"An ideal introduction to statistics in any field." This text uses words and diagrams, rather than formulas and equations, to help students from all subject areas understand what statistics is, and how to think statistically. The author uses a question-and-answer presentation style to help students learn on their own. "Statistics Without Tears" focuses on the ideas behind statistics only; students are not required to perform any calculations.
Statistik ist trocken und macht keinen Spaß? Falsch! Mit diesem Manga lernt man die Grundlagen der Statistik kennen, kann sie in zahlreichen Aufgaben anwenden und anhand der Lösungen seinen Lernfortschritt überprüfen – und hat auch noch eine Menge Spaß dabei! Eigentlich will die Schülerin Rui nur einen Arbeitskollegen ihres Vaters beeindrucken und nimmt daher Nachhilfe in Statistik. Doch schnell bemerkt auch sie, wie interessant Statistik sein kann, wenn man beispielsweise Statistiken über Nudelsuppen erstellt. Nur ihren Lehrer hatte sich Rui etwas anders vorgestellt, er scheint ein langweiliger Streber zu sein – oder?
Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!
Through his years of teaching hospitality and tourism management and working with many of the country's leading consumer product and service firms, Professor Stanley I. Buchin understands the importance of using the right methods to discern meaningful information out of numbers. In Statistics Without Tears: Quantitative Analysis and Forecasting in Hospitality and Tourism, he presents a different approach to statistical analysis that avoids the headaches of math-intensive techniques in favor of graphics and computer programs, while still maintaining a rigorous approach to the analysis. The textbook launches into descriptive statistics by asking the question, are we measuring the right things? He examines what data is currently available to hospitality managers about their operations and what this data means (STAR reports). But one can begin to steer away from all that by displaying measurements with visual graphics such as pie charts and bar graphs, which are easier for most people to comprehend than mind-numbing lists of numbers. And there is a better way of summarizing measurements, too: Why not take advantage of computer software like Excel to make sense out of the standard data descriptors: mean, median, mode, variance, and standard deviation? With these tools in hand, the book tackles techniques for sales forecasting such as time-series analysis, correlation analysis, and exponential smoothing, as well as for cost forecasting, particularly by looking at regression analysis to estimate costs at different levels of business activity. New directions in forecasting are also introduced, including exponentially weighted regression, the professor's own personally developed technique. Drawing from his extensive academic and professional background, Professor Buchin's approach to teaching statistics analysis in Statistics Without Tears is bound to become standard text for courses in quantitative methods in all the best hospitality administration programs. Also available is an online Instructors Manual, which contains the following information: suggested course syllabus, PowerPoint slides outlining each chapter, answers to the problems at the end of each chapter, four sets of review problems and answers to these review problems, three suggested quizzes and a final examination, including answers to the quiz and final examination problems. Instructors who wish to get a copy of the Instructors Manual should contact the author at [email protected]
„Dieses gehört zu der Handvoll Bücher, die für mich universell sind. Ich empfehle es wirklich jedem.“ ANN PATCHETT Was macht das eigene Leben lebenswert? Was tun, wenn die Lebensleiter keine weiteren Stufen in eine vielversprechende Zukunft bereithält? Was bedeutet es, ein Kind zu bekommen, neues Leben entstehen zu sehen, während das eigene zu Ende geht? Bewegend und mit feiner Beobachtungsgabe schildert der junge Arzt und Neurochirurg Paul Kalanithi seine Gedanken über die ganz großen Fragen.
This is a book about the ideas that drive statistics. It is an ideal primer for students who need an introduction to the concepts of statistics without the added confusion of technical jargon and mathematical language. It introduces the intuitive thinking behind standard procedures, explores the process of informal reasoning, and uses conceptual frameworks to provide a foundation for students new to statistics. It showcases the expertise we have all developed from living in a data saturated society, increases our statistical literacy and gives us the tools needed to approach statistical mathematics with confidence. Key topics include: Variability Standard Distributions Correlation Relationship Sampling Inference An engaging, informal introduction this book sets out the conceptual tools required by anyone undertaking statistical procedures for the first time or for anyone needing a fresh perspective whilst studying the work of others.
