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Kieth A. Carlson - An Introduction to Statistics: An Active Learning Approach, 2nd Edition

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Kieth A. Carlson An Introduction to Statistics: An Active Learning Approach, 2nd Edition
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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.

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An Introduction to Statistics Second Edition An Introduction to Statistics - photo 1
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An Introduction to Statistics

Second Edition

An Introduction to Statistics An Active Learning Approach Second Edition - photo 3
An Introduction to Statistics

An Active Learning Approach

Second Edition

  • Kieth A. Carlson
  • Valparaiso University
  • Jennifer R. Winquist
  • Valparaiso University
FOR INFORMATION SAGE Publications Inc 2455 Teller Road Thousand Oaks - photo 4
FOR INFORMATION SAGE Publications Inc 2455 Teller Road Thousand Oaks - photo 5

FOR INFORMATION:

SAGE Publications, Inc.

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Copyright 2018 by SAGE Publications, Inc.

All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.

All trademarks depicted within this book, including trademarks appearing as part of a screenshot, figure, or other image are included solely for the purpose of illustration and are the property of their respective holders. The use of the trademarks in no way indicates any relationship with, or endorsement by, the holders of said trademarks. SPSS is a registered trademark of International Business Machines Corporation.

Printed in the United States of America

Library of Congress Cataloging-in-Publication Data

Names: Carlson, Kieth A., author. | Winquist, Jennifer R., author.

Title: Introduction to statistics : an active learning approach / Kieth A. Carlson & Jennifer R.Winquist, Valparaiso University.

Description: Second edition. | Los Angeles : SAGE, [2018] | Includes bibliographical references and index.

Identifiers: LCCN 2016039108 | ISBN 9781483378732 (pbk. : alk. paper)

Subjects: LCSH: Social sciencesStatistical methods. | Statistics.

Classification: LCC HA29 .C288 2018 | DDC 519.5dc23 LC record available at https://lccn.loc.gov/2016039108

This book is printed on acid-free paper.

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Acquisitions Editor:Abbie Rickard

Editorial Assistant: Alexander Helmintoller

eLearning Editor:Morgan Shannon

Production Editor:Kelly DeRosa

Copy Editor:Gillian Dickens

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Proofreader:Jeanne Busemeyer

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Cover Designer:Rose Storey

Marketing Manager:Katherine Hepburn

Contents
Detailed Contents
Preface
The Story of This Text

Several years ago, we attended a teaching workshop in which the speaker described a common experience in college classrooms and the pedagogical problems it frequently creates. Instructors carefully define basic concepts (e.g., population, sample) and gradually progress to applying those concepts to more complex topics (e.g., sampling error) as the end of class approaches. Then students attempt homework assignments covering the more complicated topics. All too frequently, students think they understand things while listening to us in class, but when they attempt homework on their own, they have difficulty. While some students can eventually figure things out, others become frustrated; still others give up. The teaching workshop made us recognize, reluctantly, this happened to us (and our students) in our statistics classes. While we did our best to address this problem by refining our lectures, our students still struggled with homework assignments, and we were disappointed with their exam performance. Students frequently said to us, I understand it when you do it in class, but when I try it on my own it doesnt make sense. This common experience motivated us to change our stats classes and, eventually, to write the first edition of this text.

We decided that we needed to change our course so that

  1. students came to class understanding basic concepts and
  2. students had an opportunity to use challenging concepts in class when we were there to answer their questions immediately,
  3. students started to interpret and report statistical results like researchers.

We started by emphasizing the importance of actually reading the text before class. Even though we were using excellent statistics texts, many students insisted that they needed lectures to help them understand the text. Eventually, we opted for creating our own readings that emphasize the basics (i.e., the easy stuff). We embedded relatively easy reading questions to help students read with purpose so they came to class understanding the basic concepts. Next, over several years, we developed activities that reinforced the basics as well as introduced more challenging material (i.e., the hard stuff). Hundreds of students completed these challenging activities in our courses. After each semester, we strove to improve every activity based on our students feedback and exam performance.

Our statistics courses are dramatically different from what they were a decade ago. In our old classes, few students read prior to class, and most class time was spent lecturing on the material in the book. In our current stats courses, students answer online reading questions prior to class, we give very brief lectures at the beginning of class, and students complete activities (i.e., assignments) during class. Weve compared our current students attitudes about statistics to those taking our more traditional statistics course (Carlson & Winquist, 2011) and found our current students to be more confident in their ability to perform statistics and to like statistics more than their peers. Weve also learned that after completing this revised statistics course, students score nearly a half a standard deviation higher on a nationally standardized statistics test that they take during their senior year (approximately 20 months after taking the course) compared to students taking the more traditional course (Winquist & Carlson, 2014).

Of course, not all our students master the course material. Student motivation still plays an important part in student learning. If students dont do the reading or dont work on understanding the assignments in each chapter, they will still struggle. In our current courses, we try to create a class that encourages students to read and complete the assignments by giving points for completing them. We have found that, if students do these things, they do well in our courses. We have far fewer struggling students in our current courses than we had in our traditional course, even though our exams are more challenging.

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