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Activity Number: 169
Type: Contributed
Date/Time: Monday, August 3, 2009 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract - #304634
Title: Confidence Intervals Using SOCR
Author(s): Nicolas Christou*+ and Ivo D. Dinov
Companies: University of California, Los Angeles and University of California, Los Angeles
Address: 8125 Math Sciences Bldg., Los Angeles, CA, 90095,
Keywords: SOCR ; confidence interval ; java applets ; simulations ; sample size ; Internet
Abstract:

In this paper, we will demonstrate simulation, construction, validation and interpretation of confidence intervals, under various assumptions, using the interactive web-based tools provided by the Statistics Computational Resource (www.SOCR.cla.edu). The confidence interval examples include intervals for the population mean, with known or unknown population standard deviation; population variance; population proportion (exact and approximate), as well as confidence intervals based on the asymptotic properties of the maximum likelihood estimates. Like all SOCR resources, these confidence interval applets may be openly accessed via an Internet-connected Java-enabled browser. The SOCR confidence interval applet enables the user to empirically explore and investigate the effect of the confidence-level, the sample-size and parameter of interest on the corresponding confidence interval.

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