actors to easily manipulate visuals to promote their own agendas. Public conversations are increasingly driven by numbers, and to make sense of them we must be able to decode and use visual information. By examining contemporary examples ranging from election-result infographics to global GDP maps and box-office record charts, How Charts Lie teaches us how to do just that.

    The book's hallmark values-accuracy, currency, and passion for teaching and learning-have made Campbell/Reece the most successful book for readers for seven consecutive editions. More than 6 million readers have benefited from "BIOLOGY's"clear explanations, carefully crafted artwork, and student-friendly narrative style.Introduction: Themes in the Study of Life, The Chemical Context of Life, Water and the Fitness of the Environment, Carbon and the Molecular Diversity of Life, The Structure and Function of Large Biological Molecules, A Tour of the Cell, Membrane Structure and Function, An Introduction to Metabolism, Cellular Respiration: Harvesting Chemical Energy, Photosynthesis, Cell Communication, The Cell Cycle, Meiosis and Sexual Life Cycles, Mendel and the Gene Idea, The Chromosomal Basis of Inheritance, The Molecular Basis of Inheritance, From Gene to Protein, Control of Gene Expression, Viruses, Biotechnology, Genomes and Their Evolution, Descent with Modification: A Darwinian View of Life, The Evolution of Populations, The Origin of Species, The History of Life on Earth, Phylogeny and the Tree of Life, Bacteria and Archaea, Protists, Plant Diversity I: How Plants Colonized Land, Plant Diversity II: The Evolution of Seed Plants, Fungi, An Introduction to Animal Diversity, Invertebrates, Vertebrates, Plant Structure, Growth, and Development, Transport in Vascular Plants, Soil and Plant Nutrition, Angiosperm Reproduction and Biotechnology, Plant Responses to Internal and External Signals, Basic Principles of Animal Form and Function, Animal Nutrition, Circulation and Gas Exchange, The Immune System, Osmoregulation and Excretion, Hormones and the Endocrine System, Animal Reproduction, Animal Development, Neurons, Synapses, and Signaling, Nervous Systems, Sensory and Motor Mechanisms, Animal Behavior, An Introduction to Ecology and the Biosphere, Population Ecology, Community Ecology, Ecosystems, Conservation Biology and Restoration Ecology.For readers interested in learning the basics of Biology.