Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II)

Oct 12, 2026

Uploaded by Liam

Second edition framework for Pre-K–12 statistics education focused on building students’ data literacy and statistical literacy. The guidelines provide curriculum and implementation recommendations, structured through a progression of levels and component essentials. It includes introductions, learning essentials, and multiple illustrative examples for conducting surveys, summarizing and comparing data, running simple experiments, using secondary data, and exploring time series and association. The book also outlines summaries for each level to support cohesive instructional design.

LanguageEnglish

CategoryGeneral

FormatPDF

Pages126

Reading Time44 min

AccessFree to download

Acknowledgments

Preface

Introduction

Framework

Level A

Essentials for Each Component

Example 1: Choosing the Band for the End of the Year Party – Conducting a Survey and Summarizing Data

Example 2: Family Size-Mean as Equal/Fair Share and Variability as Number of Steps

Example 3: What do Ladybugs Look Like – Collecting, Summarizing, and Comparing Data

Example 4: Growing Beans – A Simple Comparative Experiment

Example 5: Growing Beans (Continued)– Time Series

Example 6: CensusAtSchool – Using Secondary Data and Looking at Association

Summary of Level A

Level B

Essentials for Each Component

Example 1: Level A Revisited: Choosing the Music for the School Dance – Multivariable and Larger Groups

Example 2: Choosing Music for the School Dance (Continued)– Comparing Groups

Example 3: Choosing Music for the School Dance (Continued)– Connecting Two Categorical Variables

Example 4: Darwin’s Finches – Comparing a Quantitative Variable Across Groups

Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) A Framework for Statistics and Data Science Education Writing Committee Anna Bargagliotti (co-chair) Loyola Marymount University Christine Franklin (co-chair) American Statistical Association Pip Arnold Karekare Education New Zealand Sheri Johnson University of Georgia* Leticia Perez University of California Los Angeles Center X Denise A. Spangler University of Georgia Rob Gould University of California Los Angeles The Pre-K–12 Guidelines for Assessment and Instruction in Statistics Education II (GAISEII) is an official position of the National Council of Teachers of Mathematics as approved by the NCTM Board of Directors, February 2020. Endorsed by the American Statistical Association, November 2020. *Current affiliation-The Mount Vernon School Library of Congress Cataloging-in-Publication Data Names: Bargagliotti, Anna, author. Title: Pre-K–12 guidelines for assessment and instruction in statistics education II (GAISE II) / writing committee, Anna Bargagliotti (co-chair), Loyola Marymount University, Christine Franklin (co-chair), American Statistical Association, Pip Arnold, Karekare Education New Zealand, Rob Gould, University of California Los Angeles, Sheri Johnson, University of Georgia, Leticia Perez, University of California Los Angeles, Denise A. Spangler, University of Georgia. Other titles: Guidelines for assessment and instruction in statistics education (GAISE) report Description: Second edition. | Alexandria, VA : American Statistical Association, 2020. | Includes bibliographical references. | Summary: “This document lays out a curriculum framework for Pre-K–12 educational programs that is designed to help students achieve data literacy and become statistically literate. The framework and subsequent sections in this book recommend curriculum and implementation strategies covering Pre-K–12 statistics education”--Provided by publisher. Identifiers: LCCN 2020006082 | ISBN 9781734223514 (paperback) Subjects: LCSH: Statistics--Study and teaching (Early childhood)--Standards. | Statistics--Study and teaching (Elementary)--Standards. | Statistics--Study and teaching (Secondary)--Standards. Classification: LCC QA276.18 .G85 2020 | DDC 519.5071/2--dc23 LC record available at [https://lccn.loc.gov/2020006082](https://lccn.loc.gov/2020006082) ©2020 by American Statistical Association Alexandria, VA 22314 All rights reserved. No part of this book may be reproduced, in any form or by any means, without permission in writing from the publisher. Printed in the United States of America 10 9 8 7 6 5 4 3 2 1 978-1-7342235-1-4 Contents Acknowledgments ............................................................................................................................ v Preface ................................................................................................................................................ 1 Introduction ........................................................................................................................................5 Framework........................................................................................................................................ 13 Level A ...............................................................................................................................................21 Introduction ............................................................................................................................................ 22 Essentials for Each Component ............................................................................................................ 22 Example 1: Choosing the Band for the End of the Year Party – Conducting a Survey and Summarizing Data ........................................................................ 24 Example 2: Family Size-Me

FAQs

What is the purpose of GAISE II for Pre-K–12 statistics education?

It lays out a curriculum framework intended to help students achieve data literacy and become statistically literate.

What types of curriculum guidance does the framework provide?

It recommends curriculum and implementation strategies covering Pre-K–12 statistics education, organized through a framework and level-based components.

What learning activities are included in the examples within the levels?

The contents include examples such as conducting surveys, summarizing and comparing data, running comparative experiments, using secondary data, and exploring time series and associations.

Oct 12, 2026

Uploaded by Liam