JSM 2005 - Toronto

Abstract #304185

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 369
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Education
Abstract - #304185
Title: Teaching the Consequences of Data Transformations
Author(s): Christopher Malone*+ and Brant Deppa
Companies: Winona State University and Winona State University
Address: PO Box 5838, Winona, MN, 55987, United States
Keywords: Transformations ; Teaching ; Interpretation ; Response

Do students understand the consequences of data transformations on the interpretation of the results? Data transformations often are discussed as a means to improve model assumptions (e.g., to achieve approximate normality of the response or to stablilize error variances). In this talk, we will discuss the implications of data transformations on the interpretation of common univariate and bivariate analyses. For example, a discussion of how a transformation of the response when doing a two-sample t-test leads to inference on the ratio of the two population medians will be given.

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