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Introductory Statistics Using SPSS
by Herschel KnappThe updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.
Introductory Statistics Using SPSS
by Herschel KnappThe updated Second Edition of Herschel Knapp’s friendly and practical introduction to statistics shows students how to properly select, process, and interpret statistics without heavy emphasis on theory, formula derivations, or abstract mathematical concepts. Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Online tutorial videos, examples, screenshots, and intuitive illustrations help students "get the story" from their data as they learn by doing, completing practice exercises at the end of each chapter using prepared downloadable data sets.
Introductory Statistics and Analytics: A Resampling Perspective
by Peter C. BruceConcise, thoroughly class-tested primer that features basic statistical concepts in the concepts in the context of analytics, resampling, and the bootstrapA uniquely developed presentation of key statistical topics, Introductory Statistics and Analytics: A Resampling Perspective provides an accessible approach to statistical analytics, resampling, and the bootstrap for readers with various levels of exposure to basic probability and statistics. Originally class-tested at one of the first online learning companies in the discipline, www.statistics.com, the book primarily focuses on applications of statistical concepts developed via resampling, with a background discussion of mathematical theory. This feature stresses statistical literacy and understanding, which demonstrates the fundamental basis for statistical inference and demystifies traditional formulas. The book begins with illustrations that have the essential statistical topics interwoven throughout before moving on to demonstrate the proper design of studies. Meeting all of the Guidelines for Assessment and Instruction in Statistics Education (GAISE) requirements for an introductory statistics course, Introductory Statistics and Analytics: A Resampling Perspective also includes:Over 300 "Try It Yourself" exercises and intermittent practice questions, which challenge readers at multiple levels to investigate and explore key statistical conceptsNumerous interactive links designed to provide solutions to exercises and further information on crucial conceptsLinkages that connect statistics to the rapidly growing field of data scienceMultiple discussions of various software systems, such as Microsoft Office Excel®, StatCrunch, and R, to develop and analyze dataAreas of concern and/or contrasting points-of-view indicated through the use of "Caution" iconsIntroductory Statistics and Analytics: A Resampling Perspective is an excellent primary textbook for courses in preliminary statistics as well as a supplement for courses in upper-level statistics and related fields, such as biostatistics and econometrics. The book is also a general reference for readers interested in revisiting the value of statistics.
Introductory Statistics for Business and Economics
by Jan UbøeThis textbook discusses central statistical concepts and their use in business and economics. To endure the hardship of abstract statistical thinking, business and economics students need to see interesting applications at an early stage. Accordingly, the book predominantly focuses on exercises, several of which draw on simple applications of non-linear theory. The main body presents central ideas in a simple, straightforward manner; the exposition is concise, without sacrificing rigor. The book bridges the gap between theory and applications, with most exercises formulated in an economic context. Its simplicity of style makes the book suitable for students at any level, and every chapter starts out with simple problems. Several exercises, however, are more challenging, as they are devoted to the discussion of non-trivial economic problems where statistics plays a central part.
Introductory Statistics for Business and Economics (Fourth Edition)
by Ronald J. Wonnacott Thomas H. WonnacottThis Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Introductory Statistics for Data Analysis
by Warren J. Ewens Katherine BrumbergThis book describes the probability theory associated with frequently used statistical procedures and the relation between probability theory and statistical inference. The first third of the book is dedicated to probability theory including topics relating to events, random variables, and the Central Limit Theorem. Statistical topics then include parameter estimation with confidence intervals, hypothesis testing, chi-square tests, t tests, and several non-parametric tests. Flow charts are frequently used to facilitate an understanding of the material considered. The examples and problems in the book all concern simple data sets which can be analyzed with a simple calculator; however, the R code required to complete many examples and problems is provided as well for those that are interested.
