Statistics: Modeling with Data Casebook (Download)

  • Statistics: Modeling with Data Casebook (Download)

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    Product Details

    Stock # 15050
    ISBN # 978-0-87353-958-6
    Published 10/02/2018
    Pages 182
    Grades 3rd to 5th
    6th to 8th
    Pre K to 2nd

    See What's Inside

    Table of Contents (PDF)
    Preface (PDF)
    Read an Excerpt (PDF)

    Product Description

    Susan Jo Russell, Deborah Schifter, and Virginia Bastable

    The Modeling with Data Casebook was developed as the key resource for participants’ Developing Mathematical Ideas seminar experience. The twenty-eight cases, written by teachers describing real situations and actual student thinking in their classrooms, provide the basis of each session’s exploration of using data to model real-world contexts by collecting, representing, describing, and interpreting data.

    Reading and discussing the cases under the guidance of the facilitator actively engages participants in their own learning enterprise as they—

      • learn to recognize the key mathematical ideas with which students are grappling;

          • consider the types of classroom settings and teaching strategies that support the development of student understanding;

              • become aware of how core mathematical ideas develop across the grades;

                  • work on mathematical concepts and gain better understanding of mathematical content;

                      • deepen their own understanding of the Common Core standards for mathematical practice and how to engage their students in them; and

                          • discover how to continue learning about children and mathematics.

                            The casebook is composed of eight chapters: the first seven consist of classroom cases spanning the elementary grades; chapter 8 is an essay providing an overview of the research related to the situations described in the first seven chapters. The chapters are as follows:

                            Chapter 1       Getting started with data

                            Chapter 2       Designing a data investigation: What do you want to find out?

                            Chapter 3       Categorical data: Representing and describing the results

                            Chapter 4       Numerical data: What do the numbers mean?

                            Chapter 5       Comparing data sets

                            Chapter 6       Average: Developing ideas about “middle”

                            Chapter 7       Average: Understanding the mean

                            Chapter 8       Highlights of related research

                             

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