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Activity Number: 210
Type: Contributed
Date/Time: Monday, August 7, 2006 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Education
Abstract - #306325
Title: Statistical Analysis of Aphid Data: a Case Study for AP Statistics
Author(s): James Matis*+ and Thomas Kiffe and Timothy Matis and Douglass Stevenson
Companies: Texas A&M University and Texas A&M University and Texas Tech University and Texas A&M University
Address: Department of Statistics, College Station, TX, 77843-3143,
Keywords: introductory statistics
Abstract:

Aphids cause more worldwide economic damage than any other insect pest. This poster illustrates the use of some standard statistical tools for the analysis of an exceptional data set on the pecan aphid. The four parts of the AP syllabus, here called Regular AP Statistics (RAPS), namely exploring data, planning a study, producing models, and confirming models, are demonstrated. Five concepts from Beyond AP Statistics (BAPS), specifically randomized block design, multiple linear regression, nonlinear regression, differential equations models, and stochastic processes, are also illustrated. The aphid is parthenogenetic, which is a unique reproductive system in the insect world. We suggest that the data analysis of this fascinating and economically important insect could form a very interesting unifying problem for the whole AP statistics course.


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