Introductory Statistics for the Behavioral Sciences
by Barry H. Cohen R. Brooke Lea Joan WelkowitzA comprehensive and user-friendly introduction to statistics for behavioral science students-revised and updatedRefined over seven editions by master teachers, this book gives instructors and students alike clear examples and carefully crafted exercises to support the teaching and learning of statistics for both manipulating and consuming data.One of the most popular and respected statistics texts in the behavioral sciences, the Seventh Edition of Introductory Statistics for the Behavioral Sciences has been fully revised. The new edition presents all the topics students in the behavioral sciences need in a uniquely accessible and easy-to-understand format, aiding in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.The Seventh Edition features: A continuous narrative that clearly explains statistics while tracking a common data set throughout, making the concepts unintimidating and memorable, and providing a framework that connects all of the topics and allows for easy comparison of different statistical analyses Coverage of important aspects of research design throughout the text, such as the "correlation is not causality" principle Updated and annotated SPSS output at the end of each chapter with step-by-step instructions Updated examples and exercises An expanded website, at www.wiley.com/go/welkowitz, with test bank, chapter quizzes, and PowerPoint slides for instructors, as well as a second website for students with additional basic math coverage, math review exercises, a study guide, a set of additional SPSS exercises, and more downloadable data sets
Introductory Statistics for the Behavioral Sciences
by Barry H. Cohen Joan Welkowitz Robert B. EwenA comprehensive and user-friendly introduction to statistics-now revised and updatedIntroductory Statistics for the Behavioral Sciences has had a long and successful history and is a popular and well-respected statistics text. Now in its sixth edition, the text has been thoroughly revised to present all the topics students in the behavioral sciences need in a uniquely accessible format that aids in the comprehension and implementation of the statistical analyses most commonly used in the behavioral sciences.Using a continuous narrative that explains statistics and tracks a common data set throughout, the authors have developed an innovative approach that makes the material unintimidating and memorable, providing a framework that connects all of the topics in the text and allows for easy comparison of different statistical analyses.New features in this Sixth Edition include:* Different aspects of a common data set are used to illustrate the various statistical methods throughout the text, with an emphasis on drawing connections between seemingly disparate statistical procedures and formulas* Computer exercises based on the same large data set and relevant to that chapter's content. The data set can be analyzed by any available statistical software* New "Bridge to SPSS" sections at the end of each chapter explain, for those using this very popular statistical package, how to perform that chapter's statistical procedures by computer, and how to translate the output from SPSS* New chapters on multiple comparisons and repeated-measures ANOVA
Introductory Statistics for the Health Sciences
by Lise DeShea Larry E. ToothakerIntroductory Statistics for the Health Sciences takes students on a journey to a wilderness where science explores the unknown, providing students with a strong, practical foundation in statistics. Using a color format throughout, the book contains engaging figures that illustrate real data sets from published research. Examples come from many area
Introductory Statistics with R, (Statistics and Computing Series)
by Peter DalgaardThe statistical methodology covered includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one-and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis.
Introductory Statistics: A Conceptual Approach Using R
by William B. Ware John M. Ferron Barbara M. MillerThis comprehensive and uniquely organized text is aimed at undergraduate and graduate level statistics courses in education, psychology, and other social sciences. A conceptual approach, built around common issues and problems rather than statistical techniques, allows students to understand the conceptual nature of statistical procedures and to focus more on cases and examples of analysis. Wherever possible, presentations contain explanations of the underlying reasons behind a technique. Importantly, this is one of the first statistics texts in the social sciences using R as the principal statistical package. Key features include the following. Conceptual Focus – The focus throughout is more on conceptual understanding and attainment of statistical literacy and thinking than on learning a set of tools and procedures. Problems and Cases – Chapters and sections open with examples of situations related to the forthcoming issues, and major sections ends with a case study. For example, after the section on describing relationships between variables, there is a worked case that demonstrates the analyses, presents computer output, and leads the student through an interpretation of that output. Continuity of Examples – A master data set containing nearly all of the data used in the book’s examples is introduced at the beginning of the text. This ensures continuity in the examples used across the text. Companion Website – A companion website contains instructions on how to use R, SAS, and SPSS to solve the end-of-chapter exercises and offers additional exercises. Field Tested – The manuscript has been field tested for three years at two leading institutions.
Introductory Statistics: Exploring the World through Data
by Robert Gould Rebecca Wong Colleen RyanFor courses in Introductory Statistics. Data analysis for everyone Data in the real world are dynamic and sometimes messy. This complexity can intimidate students who are new to math and statistics ― but it’s also what makes statistics so interesting! Embracing these characteristics, Introductory Statistics teaches students how to explore and analyze real data to answer real-world problems. Crafted by authors who are active in the classroom and in the statistics education community, the 3rd Edition pairs a clear, conversational writing style with new and frequent opportunities to apply statistical thinking. Its tone and learning aids are designed to equip any student to analyze, interpret, and tell a story about modern data, regardless of the student’s mathematical proficiency.
