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Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications
by Kathrynn A. Adams Eva Kung McGuire (aka: Lawrence)The third edition of the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention. Learning objectives and brief chapter summaries from the main text remind students of what they′ve learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects. Now placed at the end of book, the IBM® SPSS® workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website.
Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications
by Kathrynn A. Adams Eva Kung McGuire (aka: Lawrence)The third edition of the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications by Kathrynn A. Adams and Eva K. McGuire gives students even more opportunities to practice and apply their knowledge in statistics and research methods. Written by the authors of Research Methods, Statistics, and Applications, the third edition of the study guide follows the third edition of the textbook for straightforward assigning and practice. New features include practice quizzes to give students both recognition and recall activities for better retention. Learning objectives and brief chapter summaries from the main text remind students of what they′ve learned and orient students toward the exercises. In-depth exercises encourage students to build on their knowledge, requiring students to think critically and actively engage with the material. These exercises have been condensed and focus on moving students through the learning objectives at a quick pace. At the end of most chapters, "Your Research" sections encourage students to apply concepts to their own projects. Now placed at the end of book, the IBM® SPSS® workbook provides instructions for performing statistical calculations. Included in this workbook are additional exercises to practice data analysis and interpretation using the software. Answers to quizzes are listed immediately after each quiz in the book while answers to exercises are listed on the instructor resources website.
Student Study Guide With IBM® SPSS® Workbook for Statistics for the Behavioral Sciences
by Dr Gregory J. PriviteraThe Student Study Guide With IBM® SPSS® Workbook for Statistics for the Behavioral Sciences, Third Edition includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and “SPSS in Focus” exercises which complement those in the core text.
Student Study Guide With IBM® SPSS® Workbook for Statistics for the Behavioral Sciences
by Dr Gregory J. PriviteraThe Student Study Guide With IBM® SPSS® Workbook for Statistics for the Behavioral Sciences, Third Edition includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and “SPSS in Focus” exercises which complement those in the core text.
Student Study Guide With SPSS Workbook for Statistics for the Behavioral Sciences
by Dr Gregory J. PriviteraThe Student Study Guide With SPSS Workbook for Statistics for the Behavioral Sciences, Second Edition, by Gregory J. Privitera, includes a review of chapter learning objectives, chapter outlines and key terms, essential statistical formulas, special tips and insights for students, and chapter summaries. To help students practice skills, the guide offers word searches and crossword puzzles for each chapter, extensive practice quizzes linked to chapter learning objectives, and “SPSS in Focus” exercises which complement those in the book.
Student Workbook, Saxon Math 2, Part 1
by Nancy Larson Roseann Paolino Maureen HannanNIMAC-sourced textbook
Student Workbook, Saxon Math 2, Part 2
by Nancy Larson Roseann Paolino Maureen HannanNIMAC-sourced textbook
Student Workbook, Saxon Math 3, Part 2
by Nancy Larson Sharon Molster Orio Jeanne Honore MillerNIMAC-sourced textbook
Students' and Teachers' Values, Attitudes, Feelings and Beliefs in Mathematics Classrooms: Selected Papers from the 22nd MAVI Conference
by Jeppe Skott Hanna PalmérThis contributed volume is an exciting product of the 22nd MAVI conference, which presents cutting-edge research on affective issues in teaching and learning math. The teaching and learning of mathematics is highly dependent on students’ and teachers’ values, attitudes, feelings, beliefs and motivations towards mathematics and mathematics education. These peer-reviewed contributions provide critical insights through their theoretically and methodologically diverse analyses of relevant issues related to affective factors in teaching and learning math and offer new tools and strategies by which to evaluate affective factors in students’ and teachers’ mathematical activities in the classroom. Among the topics discussed: The relationship between proxies for learning and mathematically related beliefs.Teaching for entrepreneurial and mathematical competences.Prospective teachers’ conceptions of the concepts mean, median, and mode.Prospective teachers’ approach to reasoning and proofThe impact of assessment on students’ experiences of mathematics. Through its thematic connections to teacher education, professional development, assessment, entrepreneurial competences, and reasoning and proof, Students' and Teachers' Values, Attitudes, Feelings and Beliefs in Mathematics Classrooms proves to be a valuable resource for educators, practitioners, and students for applications at primary, secondary, and university levels.