Die Wahrscheinlichkeitsrechnung wird in der Schule oft nur beiläufig behandelt, dabei handelt es sich um ein besonders spannendes und alltagstaugliches Teilgebiet der Mathematik. Für alle, die über dieses Thema noch etwas mehr erfahren wollen oder müssen, erklärt Deborah Rumsey verständlich und mit Humor, was sie unbedingt wissen sollten. Egal ob Kontingenztabelle, zentraler Grenzwertsatz, Stichproben-, Binomial- oder Poissonverteilung, in diesem Buch lernen Sie, was es ist und wie Sie es anwenden. Zu jedem Kapitel finden Sie online eine Übungsaufgabe samt Lösung, um das Gelernte zu festigen. Auch Tipps zu praktischen Anwendungen - ob bei der Arbeit oder am Pokertisch - kommen nicht zu kurz. So finden Sie in diesem Buch alles, was Sie über Wahrscheinlichkeitsrechnung unbedingt wissen sollten.
This straightforward primer in basic statistics emphasizes its practical use in epidemiology and public health, providing understanding of essential topics such as study design, data analysis and statistical methods used in the execution of medical research. This new edition is substantially revised and includes entirely new material on statistical power and sample size. Clearly worded and assuming no prior knowledge, it gives full step-by-step guidance on performing statistical calculations. It contains numerous examples and exercises with detailed answers to help readers grasp the main points of these complex subjects with ease, providing doctors, nurses, health managers, researchers and students with a concise and practical guide
Zuverlässige Vorhersagen sind doch möglich! Nate Silver ist der heimliche Gewinner der amerikanischen Präsidentschaftswahlen 2012: ein begnadeter Statistiker, als »Prognose-Popstar« und »Wundernerd« weltberühmt geworden. Er hat die Wahlergebnisse aller 50 amerikanischen Bundesstaaten absolut exakt vorausgesagt – doch damit nicht genug: Jetzt zeigt Nate Silver, wie seine Prognosen in Zukunft Terroranschläge, Umweltkatastrophen und Finanzkrisen verhindern sollen. Gelingt ihm die Abschaffung des Zufalls? Warum werden Wettervorhersagen immer besser, während die Terrorattacken vom 11.09.2001 niemand kommen sah? Warum erkennen Ökonomen eine globale Finanzkrise nicht einmal dann, wenn diese bereits begonnen hat? Das Problem ist nicht der Mangel an Informationen, sondern dass wir die verfügbaren Daten nicht richtig deuten. Zuverlässige Prognosen aber würden uns helfen, Zufälle und Ungewissheiten abzuwehren und unser Schicksal selbst zu bestimmen. Nate Silver zeigt, dass und wie das geht. Erstmals wendet er seine Wahrscheinlichkeitsrechnung nicht nur auf Wahlprognosen an, sondern auf die großen Probleme unserer Zeit: die Finanzmärkte, Ratingagenturen, Epidemien, Erdbeben, den Klimawandel, den Terrorismus. In all diesen Fällen gibt es zahlreiche Prognosen von Experten, die er überprüft – und erklärt, warum sie meist falsch sind. Gleichzeitig schildert er, wie es gelingen kann, im Rauschen der Daten die wesentlichen Informationen herauszufiltern. Ein unterhaltsamer und spannender Augenöffner!
The new edition of Complete Psychology is the definitive undergraduate textbook. It not only fits exactly with the very latest BPS curriculum and offers integrated web support for students and lecturers, but it also includes guidance on study skills, research methods, statistics and careers. Complete Psychology provides excellent coverage of the major areas of study . Each chapter has been fully updated to reflect changes in the field and to include examples of psychology in applied settings, and further reading sections have been expanded. The companion website, www.completepsychology.co.uk, has also been fully revised and now contains chapter summaries, author pages, downloadable presentations, useful web links, multiple choice questions, essay questions and an electronic glossary. Written by an experienced and respected team of authors, this highly accessible, comprehensive text is illustrated in full colour, and quite simply covers everything students need for their first-year studies as well as being an invaluable reference and revision tool for second and third years.
