an introduction to statistics an active learning approach

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An Introduction To Statistics

Author : Kieth A. Carlson
ISBN : 9781483378756
Genre : Psychology
File Size : 20. 79 MB
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An Introduction to Statistics: An Active Learning Approach, Second Edition by Kieth A. Carlson and Jennifer R. Winquist takes a unique, active approach to teaching and learning introductory statistics that allows students to discover and correct their misunderstandings as chapters progress rather than at their conclusion. Empirically-developed, self-correcting activities reinforce and expand on fundamental concepts, targeting and holding students’ attention. Based on contemporary memory research, this learner-centered approach leads to better long-term retention through active engagement while generating explanations. Along with carefully placed reading questions, this edition includes learning objectives, realistic research scenarios, practice problems, self-test questions, problem sets, and practice tests to help students become more confident in their ability to perform statistics.

An Introduction To Statistics

Author : Kieth A. Carlson
ISBN : 9781483321554
Genre : Psychology
File Size : 37. 54 MB
Format : PDF
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An Introduction to Statistics is the ideal text for incorporating an active learning approach to the subject of introductory statistics. Authors Kieth A. Carlson and Jennifer R. Winquist carefully explain fundamental statistical concepts in short, easy-to-understand chapters, then use empirically developed workbook activities to both reinforce and expand on these fundamental concepts. These activities are self-correcting so students discover and correct their own misunderstandings early in the learning process. This approach enables students to be responsible for their own learning by helping them to "read with purpose. Based on contemporary memory research (e.g., the testing effect, embedded reading questions), the text is designed to actively engage students while they generate explanations, which leads to better long term retention. It also contains more traditional student aids including carefully developed learning objectives, realistic research scenarios, practice problems, and self-test questions.

An Introduction To Statistics An Active Learning Approach

Author : CTI Reviews
ISBN : 9781478444763
Genre : Education
File Size : 39. 14 MB
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Facts101 is your complete guide to An Introduction to Statistics, An Active Learning Approach. In this book, you will learn topics such as as those in your book plus much more. With key features such as key terms, people and places, Facts101 gives you all the information you need to prepare for your next exam. Our practice tests are specific to the textbook and we have designed tools to make the most of your limited study time.

Introduction To Statistical Machine Learning

Author : Masashi Sugiyama
ISBN : 9780128023501
Genre : Computers
File Size : 68. 73 MB
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Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image processing, speech processing, natural language processing, robot control, as well as in fundamental sciences such as biology, medicine, astronomy, physics, and materials. Introduction to Statistical Machine Learning provides a general introduction to machine learning that covers a wide range of topics concisely and will help you bridge the gap between theory and practice. Part I discusses the fundamental concepts of statistics and probability that are used in describing machine learning algorithms. Part II and Part III explain the two major approaches of machine learning techniques; generative methods and discriminative methods. While Part III provides an in-depth look at advanced topics that play essential roles in making machine learning algorithms more useful in practice. The accompanying MATLAB/Octave programs provide you with the necessary practical skills needed to accomplish a wide range of data analysis tasks. Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus. Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning. Includes MATLAB/Octave programs so that readers can test the algorithms numerically and acquire both mathematical and practical skills in a wide range of data analysis tasks Discusses a wide range of applications in machine learning and statistics and provides examples drawn from image processing, speech processing, natural language processing, robot control, as well as biology, medicine, astronomy, physics, and materials.

Introduction To Statistics

Author : Howard M. Reid
ISBN : 9781483324289
Genre : Social Science
File Size : 53. 31 MB
Format : PDF, ePub
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Using a truly accessible and reader-friendly approach, Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis, by Howard M. Reid, redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.

Statistics For Research In Psychology

Author : Frederick (Rick) Norman Gurnsey
ISBN : 9781506305172
Genre : Psychology
File Size : 75. 90 MB
Format : PDF, Kindle
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Statistics for Research in Psychology by Rick Gurnsey offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.

Introduction To Statistical Investigations

Author : Nathan Tintle
ISBN : 9781119154310
Genre : Mathematics
File Size : 46. 56 MB
Format : PDF, ePub
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Introduction to Statistical Investigations leads students to learn about the process of conducting statistical investigations from data collection, to exploring data, to statistical inference, to drawing appropriate conclusions. The text is designed for a one-semester introductory statistics course. It focuses on genuine research studies, active learning, and effective use of technology. Simulations and randomization tests introduce statistical inference, yielding a strong conceptual foundation that bridges students to theory-based inference approaches. Repetition allows students to see the logic and scope of inference. This implementation follows the GAISE recommendations endorsed by the American Statistical Association.

Child Development

Author : Laura E. Levine
ISBN : 9781506330716
Genre : Psychology
File Size : 82. 3 MB
Format : PDF
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In the Third Edition of the topically organized Child Development: An Active Learning Approach, authors Laura E. Levine and Joyce A. Munsch invite students to take an active journey toward understanding the latest findings from the field of child development. Using robust pedagogical tools built into the chapter narratives, students are challenged to confront myths and misconceptions, participate in real-world activities with children and independently, and utilize video resources and research tools to pursue knowledge and develop critical thinking skills on their own. This new edition covers the latest findings on developmental neuroscience, positive youth development, the role of fathers, and more, with topics of diversity and culture integrated throughout. More than a textbook, this one-of-a-kind resource will continue to serve students as they go on to graduate studies, to work with children and adolescents professionally, and to care for children of their own.

Developing Thinking In Statistics

Author : Alan Graham
ISBN : 1412911672
Genre : Education
File Size : 74. 14 MB
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Designed to heighten awareness of statistical ideas, this comprehensive and research-based text explores four main themes: describing, comparing, inter-relating, and uncertainty.

Java 6 Illuminated

Author : Julie Anderson
ISBN : 9780763749637
Genre : Computers
File Size : 55. 80 MB
Format : PDF, Mobi
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Provides a comprehensive introduction to pgramming using the most current version of the Java language. In addition to providing all of the material necessary for a complete introductory course in Java programming, the book also features flexible coverage of other topics of interest.

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