Worked examples and exercises support the text. An ELBS/LPBB edition is available.

    The truth is that modern life is extremely stressful; there are many demands on your time and never enough hours in the day. However, being at the end of your tether, worn out and overwhelmed is not the same as having a mental disorder. In fact mental health covers a wide range of illnesses including those which most people are aware of, such as Schizophrenia (which is classed as a psychotic disorder). What you may not be aware of is the number of people who have personality disorders and the reasons for these disorders. Most people are not diagnosed until into their twenties and symptoms will naturally reduce in their forties or fifties. Knowing the difference between the various mental illnesses is essential to ensure you know when a friend or loved one needs professional help as opposed to just your care and attention. This book will guide you through the differences between personality disorders, mental disorders and psychotic disorders. It will help you to understand the different elements of a personality and how you can test your friends to find out which personality type they are. It will even enlighten you as to the basic traits of each of the sixteen personality types, according to the Myers Briggs Personality test. Reading this book will enlighten you as to the names and details of the nine main personality disorders, how to recognize the symptoms of each of these disorders and the best way to treat them. It is important to use this book as a guide to understanding these illnesses and to learn the best way to help and support anyone you know who is suffering from a personality disorder. However, a diagnosis must always be confirmed by a medical professional who will ensure treatment is available. Many people who have a mental health issue will not recognise the issue in themselves; this book will ensure you understand each condition and can help your loved one to get the appropriate treatment. Everyone deserves the chance to have a happy, fulfilling and balanced life. Read this and help those around you have that chance!

    Python is a beautiful computer language. It is simple, and it is intuitive. Python is used by a sorts of people – data scientists use it for much of their number crunching and analytics; security testers use it for testing out security and IT attacks; it is used to develop high-quality web applications and many of the large applications that you use on the internet are also written in Python, including YouTube, DropBox, and Instagram. Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble.Are you interested in learning Python? Then settle in and learn the basics in just 7 days - enough for you to be comfortable in moving on to the next level without any trouble. In this book you'll learn: Setting Up Your Environment Let’s Get Programming Variables and Programs in Files Loops, Loops and More Loops Functions Dictionaries, Lists, and Tuples The “for” Loop Classes Modules File Input/Output Error Handling and much more! Now it's time for you to start your journey into Python programming! Click on the Buy Now button above and get started today!

    Readers are provided once again with an instructive mix of mathematics, physics, statistics, and information theory.All the essential topics in information theory are covered in detail, including entropy, data compression, channel capacity, rate distortion, network information theory, and hypothesis testing. The authors provide readers with a solid understanding of the underlying theory and applications. Problem sets and a telegraphic summary at the end of each chapter further assist readers. The historical notes that follow each chapter recap the main points.The Second Edition features: * Chapters reorganized to improve teaching * 200 new problems * New material on source coding, portfolio theory, and feedback capacity * Updated referencesNow current and enhanced, the Second Edition of Elements of Information Theory remains the ideal textbook for upper-level undergraduate and graduate courses in electrical engineering, statistics, and telecommunications.

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    New co-authors--Irl Bivens and Stephen Davis--from Davidson College; both distinguished educators and writers.* More emphasis on graphing calculators in exercises and examples, including CAS capabilities of graphing calculators.* More problems using tabular data and more emphasis on mathematical modeling.

    This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.

    We are bombarded with more information each day than our brains can process—especially in election season. It's raining bad data, half-truths, and even outright lies. New York Times bestselling author Daniel J. Levitin shows how to recognize misleading announcements, statistics, graphs, and written reports revealing the ways lying weasels can use them. It's becoming harder to separate the wheat from the digital chaff. How do we distinguish misinformation, pseudo-facts, distortions, and outright lies from reliable information? Levitin groups his field guide into two categories—statistical infomation and faulty arguments—ultimately showing how science is the bedrock of critical thinking. Infoliteracy means understanding that there are hierarchies of source quality and bias that variously distort our information feeds via every media channel, including social media. We may expect newspapers, bloggers, the government, and Wikipedia to be factually and logically correct, but they so often aren't. We need to think critically about the words and numbers we encounter if we want to be successful at work, at play, and in making the most of our lives. This means checking the plausibility and reasoning—not passively accepting information, repeating it, and making decisions based on it. Readers learn to avoid the extremes of passive gullibility and cynical rejection. Levitin's charming, entertaining, accessible guide can help anyone wake up to a whole lot of things that aren't so. And catch some lying weasels in their tracks!

    He presents a simple 4-step plan for a healthy diet, backed by science. No gimmicks, no expensive supplements, no hassle – just practical advice and 70 easy recipes for every day of the week.

    Carbs Cals

    To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological 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 statistics so you can understand key points and actually use them. Learn to present data visually with charts and plots; discover the difference between taking the average with mean, median, and mode, and why it's important; learn how to calculate probability and expectation; and much more.Head First Statistics is ideal for high school and college students taking statistics and satisfies the requirements for passing the College Board's Advanced Placement (AP) Statistics Exam. With this book, you'll:Study the full range of topics covered in first-year statistics Tackle tough statistical concepts using Head First's dynamic, visually rich format proven to stimulate learning and help you retain knowledge Explore real-world scenarios, ranging from casino gambling to prescription drug testing, to bring statistical principles to life Discover how to measure spread, calculate odds through probability, and understand the normal, binomial, geometric, and Poisson distributions Conduct sampling, use correlation and regression, do hypothesis testing, perform chi square analysis, and moreBefore you know it, you'll not only have mastered statistics, you'll also see how they work in the real world. Head First Statistics will help you pass your statistics course, and give you a firm understanding of the subject so you can apply the knowledge throughout your life.

    Learn what the different types of classes are like, how to thrive in your clinical rotations, master test-taking strategies and discover the author's own unique system for approaching patient care. With The Nursing School Thrive Guide, you'll start the semester ahead of the curve, with the tools you need to hit the ground running when classes start. Follow the system outlined in this book, and you'll be an organized, confident nursing student...guaranteed. Maureen Osuna is a critical care nurse with a passion (more like obsession) for mentoring nursing students and is owner of the website www.straightanursingstudent.com.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    Yet, when it comes to diagnosing difficult cases, the clinician’s strongest asset might just be one of the oldest tools of the medical profession—careful listening. True Medical Detective Stories is a fascinating compendium of nineteen true-life medical cases, each solved by clinical deduction and facilitated by careful listening. These accounts present puzzling low-tech cases—most of them serious, some humorous—that were solved either at the bedside or by epidemiological studies. Dr. Clifton Meador’s book is a wonderful contribution to the genre of medical detective stories mastered by the legendary Berton Roueché. As a staff writer at The New Yorker from 1944 until his death fifty years later, Roueché popularized this form, which has provided source material for feature films and most recently supplied scenarios featured in medical television dramas, such as House. While Hollywood frequently oversimplifies and elides the real clinical situations, True Medical Detective Stories sets the record straight with a voice of authority and an engaging style rooted in the fact that most of the cases presented involve Dr. Meador’s actual patients. Dr. Meador discovered Berton Roueché’s writing as a teenager, when he first read Eleven Blue Men. In an astonishing twist of fate, Roueché, in later years, traveled to Nashville to meet with Dr. Meador and discuss one of his cases, with Roueché’s account published posthumously under the title, The Man Who Grew Two Breasts. In a fitting tribute to Roueché, this perplexing case is revisited by Dr. Meador in the opening chapter of this highly enjoyable book. True Medical Detective Stories is a captivating read that will keep you marveling over the idiosyncrasies of the human body and the ingenuity of the human mind.