Students’ Collaborative Problem Solving in Mathematics Classrooms: An Empirical Study (Perspectives on Rethinking and Reforming Education)
by Yiming CaoThis open access book provides key insights into the social fundamentals of learning and indications of social interactive modes conducive and restrictive of that learning in China. Combining theoretical and technical advances in an innovative research design, this book focuses on collaborative problem solving in mathematics to increase the visibility of social interactions in teachers’ designing, students’ learning and teachers’ instructional intervention. It also explores students’ cognitive and social interaction as well as teacher intervention in students’ group collaboration.
A Student's Guide to Fourier Transforms
by J. F. JamesFourier transform theory is of central importance in a vast range of applications in physical science, engineering, and applied mathematics. This new edition of a successful student text provides a concise introduction to the theory and practice of Fourier transforms, using qualitative arguments wherever possible and avoiding unnecessary mathematics. After a brief description of the basic ideas and theorems, the power of the technique is then illustrated by referring to particular applications in optics, spectroscopy, electronics and telecommunications. The rarely discussed but important field of multi-dimensional Fourier theory is covered, including a description of computer-aided tomography (CAT-scanning). The final chapter discusses digital methods, with particular attention to the fast Fourier transform. Throughout, discussion of these applications is reinforced by the inclusion of worked examples. The book assumes no previous knowledge of the subject, and will be invaluable to students of physics, electrical and electronic engineering, and computer science.
A Student's Guide to Geophysical Equations
by William LowrieThe advent of accessible student computing packages has meant that geophysics students can now easily manipulate datasets and gain first-hand modeling experience - essential in developing an intuitive understanding of the physics of the Earth. Yet to gain a more in-depth understanding of physical theory, and to develop new models and solutions, it is necessary to be able to derive the relevant equations from first principles. This compact, handy book fills a gap left by most modern geophysics textbooks, which generally do not have space to derive all of the important formulae, showing the intermediate steps. This guide presents full derivations for the classical equations of gravitation, gravity, tides, earth rotation, heat, geomagnetism and foundational seismology, illustrated with simple schematic diagrams. It supports students through the successive steps and explains the logical sequence of a derivation - facilitating self-study and helping students to tackle homework exercises and prepare for exams.
A Student’s Guide to Infinite Series and Sequences
by Bernhard W. Bach Jr.Why study infinite series? Not all mathematical problems can be solved exactly or have a solution that can be expressed in terms of a known function. In such cases, it is common practice to use an infinite series expansion to approximate or represent a solution. <P><P>This informal introduction for undergraduate students explores the numerous uses of infinite series and sequences in engineering and the physical sciences. The material has been carefully selected to help the reader develop the techniques needed to confidently utilize infinite series. <P>The book begins with infinite series and sequences before moving onto power series, complex infinite series and finally onto Fourier, Legendre, and Fourier-Bessel series. With a focus on practical applications, the book demonstrates that infinite series are more than an academic exercise and helps students to conceptualize the theory with real world examples and to build their skill set in this area.<P> An informal, plain language approach enables the student to get to grips with the material quickly.<P> A focus on practical real-world examples ensures a complex topic is accessible for students.<P> The early introduction of complex numbers allows the reader to apply infinite series to applications that are typically only addressed in high level mathematics courses.<P>
A Student's Guide to Lagrangians and Hamiltonians
by Patrick HamillA concise but rigorous treatment of variational techniques, focussing primarily on Lagrangian and Hamiltonian systems, this book is ideal for physics, engineering and mathematics students. The book begins by applying Lagrange's equations to a number of mechanical systems. It introduces the concepts of generalized coordinates and generalized momentum. Following this the book turns to the calculus of variations to derive the Euler–Lagrange equations. It introduces Hamilton's principle and uses this throughout the book to derive further results. The Hamiltonian, Hamilton's equations, canonical transformations, Poisson brackets and Hamilton–Jacobi theory are considered next. The book concludes by discussing continuous Lagrangians and Hamiltonians and how they are related to field theory. Written in clear, simple language and featuring numerous worked examples and exercises to help students master the material, this book is a valuable supplement to courses in mechanics.
A Student's Guide to Numerical Methods
by Ian H. HutchinsonThis concise, plain-language guide for senior undergraduates and graduate students aims to develop intuition, practical skills and an understanding of the framework of numerical methods for the physical sciences and engineering. It provides accessible self-contained explanations of mathematical principles, avoiding intimidating formal proofs. Worked examples and targeted exercises enable the student to master the realities of using numerical techniques for common needs such as solution of ordinary and partial differential equations, fitting experimental data, and simulation using particle and Monte Carlo methods. Topics are carefully selected and structured to build understanding, and illustrate key principles such as: accuracy, stability, order of convergence, iterative refinement, and computational effort estimation. Enrichment sections and in-depth footnotes form a springboard to more advanced material and provide additional background. Whether used for self-study, or as the basis of an accelerated introductory class, this compact textbook provides a thorough grounding in computational physics and engineering.
