Education Commons^™

An Activity Promoting The Practice Of Quantitative Literacy For Pre– And In–Service Teachers Of Mathematics And Science, Timothy L. Sorey, Teri Willard, Duane Sholz

Numeracy

The purpose of this article is to describe a hands-on, laboratory activity that provided pre-service teachers in mathematics and science methods courses, and also some in-service mathematics teachers, with the opportunity to exercise quantitative literacy (QL) skills. The focus of the activity is electrical resistance, more particularly the resistance (in ohms) that is painted on small resistors by the use of color-coded bands, one of which is a band for % error. The activity consists of four parts. In the first, student teams familiarize themselves with the code, measure the ohmage of resistors for which the codes are visible, and …

Are Statistics Labs Worth The Effort?--Comparison Of Introductory Statistics Courses Using Different Teaching Methods, Jose H. Guardiola, Nadina Duran-Hutchings, Hassan Elsalloukh

Numeracy

This paper compares the academic performance of students in three similar elementary statistics courses taught by the same instructor, but with the lab component differing among the three. One course is traditionally taught without a lab component; the second with a lab component using scenarios and an extensive use of technology, but without explicit coordination between lab and lecture; and the third using a lab component with an extensive use of technology that carefully coordinates the lab with the lecture. Extensive use of technology means, in this context, using Minitab software in the lab section, doing homework and quizzes using …

Cedarville Vs. Indiana Wesleyan, Cedarville University

Men's Soccer Statistics

No abstract provided.

Grace Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Mt. Vernon Nazarene Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Walsh Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Malone, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Daemen, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Point Park, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Rio Grande, Cedarville University

Men's Soccer Statistics

No abstract provided.

Houghton Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Roberts Wesleyan Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Notre Dame Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

2009 Men's Soccer Game-By-Game Goals-Assists-Points, Cedarville University

Men's Soccer Statistics

No abstract provided.

2009 Men's Soccer Individual Career History, Cedarville University

Men's Soccer Statistics

No abstract provided.

2009 Men's Soccer Category Leaders, Cedarville University

Men's Soccer Statistics

No abstract provided.

2009 Men's Soccer High/Low Analysis, Cedarville University

Men's Soccer Statistics

No abstract provided.

2009 Men's Soccer Individual Career History, Cedarville University

Men's Soccer Statistics

No abstract provided.

Wittenberg Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Shawnee State, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Geneva, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Marian, Cedarville University

Men's Soccer Statistics

No abstract provided.

Mid-Continent Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Bryan Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

Cedarville Vs. Grove City, Cedarville University

Men's Soccer Statistics

No abstract provided.

Denison Vs. Cedarville, Cedarville University

Men's Soccer Statistics

No abstract provided.

The Design And Development Of A Statistics Performance Support System: An Application Of Behavioral Modeling And Case Based Reasoning, Isaku Tateishi

Theses and Dissertations

The following report is a description of the design, development, and evaluation of an online statistics performance support system. The target audience for the support system is students of Instructional Psychology and Technology (IP&T), especially those who have taken the IP&T 550 "Empirical Inquiry and Statistics" course. The product is designed to be used as a supplemental reference tool. The main purpose of the online performance support system is to help IP&T students select appropriate statistical procedures for their research and learn how to perform the necessary calculations using a statistics analysis software package called SPSS. This report summarizes the …

Review Of Super Crunchers By Ian Ayers, Eric Gaze

Numeracy

Ayers, I. Super Crunchers: Why Thinking-by-Numbers Is the New Way to be Smart. (Bantam Dell Publishing Group, 2007). 272 pp. Hard cover $25 ISBN 978-0-553-80540-6.

Super Crunchers tells the story of how analyzing data is changing the ways in which decisions are made. We in the National Numeracy Network make a case for the importance of quantitative literacy by referring to how much quantitative information is now available to each of us: “a world awash in numbers.” Ian Ayres zeroes in on the people who are making a living crunching all of these data. From the seemingly innocuous (how …

Measuring Resource Inequality: The Gini Coefficient, Michael T. Catalano, Tanya L. Leise, Thomas J. Pfaff

Numeracy

This paper stems from work done by the authors at the Mathematics for Social Justice Workshop held in June of 2007 at Middlebury College. We provide a description of the Gini coefficient and some discussion of how it can be used to promote quantitative literacy skills in mathematics courses. The Gini Coefficient was introduced in 1921 by Italian statistician Corrado Gini as a measure of inequality. It is defined as twice the area between two curves. One, the Lorenz curve for a given population with respect to a given resource, represents the cumulative percentage of the resource as a function …

2009 Nsu Fact Book, Nova Southeastern University

NSU Fact Book

This 17th edition of the Nova Southeastern University Fact Book reflects expanding body of data and information that provides perspective on the university's character, growth, and accomplishments. The 2009 Fact Book continues to provide narrative, numeric, and graphic representation of the university, including history, characteristics, and developments of the institution, Data are presented in both tabular and graphic formats tp provide pertinent detail, and general trends highlighted.