Introductory Statistics: Lecture Guide And Student Notebook
by KokoskaThis text helps students develop the fundamental lifelong skill of solving problems and interpreting solutions in real-world terms. One of our goals was to make this problem-solving approach accessible and easy to apply in many situations. We certainly want students to appreciate the beauty of statistics and connections to so many other disciplines. However, it is even more important for students to be able to apply problem-solving skills to a wide range of academic and career pursuits, including business, science and technology, and education. Third Edition, presents long-term, universal skills for students taking a one- or two-semester introductory-level statistics course. Examples include guided, explanatory solutions that emphasize problem-solving techniques. Example solutions are presented in a numbered, step-by-step format. The generous collection and variety of exercises provide ample opportunity for practice and review in a variety of contexts. Concepts, examples, and exercises are presented from a practical, realistic perspective. Real and realistic data sets are current and relevant. The text uses mathematically correct notation and symbols and precise definitions to clearly illustrate statistical procedures and proper communication. This text is designed to help students fully understand the steps in basic statistical arguments, emphasizing the importance of assumptions in order to follow valid arguments or identify inaccurate conclusions. Most importantly, students will understand the process of statistical inference. A four-step process (Claim, Experiment, Likelihood, Conclusion) is used throughout the text to present the smaller pieces of introductory statistics upon which the large, essential statistical inference puzzle is built.
Introductory Theory of Topological Vector Spaces (Pure and Applied Mathematics #167)
by Yau-Chuen WongThis text offers an overview of the basic theories and techniques of functional analysis and its applications. It contains topics such as the fixed point theory starting from Ky Fan's KKM covering and quasi-Schwartz operators. It also includes over 200 exercises to reinforce important concepts.
Introductory and Intermediate Algebra
by D. Franklin WrightINTRODUCTORY & INTERMEDIATE ALGEBRA SECOND EDITION
Introductory and Intermediate Algebra for College Students (Fifth Edition)
by Robert F. BlitzerNOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Books a la Carte also offer a great value-this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. Several versions of Pearson's MyLab & Mastering products exist for each title, including customized versions for individual schools, and registrations are not transferable. In addition, you may need a CourseID, provided by your instructor, to register for and use Pearson's MyLab & Mastering products. For courses in introductory and intermediate algebra. Gets them engaged. Keeps them engaged. Bob Blitzer's use of realistic applications instantly piques students' curiosity about the presence of mathematical concepts in the world around them. These applications are apparent throughout the entire program-from his relatable examples, friendly writing style, and thought-provoking features in the textbook, to the enhanced digital resources in the MyMathLab course. Blitzer pulls from topics that are relevant to college students, often from pop culture and everyday life, to ensure that students will actually use their learning resources to achieve success. With an expansion of the series to now include a Developmental Math "all-in-one" text (with content spanning prealgebra through intermediate algebra), and with an enhanced media program accompanying this revision, developmental students at all levels will see how math applies to their daily lives and culture. Also available with MyMathLab #65533; MyMathLab is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.
Introduzione al calcolo in più variabili ed equazioni differenziali (UNITEXT #142)
by Carlo MaricondaIl testo riguarda alcuni argomenti tipici di un qualunque corso di Analisi Matematica in più variabili, con cenno di tecniche risolutive di alcune equazioni differenziali:Lo spazio e le curve;Funzioni di più variabili (grafici di base, limiti, continuità);Calcolo differenziale e approssimazioni;Massimi e minimi locali e globali;Integrali curvilinei;Integrali doppi;Integrali tripli;Superficie parametriche;Teoremi della divergenza e di Green - Stokes nel piano e nello spazio;cenni sulle equazioni differenziali ed equazioni differenziali lineari del I ordine e a variabili separabili. Si tratta di note scritte su misura per l'insegnamento di Fondamenti di Analisi e Probabilità (FAMP) per i corsi di laurea in Ingegneria Biomedica, Elettronica e Informatica dell'Università di Padova, nei quali la parte di Analisi Matematica viene svolto in una quarantina di ore. La novità di questo testo, rispetto ad altri con contenuti analoghi, è la struttura in e-book parallela ad un MOOC (Massive Open Online Course) di Analisi matematica: calcolo in più variabili ed equazioni differenziali presente sulla piattaforma Federica WebLearning, la cui fruizione è gratuita. In ogni sezione vi sono dei link che rimandano a dei video brevi, circa una cinquantina, che illustrano e introducono gli argomenti, a dei test di autovalutazione, o ad altre attività del MOOC. Ciò rende il testo adatto a tutti gli studenti di un qualunque corso universitario che affronti contenuti di analisi matematica in più variabili, ed è sicuramente utile anche nei corsi con maggiori contenuti teorici per impadronirsi dei concetti di base.
