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