Table of contents for Thinking and reasoning with data and chance / Gail F. Burrill, sixty-eighth yearbook editor, Portia C. Elliott, general yearbook editor.

Bibliographic record and links to related information available from the Library of Congress catalog.

Note: Contents data are machine generated based on pre-publication provided by the publisher. Contents may have variations from the printed book or be incomplete or contain other coding.


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Contents
Preface	
PART 1: LEARNING ABOUT DATA AND CHANCE 
1.	Graphing with Four-Year-Olds: Exploring the Possibilities through
 	Staff Development	
	Sydney L. Schwartz
	Queens College of the City University of New York
	Flushing, New York
	David J. Whitin
	Wayne State University
	Detroit, Michigan
2.	What Does It Mean That ¿5 Has a Lot¿? From the World to Data and Back	
	Susan Jo Russell
	TERC
	Cambridge, Massachusetts
3.	Learning to Talk Back to a Statistic	
	David J. Whitin
	Wayne State University
	Detroit, Michigan
4.	Engaging Students in Authentic Data Analysis	
	Randall E. Groth
	Salisbury University
	Salisbury, Maryland
5.	Students¿ Probabilistic Thinking Revealed: The Case of Coin Tosses	
	Laurie H. Rubel
	Brooklyn College of the City University of New York
	Brooklyn, New York
6.	Assessing the Development of Important Concepts in Statistics and 
Probability	
	Jane M. Watson
	University of Tasmania
	Hobart, Tasmania, Australia
7.	Research on Students¿ Understanding of Some Big Concepts in Statistics	
	J. Michael Shaughnessy
	Portland State University
	Portland, Oregon
PART 2: REASONING WITH DATA AND CHANCE
8.	A Statistical Study of Generations	
	Henry Kranendonk
	Milwaukee Public Schools
	Milwaukee, Wisconsin
	Roxy Peck
	California Polytechnic State University
	San Luis Obispo, California
9.	More than ¿Meanmedianmode¿ and a Bar Graph: What¿s Needed to
	Have a Statistical Conversation?	
	Susan N. Friel
	University of North Carolina at Chapel Hill
	Chapel Hill, North Carolina
William O¿Connor
Duke SchoolDurham, North Carolina James D. Mamer
Rockway Elementary School
Springfield, Ohio 
10.	When Data and Chance Collide: Drawing Inferences from Empirical
	Data	
	James E. Tarr
	University of Missouri
	Columbia, Missouri
	Hollylynne Stohl Lee
	North Carolina State University
	Raleigh, North Carolina
	Robin L. Rider
	East Carolina State University
	Greenville, North Carolina
11.	Experimental Design: Learning to Manage Variability	
	Daniel J. Teague
	North Carolina School of Science and Mathematics
	Durham, North Carolina
12.	¿We Were Nicer, but We Weren¿t Fairer!¿ Mathematical
	Modeling Exploring ¿Fairness¿ in Data Management	
	Susan London McNab
	Ontario Institute for Studies in Education of the University of Toronto
	Toronto, Ontario
	Joan Moss
	Ontario Institute for Studies in Education of the University of Toronto
	Toronto, Ontario
Earl Woodruff
Ontario Institute for Studies in Education of the University of Toronto
Toronto, Ontario
Rod Nason
Queensland University of Technology
Brisbane, Queensland, Australia
13.	Using Real Data and Technology to Develop Statistical Thinking	
	Doreen Connor
	Royal Statistical Society Centre for Statistical Education, Nottingham 
Trent 
University
	Nottingham, United Kingdom
	Neville Davies
	Royal Statistical Society Centre for Statistical Education, Nottingham 
Trent 
University
	Nottingham, United Kingdom
	Peter Holmes
	Royal Statistical Society Centre for Statistical Education, Nottingham 
Trent 
