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Activity Number: 48 - Addressing Challenges in Teaching Statistics in the Health Sciences
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Section on Teaching of Statistics in the Health Sciences
Abstract #312645
Title: Simulation of the Sampling Distribution of Means—Controversy and Misconceptions in Teaching Statistics
Author(s): Sadia Sarker* and Khairul Islam
Companies: Eastern Michigan University and Eastern Michigan University
Keywords: Teaching Statistics; Sampling distribution of means; Law of large number; Central limit theorem; Misconceptions
Abstract:

While Watkins et al. (2014) concluded that the “Simulation of the Sampling Distribution of the Mean Can Mislead,” Lane (2015) concluded that the “Simulations of the Sampling Distribution of the Mean Do Not Necessarily Mislead and Can Facilitate Learning.” Given such controversy in conclusions, instructors have to rethink about specific learning objectives and examples for better outcomes in the simulation of the sampling distribution of means while teaching. This paper proposes some specific objectives and examples which is expected to reduce controversy and misconceptions in teaching statistics.


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

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