Measures of Center and Spread

Studying the Evolution of Students' Conceptions of Variation Using the Transformative and Conjecture-Driven Research Design

This paper summarizes a research study conducted on first year college level students taking an introductory statistics course. There are many interesting and applicable findings for high school statistics. The article focuses on studentsí thinking on variability, what students can do and transitions in their understandings. Many examples are given including, box plots, histograms, sample, center and spread. These finding could supplement sections II and IV.

Bibliographic Citation: 
Meletiou-Maurotheris, Maria (Cyprus Ministry of Education), Lee, Carl (Department of Mathematics, Central Michigan University), Studying the Evolution of Studentsí Conceptions of Variation Using the Transformative and Conjecture-Driven Research Design. To download PDF resource online: http://www.cst.cmich.edu/users/lee1c/SRTL3/SRLT_3_papers/SRTL-Meletiou%20and%20Lee-10-2003.pdf

Statistical Literacy at School: Growth and Goals

This book illustrates the development of studentsí understanding of statistical concepts. The author gives many examples that highlight how students think about important statistical concepts and supports findings based on research. Student thinking is explained in relation to a variety of tasks based on sampling, graphical representations, averages and chance. This resource could be used to supplement the readings from section I, II, III and IV.

Bibliographic Citation: 
Watson, Jane M., Statistical Literacy at School: Growth and Goals (2006) Mahwah, NJ: Lawrence Erlbaum Associates.

Making Sense of Graphs: Critical Factors Influencing Comprehension and Instructional Implications

This article outlines critical factors that appear to influence graph comprehension and identifies instructional implications. The factors identified are purpose, task characteristics, discipline characteristics and reader characteristics. A sequence for ordering the introduction of graphs is proposed and ways instruction may be modified to promote graph sense making. This article would be a good addition to sections II and IV.

Bibliographic Citation: 
Friel, Susan N., Curcio, Frances R., Bright, George W. (2001). Making Sense of Graphs: Critical Factors Influencing Comprehension and Instructional Implications. Journal for Research in Mathematics Education March Issue: 124-158

Learning Math: Data Analysis, Statistics and Probability

A video instructional series on statistics. 26 half hour video programs are available with an emphasis on doing statistics. The series is designed and organized around the NCTM content standards. The video clips and supporting resources are developed for elementary and middle school teachers looking to enhance their own understanding of statistical concepts. A great resource to use in conjunction with the readings from section I.

Bibliographic Citation: 
WGBH Education Foundation (2003). Annenberg Media Learner.org To view these video clips: http://www.learner.org/resources/series158.html
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