Introduzione alla termomeccanica dei sistemi continui ed ai sistemi iperbolici (UNITEXT #170)
by Tommaso RuggeriL'obiettivo principale di questo libro è presentare un trattamento unificato della termomeccanica dei continui utilizzando l'approccio assiomatico tipico della meccanica razionale. Mentre molti testi di meccanica dei continui si concentrano su tipi specifici di corpi continui, come i corpi solidi deformabili o i fluidi, questo libro adotta una prospettiva generale. Viene presentata la struttura matematica delle leggi di bilancio e delle equazioni costitutive come un insieme coeso, con particolare attenzione alla moderna teoria delle equazioni costitutive. Si sottolineano principi importanti, come il principio di indifferenza materiale e l'interpretazione contemporanea del principio di entropia. Per garantire la coerenza interna, la prima parte del libro affronta questioni relative all'algebra lineare, con particolare attenzione agli operatori lineari all'interno degli spazi vettoriali a dimensione finita. Successivamente, il libro offre un'esplorazione dettagliata delle deformazioni finite dei continui, seguita da una panoramica sulla cinematica. Vengono caratterizzate le varie forze che possono esistere in un continuo, introdotto il tensore degli sforzi e presentate le leggi di bilancio sia in forma euleriana che lagrangiana. Successivamente viene definita la moderna teoria delle equazioni costitutive, sottolineando il ruolo dei principi generali di indifferenza materiale e di entropia come criteri per la selezione delle classi fisicamente accettabili di equazioni costitutive. Le equazioni di campo risultanti sono specializzate per vari casi, tra cui la termoelasticità, i fluidi euleriani, i fluidi di Fourier-Navier‒Stokes e i conduttori rigidi di calore. Nell'ultima parte del libro vengono discussi i sistemi di equazioni alle derivate parziali nella meccanica dei continui, con particolare attenzione ai sistemi iperbolici. Il metodo delle caratteristiche viene introdotto sia nei casi lineari che non lineari, e si discute la necessità di ampliare la classe delle soluzioni introducendo le soluzioni deboli, con le onde d'urto come caso significativo. Come esempio illustrativo di soluzione debole, viene presentato il problema di Riemann per il modello fluidodinamico del traffico veicolare, in cui le automobili sono inizialmente ferme a un semaforo rosso e poi iniziano a muoversi quando il semaforo diventa verde. Questo libro sarà utile non solo per gli studenti di ingegneria, ma anche per gli studenti di altre discipline scientifiche in cui si studiano aspetti della meccanica dei continui. Fornisce l'opportunità di considerare argomenti tradizionalmente distinti in un contesto più ampio e interconnesso.
Intuition, Trust, and Analytics (Data Analytics Applications)
by Jerzy Gołuchowski Joanna Paliszkiewicz Jay LiebowitzIn order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elements—intuition, analytics, and trust—make a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making.
Intuitionistic Fuzzy Logics
by Krassimir T. AtanassovThe book offers a comprehensive survey of intuitionistic fuzzy logics. By reporting on both the author's research and others' findings, it provides readers with a complete overview of the field and highlights key issues and open problems, thus suggesting new research directions. Starting with an introduction to the basic elements of intuitionistic fuzzy propositional calculus, it then provides a guide to the use of intuitionistic fuzzy operators and quantifiers, and lastly presents state-of-the-art applications of intuitionistic fuzzy sets. The book is a valuable reference resource for graduate students and researchers alike.
