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Neil J. Salkind - Study Guide to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics

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Neil J. Salkind Study Guide to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics
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    Study Guide to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics
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Study Guide to Accompany Salkind and Frey′s Statistics for People Who (Think They) Hate Statistics: summary, description and annotation

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This Student Study Guide includes chapter outlines, chapter summaries, learning objectives, key terms, true/false, short answer and essay questions. Exercises are also included for students to test and apply their knowledge. Answers to all questions are also included. The Study Guide for the Seventh Edition matches the organization of the current Salkind and Frey text.

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Study Guide to Accompany Salkind and Freys Statistics for People Who (Think They) Hate Statistics

7 Edition

Sara Miller McCune founded SAGE Publishing in 1965 to support the dissemination of usable knowledge and educate a global community. SAGE publishes more than 1000 journals and over 800 new books each year, spanning a wide range of subject areas. Our growing selection of library products includes archives, data, case studies and video. SAGE remains majority owned by our founder and after her lifetime will become owned by a charitable trust that secures the companys continued independence.

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Study Guide to Accompany Salkind and Freys Statistics for People Who (Think They) Hate Statistics

7 Edition

  • Neil J. Salkind
  • Bruce B. Frey
  • The University of Kansas
  • Prepared by Karin Lindstrom Bremer
  • Minnesota State University, Mankato
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  • Los Angeles
  • London
  • New Delhi
  • Singapore
  • Washington DC
  • Melbourne

Copyright 2020 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.

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FOR INFORMATION:

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General Outline

Following is a general outline showing the sequence of content presented for each chapter.

  • Chapter Outline
  • Learning Objectives
  • Summary/Key Points
  • Key Terms
  • True/False Questions
  • Multiple-Choice Questions
  • Exercises
  • Short-Answer/Essay Questions
  • SPSS Questions
  • Just for Fun/Challenge Yourself
  • Answer Key

IBM SPSS Statistics is a registered trademark of International Business Machines Corporation.

Statistics or Sadistics? Its Up to You
Chapter Outline
  • Why Statistics?
    • And Why SPSS?
  • A 5-Minute History of Statistics
  • Statistics: What It Is (and Isnt)
    • What Are Descriptive Statistics?
    • What Are Inferential Statistics?
    • In Other Words
  • What Am I Doing in a Statistics Class?
  • Ten Ways to Use This Book (and Learn Statistics at the Same Time!)
  • About the Books Features
  • Key to Difficulty Icons
  • Glossary
  • Summary
  • Time to Practice
Learning Objectives
  • Understand the purpose and scope of statistics.
  • Review (briefly) the history of statistics.
  • Get an introduction to descriptive and inferential statistics.
  • Review the benefits of taking a statistics course.
  • Learn how to use and apply this book.
Summary/Key Points
Introduction to Part I
  • Researchers in a very wide variety of fields use statistics to make sense of the large sets of data they collect in studying a great number of interesting problems.
    • Michelle Lampl, a pediatrician and anthropologist, has studied the growth of infants, finding that some infants can grow as much as 1 inch overnight.
    • Sue Kemper, a professor of psychology, has studied the health of nuns, finding that the complexity of the nuns writing during their early 20s is related to risk for Alzheimers disease as many as 70 years later.
    • Aletha Huston, a researcher and teacher, has found that children who watch educational programs on television do better in school than those who dont.
  • Statistics can be defined as the science of organizing and analyzing information, making that information easier to understand.
  • Statistics are used to make sense of often large and unwieldy sets of data.
  • Statistics can be used in any field to answer a very wide variety of research questions and hypotheses.
A Brief History of Statistics
  • Far back in human history, collecting information became an important skill.
  • Once numbers became part of human language, they began to be attached to outcomes. In the 17th century, the first set of data relating to populations of people was collected.
  • Once sets of data began to be collected, scientists needed to develop specific tools to answer specific questions. This led to the development of statistics.
  • In the early 20th century, the simplest test for examining the differences between the averages of two groups was developed.
  • The development of powerful and relatively inexpensive computers has revolutionized the field of statistics. While individuals can now conduct complex and computationally intensive statistical analyses with their own computers, they can potentially run analyses incorrectly or arrive at incorrect conclusions regarding their results.
  • Today, researchers from a wide variety of fields use basically the same techniques, or statistical tests, to answer very different questions. This means that learning statistics enables you to conduct quantitative research in almost any field.
Statistics: What It Is (and Isnt)
  • Statistics describes a set of tools and techniques that is used for describing, organizing, and interpreting information or data. It helps us understand the world around us.
  • Descriptive statistics are used to organize and describe the characteristics of a collection of data. The collection is sometimes called a data set or just data.
  • Inferential statistics are often (but not always) carried out after descriptive statistics. They are used to make inferences from a smaller group of data to a larger one. An example is using results from one kindergarten classroom to infer, or generalize, about a population of a whole kindergarten grade.
  • A sample is a portion or subset of a larger population. Data from samples may be used for description only, or to generalize something about the larger population.
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