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Sadia Sarker

Eastern Michigan University



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48 – Addressing Challenges in Teaching Statistics in the Health Sciences

Simulation of the Sampling Distribution of Mean—Controversy and Misconceptions in Teaching Statistics

Sponsor: Section on Teaching of Statistics in the Health Sciences
Keywords: teaching statistics, sampling distribution of means, law of large number, Central Limit Theorem, misconceptions

Sadia Sarker

Eastern Michigan University

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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