Intuitionistic Proof Versus Classical Truth: The Role Of Brouwer's Creative Subject In Intuitionistic Mathematics (Logic, Epistemology, and the Unity of Science #42)
by Enrico MartinoThis book examines the role of acts of choice in classical and intuitionistic mathematics. Featuring fifteen papers – both new and previously published – it offers a fresh analysis of concepts developed by the mathematician and philosopher L.E.J. Brouwer, the founder of intuitionism.The author explores Brouwer’s idealization of the creative subject as the basis for intuitionistic truth, and in the process he also discusses an important, related question: to what extent does the intuitionistic perspective succeed in avoiding the classical realistic notion of truth? The papers detail realistic aspects in the idealization of the creative subject and investigate the hidden role of choice even in classical logic and mathematics, covering such topics as bar theorem, type theory, inductive evidence, Beth models, fallible models, and more. In addition, the author offers a critical analysis of the response of key mathematicians and philosophers to Brouwer’s work. These figures include Michael Dummett, Saul Kripke, Per Martin-Löf, and Arend Heyting.This book appeals to researchers and graduate students with an interest in philosophy of mathematics, linguistics, and mathematics.
Intuitive Axiomatic Set Theory (Textbooks in Mathematics)
by José L GarciáSet theory can be rigorously and profitably studied through an intuitive approach, thus independently of formal logic. Nearly every branch of Mathematics depends upon set theory, and thus, knowledge of set theory is of interest to every mathematician. This book is addressed to all mathematicians and tries to convince them that this intuitive approach to axiomatic set theory is not only possible but also valuable.The book has two parts. The first one presents, from the sole intuition of "collection" and "object", the axiomatic ZFC-theory. Then, we present the basics of the theory: the axioms, well-orderings, ordinals and cardinals are the main subjects of this part. In all, one could say that we give some standard interpretation of set theory, but this standard interpretation results in a multiplicity of universes. The second part of the book deals with the independence proofs of the continuum hypothesis (CH) and the axiom of choice (AC), and forcing is introduced as a necessary tool, and again the theory is developed intuitively, without the use of formal logic. The independence results belong to the metatheory, as they refer to things that cannot be proved, but the greater part of the arguments leading to the independence results, including forcing, are purely set-theoretic. The book is self-contained and accessible to beginners in set theory. There are no prerequisites other than some knowledge of elementary mathematics. Full detailed proofs are given for all the results.
Intuitive Concepts in Elementary Topology
by B. H. ArnoldClassroom-tested and much-cited, this concise text offers a valuable and instructive introduction for undergraduates to the basic concepts of topology. It takes an intuitive rather than an axiomatic viewpoint, and can serve as a supplement as well as a primary text.A few selected topics allow students to acquire a feeling for the types of results and the methods of proof in mathematics, including mathematical induction. Subsequent problems deal with networks and maps, provide practice in recognizing topological equivalence of figures, examine a proof of the Jordan curve theorem for the special case of a polygon, and introduce set theory. The concluding chapters examine transformations, connectedness, compactness, and completeness. The text is well illustrated with figures and diagrams.
Invariance Entropy for Deterministic Control Systems
by Christoph KawanThis monograph provides an introduction to the concept of invariance entropy, the central motivation of which lies in the need to deal with communication constraints in networked control systems. For the simplest possible network topology, consisting of one controller and one dynamical system connected by a digital channel, invariance entropy provides a measure for the smallest data rate above which it is possible to render a given subset of the state space invariant by means of a symbolic coder-controller pair. This concept is essentially equivalent to the notion of topological feedback entropy introduced by Nair, Evans, Mareels and Moran (Topological feedback entropy and nonlinear stabilization. IEEE Trans. Automat. Control 49 (2004), 1585-1597). The book presents the foundations of a theory which aims at finding expressions for invariance entropy in terms of dynamical quantities such as Lyapunov exponents. While both discrete-time and continuous-time systems are treated, the emphasis lies on systems given by differential equations.
Invariance Theory: The Heat Equation and the Atiyah-Singer Index Theorem (Studies in Advanced Mathematics #16)
by Peter B. GilkeyThis book treats the Atiyah-Singer index theorem using the heat equation, which gives a local formula for the index of any elliptic complex. Heat equation methods are also used to discuss Lefschetz fixed point formulas, the Gauss-Bonnet theorem for a manifold with smooth boundary, and the geometrical theorem for a manifold with smooth boundary. The author uses invariance theory to identify the integrand of the index theorem for classical elliptic complexes with the invariants of the heat equation.