Eine leidenschaftliche Antithese zum üblichen Kulturpessimismus und ein engagierter Widerspruch zu dem weitverbreiteten Gefühl, dass die Moderne dem Untergang geweiht ist. Hass, Populismus und Unvernunft regieren die Welt, Wissenschaftsfeindlichkeit macht sich breit, Wahrheit gibt es nicht mehr: Wer die Schlagzeilen von heute liest, könnte so denken. Doch Bestseller-Autor Steven Pinker zeigt, dass das grundfalsch ist. Er hat die Entwicklung der vergangenen Jahrhunderte gründlich untersucht und beweist in seiner fulminanten Studie, dass unser Leben stetig viel besser geworden ist. Heute leben wir länger, gesünder, sicherer, glücklicher, friedlicher und wohlhabender denn je, und nicht nur in der westlichen Welt. Der Grund: die Aufklärung und ihr Wertesystem. Denn Aufklärung und Wissenschaft bieten nach wie vor die Basis, um mit Vernunft und im Konsens alle Probleme anzugehen. Anstelle von Gerüchten zählen Fakten, anstatt überlieferten Mythen zu glauben baut man auf Diskussion und Argumente. Anschaulich und brillant macht Pinker eines klar: Vernunft, Wissenschaft, Humanismus und Fortschritt sind weiterhin unverzichtbar für unser Wohlergehen. Ohne sie wird die Welt auf keinen Fall zu einem besseren Ort für uns alle. »Mein absolutes Lieblingsbuch aller Zeiten.« Bill Gates
The ideal companion for the working biologist, covering all the statistical tests needed throughout all levels of study. Uses the statistical test decision chart to point students to the correct test they need Biological examples used throughout the book Step by step instructions on carrying out statistical tests on both a calculator and using SPSS Demonstrates the relevance and usefulness of statistics to biology students Self assessment exercises throughout the book
Now available in paperback— What makes seasoned IT professionals run for cover? Answer: Forecasting Oracle Performance! Craig Shallahamer is an Oracle performance expert with over 18 years of experience. His book is the first to focus not on the problem of solving today's problem, but squarely on the problem of forecasting the future performance of an Oracle database. Other Oracle performance books are good for putting out fires; Craig's book helps you avoid all the heat in the first place. If you’re an IT practioner who appreciates application over mathematical proofs than you’ll be pleasantly surprised! Each chapter is filled with examples to transform the theory, mathematics, and methods into something you can practically apply. Craig's goal is to teach you about real-word Oracle performance forecasting. Period. There is no hidden agenda. This book is a kind of training course. After reading, studying, and practicing the material covered in this book, you to be able to confidently, responsibly, and professionally forecast performance and system capacity in a wide variety of real-life situations. If you are more management-minded (or want to be), you will be delighted with the service level management focus. Forecasting makes good business sense because it maximizes the return on IT investment and minimizes unplanned down time. To those who think forecasting is a waste of money: well...obviously, they’ve never been on the evening news because their company lost millions of dollars in revenue and brand destruction because of poorly performing or unavailable systems. Without a doubt, you will be equipped to deal with the realities of forecasting Oracle performance. But this book gives you more. Not only will you receive a technical and mathematical perspective, but also a communication, a presentation, and a management perspective. This is career building stuff and immensely satisfying! What you’ll learnThis book is a “how-to” book filled with examples to transform theory and mathematics into something you can practically apply. You will learn how to use a variety of forecasting models, which will enable you to methodically: Help manage service levels from a business value perspective Identify the risk of over utilized resources Predict what component of an architecture is at risk Predict when a system will be at risk Develop multiple risk mitigating strategies to ensure service levels are maintained Characterize a complex Oracle workload Who this book is for IT professionals who must ensure their production Oracle systems are meeting service levels, in part, through forecasting performance, identifying risk, and developing solutions to ensure systems are available without wasting budget. Readers include database administrators, IT managers, developers, capacity planners, systems architects, systems integrators.
"...I know of no better book of its kind..." (Journal ofthe Royal Statistical Society, Vol 169 (1), January2006) A revised and updated edition of this bestselling introductorytextbook to statistical analysis using the leading free softwarepackage R This new edition of a bestselling title offers a conciseintroduction to a broad array of statistical methods, at a levelthat is elementary enough to appeal to a wide range ofdisciplines. Step-by-step instructions help thenon-statistician to fully understand the methodology. Thebook covers the full range of statistical techniques likely to beneeded to analyse the data from research projects, includingelementary material like t--tests and chi--squared tests,intermediate methods like regression and analysis of variance, andmore advanced techniques like generalized linear modelling. Includes numerous worked examples and exercises within eachchapter.
Presents the most relevant statistical and probabilistic machinery for use in observational astronomy.

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