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 : 45. 65 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 An Active Learning Approach

Author : CTI Reviews
ISBN : 9781478444763
Genre : Education
File Size : 62. 95 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.

Global Innovation Of Teaching And Learning In Higher Education

Author : Prudence C. Layne
ISBN : 9783319104829
Genre : Education
File Size : 85. 74 MB
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This book examines current trends in higher education and the Scholarship of Teaching and Learning. It introduces readers to pedagogical strategies that instructors worldwide are using to overcome some of the challenges they face in higher education. To maximize their students’ learning, this work argues that institutions are compelled to innovate their policies and instructors must be collaborative and creative in their practices in response to students’ growing demands, needs, challenges to their learning, and the shifting terrain of a rapidly globalizing world. The text explores the idiosyncrasies and challenges that drive innovation across particular cultures, disciplines and institutions. It suggests that the responses to these drivers offer some universal and compatible lessons that not only optimize teaching and learning, but also transgress institutional, cultural, and disciplinary boundaries in higher education. The contributors to this collection work in the United States, the United Kingdom, Africa, Asia, Australia, Scandinavia and the Middle East. They represent a broad range of disciplines, fields and institutional types. They teach in varied contexts, durations, delivery modes, and formats, including online, study abroad, blended, accelerated, condensed, intensive and mortar-and-brick settings. Their higher education students are equally as diverse, in age, cultural backgrounds and needs, but willingly lend their voices and experiences to their instructors’ study of teaching and learning in their particular contexts. This book harnesses the rich diversities and range our contributors represent and shares the results of their expertise, research, and assessments of some of the most creative and effective ways to improve student learning in the face of stagnant practices, limited resources, and other deficiencies that instructors and students face in higher education.

Handbook On Teaching And Learning In Political Science And International Relations

Author : John Ishiyama
ISBN : 9781782548485
Genre : Political Science
File Size : 68. 97 MB
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With a focus on providing concrete teaching strategies for scholars, the Handbook on Teaching and Learning in Political Science and International Relations blends both theory and practice in an accessible and clear manner. In an effort to help faculty

Active Learning

Author : Burr Settles
ISBN : 9781608457267
Genre : Computers
File Size : 40. 82 MB
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The key idea behind active learning is that a machine learning algorithm can perform better with less training if it is allowed to choose the data from which it learns. An active learner may pose "queries," usually in the form of unlabeled data instances to be labeled by an "oracle" (e.g., a human annotator) that already understands the nature of the problem. This sort of approach is well-motivated in many modern machine learning and data mining applications, where unlabeled data may be abundant or easy to come by, but training labels are difficult, time-consuming, or expensive to obtain. This book is a general introduction to active learning. It outlines several scenarios in which queries might be formulated, and details many query selection algorithms which have been organized into four broad categories, or "query selection frameworks." We also touch on some of the theoretical foundations of active learning, and conclude with an overview of the strengths and weaknesses of these approaches in practice, including a summary of ongoing work to address these open challenges and opportunities. Table of Contents: Automating Inquiry / Uncertainty Sampling / Searching Through the Hypothesis Space / Minimizing Expected Error and Variance / Exploiting Structure in Data / Theory / Practical Considerations

Probabilistic Graphical Models For Genetics Genomics And Postgenomics

Author : Raphaël Mourad
ISBN : 9780191019203
Genre : Mathematics
File Size : 70. 19 MB
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Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.

Author : Robert B. Cialdini
ISBN : 9789960547466
Genre : Business & Economics
File Size : 37. 65 MB
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التأثير, الكتاب الكلاسيكي حول عملية الإقناع, يشرح مبادئ علم النفس التي تقف وراء قول الناس «نعم» لأي طلب كان, كما يشرح كيفية تطبيق فهم هذه المبادئ. الدكتور روبرت سيالديني مدرّس خبير في حقلي التأثير والإقناع المتناميين بسرعة. إن هذا الكتاب الذي ينظر إليه في الأوساط العلمية نظرة مرموقة جداً؛ فهو حصيلة خمس وثلاثين سنة من الأبحاث الدقيقة المعتمدة على الأدلة القوية، إضافة إلى برنامج استمر ثلاث سنوات من الدراسة الميدانية لما يدفع الناس إلى تغيير سلوكهم. سوف نتعلم المبادئ الستة الأساسية, وكيف نستعملها كي نصبح مهرة في فن الإقناع- وكيف ندافع عن أنفسنا ضد من يحاول أن يستغلنا بإقناعنا بما يريد. هذا الكتاب مثالي لجميع الناس العاملين في جميع نواحي الحياة. سوف تغيّر مبادئ التأثيرشخصيتك تغييراً إيجابياً قوياً وتقودك نحو النجاح. العبيكان للنشر

Proceedings Of The Mathematics Conference

Author : Allen Fathi
ISBN : 9789814543095
Genre : Mathematics
File Size : 28. 8 MB
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This volume covers topics ranging from pure and applied mathematics to pedagogical issues in mathematics. There are papers in mathematical biology, differential equations, difference equations, dynamical systems, orthogonal polynomials, topology, calculus reform, algebra, and numerical analysis. Most of the papers include new, interesting results that are at the cutting edge of the respective subjects. However, there are some papers of an expository nature.

Doing Data Analysis With Spss Version 16 0

Author : Robert Carver
ISBN : 9780495556510
Genre : Mathematics
File Size : 52. 6 MB
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Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Author : كريمان بدير
ISBN :
Genre :
File Size : 35. 96 MB
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