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Activity Number: 523 - Fresh Approaches to Statistical Pedagogy
Type: Contributed
Date/Time: Wednesday, August 1, 2018 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Education
Abstract #328900 Presentation
Title: On Assessing Large Sample Properties of Estimators: An Empirical Approach
Author(s): Sadia Sarker* and Khairul Islam
Companies: Eastern Michigan University and Eastern Michigan University
Keywords: Law of large number; central limit theorem; asymptotic distribution; large sample properties; simulation
Abstract:

Large sample properties such as law of large number, central limit theorem, asymptotic probability distribution, etc. play a significant role in statistical education. Given students' background and mathematical skills, these properties are often very difficult to communicate with students theoretically at lower level statistics classes. This article addresses communicating these properties by simulation approaches, which enhance student's understanding and learning without any ambiguity and misconceptions.


Authors who are presenting talks have a * after their name.

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