Navigating Data Analysis, Grades 9-12


Authors: 
Burrill, G., Franklin, C., Godbold, L., & Young, L.
Type: 
Category: 
Year: 
2004
Publisher: 
National Council of Teachers of Mathematics, Reston
Abstract: 

The activities in this book introduce students to simple random sampling, sampling techniques, and simulation as a tool for analyzing both categorical and numerical data. Scenarios probe topics of interest to high school students, including possible workplace discrimination against women and links between vegetarian diets and blood cholesterol levels. As students work, they learn what makes a well-designed study; how to distinguish among observational studies, surveys, and experiments; and when statistical inference is permissible. The supplemental CD-ROM features interactive electronic activities, master copies of activity pages for students, and additional readings for teachers.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education