University
	Nottingham, United Kingdom
14.	Using Regression to Connect Algebra to the Real World	
	Jim Bohan
	Lancaster-Lebanon Intermediate Unit #13
	East Petersburg, Pennsylvania
15.	Using Data to Motivate Functions: Data Analysis in the 
	Precalculus Curriculum	
	Peter Flanagan-Hyde
	Phoenix Country Day School
	Paradise Valley, Arizona
	John Lieb
	Roxbury Latin School
	West Roxbury, Massachusetts
16.	Changing the Image of Statistical Data Analysis in the Middle Grades: 
	Students¿ Thinking as a Venue for Teachers¿ Learning	
	Kay McClain
	Vanderbilt University
	Nashville, Tennessee
	Julie Leckman
	Madison Number One Middle School
	Phoenix, Arizona
	Paula Schmitt
	Madison Meadows Middle School
	Phoenix, Arizona
	Troy Regis
	University of Missouri
	Columbia, Missouri
17.	Understanding Data through New Software Representations	
	Andee Rubin
	TERC
	Cambridge, Massachusetts
	James K. Hammerman
	TERC
	Cambridge, Massachusetts
18.	Using Graphing Calculator Simulations in Teaching Statistics	
	Mike Koehler
	Blue Valley North High School
	Overland Park, Kansas
19.	What Is Statistical Thinking and How Is It Developed?	
	Sharon J. Lane-Getaz
	University of Minnesota
	Minneapolis, Minnesota
20.	Using Graphing Calculators to Redress Beliefs in the ¿Law of 
	Small Numbers¿	
	Alfinio Flores
	Arizona State University
	Tempe, Arizona
PART 3: REFLECTING ON ISSUES RELATED TO DATA AND CHANCE
21.	Statistics and Mathematics: On Making a Happy Marriage	
	Richard L. Scheaffer
	University of Florida, Emeritus 
	Gainesville, Florida
22.	Some Important Comparisons between Statistics and Mathematics, and
	Why Teachers Should Care	
	Allan Rossman
	California Polytechnic State University
	San Luis Obispo, California
	Beth Chance
	California Polytechnic State University
	San Luis Obispo, California
	Elsa Medina
	California Polytechnic State University
	San Luis Obispo, California
23.	The Statistical Education of Pre-K¿2 Teachers: A Shared Responsibility	
	Christine A. Franklin
	University of Georgia
	Athens, Georgia
	Denise S. Mewborn
	University of Georgia
	Athens, Georgia
24.	The GAISE Project: Developing Statistics Education Guidelines for 
	Pre-K¿12 and College Courses	
	Christine Franklin
	University of Georgia
	Athens, Georgia
	Joan Garfield
	University of Minnesota
	Minneapolis, Minnesota
25.	Why Variances Add¿and Why It Matters	
	Paul F. Velleman
	Cornell University
	Ithaca, New York
	David Bock
	Cornell University
	Ithaca, New York
26.	Bootstrapping Students¿ Understanding of Statistical Concepts	
	Tim Hesterberg
	Insightful Corporation
	Seattle, Washington
27.	Interpreting Probabilities and Teaching the Subjective Viewpoint	
	Jim Albert
	Bowling Green State University
	Bowling Green, Ohio
28.	Assessments, Change, and Exploratory Data Analysis	
	John A. Dossey
	Illinois State University, Emeritus
	Normal, Illinois
29.	Fish ¿n Chips: A Pedagogical Path for Using an In-Class 
	Sampling Experiment	
	Heather A. Thompson
	Iowa State University
	Ames, Iowa
	Gail Johnston
	Iowa State University
	Ames, Iowa
	Tamara Pfantz
	Iowa State University
	Ames, Iowa
30.	Research in the Statistics Classroom: Learning from Teaching Expeiments	
	Dani Ben-Zvi
	University of Haifa
	Mount Carmel, Haifa, Israel
	Joan Garfield
	University of Minnesota
	Minneapolis, Minnesota
	Andrew Zieffler
	University of Minnesota
	Minneapolis, Minnesota

Library of Congress Subject Headings for this publication:

Probabilities.
Chance.
Mathematical analysis.
Mathematical statistics.