A Student's Guide to the Study, Practice, and Tools of Modern Mathematics (Discrete Mathematics and Its Applications)
by Donald Bindner Martin EricksonA Student's Guide to the Study, Practice, and Tools of Modern Mathematics provides an accessible introduction to the world of mathematics. It offers tips on how to study and write mathematics as well as how to use various mathematical tools, from LaTeX and Beamer to Mathematica and Maple to MATLAB and R. Along with a color insert, the text include
The Student's Introduction to Mathematica®
by Bruce F. Torrence Eve A. TorrenceThe unique feature of this compact student's introduction is that it presents concepts in an order that closely follows a standard mathematics curriculum, rather than structure the book along features of the software. As a result, the book provides a brief introduction to those aspects of the Mathematica software program most useful to students. The second edition of this well loved book is completely rewritten for Mathematica 6 including coverage of the new dynamic interface elements, several hundred exercises and a new chapter on programming. This book can be used in a variety of courses, from precalculus to linear algebra. Used as a supplementary text it will aid in bridging the gap between the mathematics in the course and Mathematica. In addition to its course use, this book will serve as an excellent tutorial for those wishing to learn Mathematica and brush up on their mathematics at the same time.
Student's Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data, second edition (The\mit Press Ser.)
by Jeffrey M. WooldridgeThis is the essential companion to the second edition of Jeffrey Wooldridge's widely used graduate econometrics text. The text provides an intuitive but rigorous treatment of two state-of-the-art methods used in contemporary microeconomic research. The numerous end-of-chapter exercises are an important component of the book, encouraging the student to use and extend the analytic methods presented in the book. This manual contains advice for answering selected problems, new examples, and supplementary materials designed by the author, which work together to enhance the benefits of the text. Users of the textbook will find the manual a necessary adjunct to the book.
Student's Solutions Manual for Elementary Statistics: Using the TI-83/84 Plus Calculator
by Mario F. Triola James LappThis manual contains completely worked-out solutions for all the odd-numbered exercises in the text.
Studienbuch Operationalisierungen: Methoden und Anwendungen in der quantitativen Sozialforschung
by Nina Brück Christian TothDas Studienbuch liefert eine Einführung in die komplexen Operationalisierungsverfahren, die für die Analyse psychometrischer Konstrukte und die Konstruktion eines Messinstruments erforderlich sind. Die Autorin und der Autor zeigen die verschiedenen Schritte einer Operationalisierung vor dem Hintergrund eines breiten Begriffsverständnisses auf. Dabei werden die theoretischen Ausführungen durch praktische Beispiele verdeutlicht.
Studies in Logic and Probability (Dover Books on Mathematics)
by George BooleFrom one of the founders of symbolic logic comes this collection of writings on logical subjects and related questions of probability. George Boole invented Boolean logic, the basis of modern digital computer logic, for which he is regarded as a founder of the field of computer science. This authoritative compilation of his papers features his most mature thinking on Boolean logic and includes previously unpublished material.Appropriate for upper-level undergraduates and graduate students, the contents range from The Mathematical Analysis of Logic to Boole's final works, including The Laws of Thought, the most systematic statement of his ideas on logic and probability. Boole had intended to create a follow-up volume but did not survive to fulfill his ambition; this volume features his further studies on the subject.
Studies in No-Self Physicalism
by Feng YeThis book demonstrates how a radical version of physicalism (‘No-Self Physicalism’) can offer an internally coherent and comprehensive philosophical worldview. It first argues that a coherent physicalist should explicitly treat a cognitive subject merely as a physical thing and should not vaguely assume an amorphous or even soul-like subject or self. This approach forces the physicalist to re-examine traditional core philosophical notions such as truth, analyticity, modality, apriority because our traditional understandings of them appear to be predicated on a cognitive subject that is not literally just a physical thing.In turn, working on the assumption that a cognitive subject is itself completely physical, namely a neural network-based robot programmed by evolution (hence the term ‘No-Self’), the book proposes physicalistic theories on conceptual representation, truth, analyticity, modality, the nature of mathematics, epistemic justification, knowledge, apriority and intuition, as well as a physicalistic ontology. These are meant to show that this No-Self Physicalism, perhaps the most minimalistic and radical version of physicalism proposed to date, can accommodate many aspects that have traditionally interested philosophers. Given its refreshingly radical approach and painstakingly developed content, the book is of interest to anyone who is seeking a coherent philosophical worldview in this age of science.