Volume 32 (Summer 2010)

Contents of 32-2

Summer2010_Vol32_I2

Understanding of Patterns, Streaks and Independence by Grade School Children P34 Carolyn Ridgway and Derry Ridgway
Using sequences of coin flips as a model of serial independent events, we asked schoolchildren in grades 1 through 5 to estimate the likelihood of the next flip. Most children in each grade expected short patterns to continue.

Analysing the World Population: Using Population Pyramids and If the World Were a Village P41 Joanne Caniglia and Barbara Leapard
The book If the World Were a Village, by David J. Smith, is the context for analysing and creating graphs of the world’s demographic information. Students examine numerical information regarding the more than six billion world inhabitants by imagining the world’s population as 100 people.

Engaging Probability Students in Playing and Analysing a Simple Card Game P45 Robert J. Quinn, Tom S. Ball and Zhixia You
We present a simple card game whose payout depends on a player’s strategy, as well as on chance. Solutions require the use of conditional analysis and the computation of expected values.

Hypothesis Testing Using the Films of The Three Stooges P49 Robert Gardner and Robert Davidson
The use of The Three Stooges’ films as a source of data in an introductory statistics class is described. The Stooges’ films are separated into three populations. Using these populations, students may conduct hypothesis tests with data they collect.

On the Attainability of Bounds on the Standard Deviation P54
Kevin Hayes
This article considers prototype data sets that attain lower and upper bounds on the standard deviation in terms of the range.

Pass the Globe: Teaching Bootstrapping Without Using a Computer P57 A. Alexander Beaujean and Susan Cooper-Twamley
While bootstrapping is a computationally intensive procedure, teaching about the concept does not necessarily require any more technology than a simple calculator. This article describes an interactive teaching approach for introducing bootstrapping without using a statistics program or a computer.

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