We describe an easy-to-employ, hands-on demonstration using playing cards to illustrate the central limit theorem. This activity allows students to see how a collection of sample means drawn from a nonnormally distributed population will be normally distributed. Students who took part in the demonstration reported it to be helpful in understanding the theorem, enjoyable, and worthwhile. An analysis of open-ended exam questions indicated that students who participated in this demonstration possessed greater understanding of the central limit theorem than those who participated in an alternate demonstration and those who witnessed a standard presentation on the central limit theorem that included no demonstration
A model to simulate distributions and show a variety of concepts related to statistics
The Central Limit Theorem states that regardless of the underlying distribution, the distribution of...
The central limit theorem ranks high amongst the most important discoveries in the field of mathemat...
We describe an easy,to,employ, hands,on demonstration using playing cards to illustrate the central ...
Using a simulation approach, and with collaboration among peers, this paper is intended to improve t...
Central limit theorems and their applications constitute highlights in probability theory and statis...
The Central Limit Theorem (CLT) states that regardless of the underlying distribution, the distribut...
The Central Limit Theorem applet demonstrates the central limit theorem using simulated dice-rolling...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
Modern approaches for information technology based blended education utilize a variety of novel inst...
The Central Limit Theorem (CLT) states that regardless of the underlying distribution, the distribut...
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothe...
Using Microsoft Excel, several interactive, computerized learning modules are developed to demonstra...
In this article, we present an evaluation of a Web-based, interactive tutorial used to present the s...
The paper described our heuristics to teach the central limit theorem and the accuracy of estimates ...
A model to simulate distributions and show a variety of concepts related to statistics
The Central Limit Theorem states that regardless of the underlying distribution, the distribution of...
The central limit theorem ranks high amongst the most important discoveries in the field of mathemat...
We describe an easy,to,employ, hands,on demonstration using playing cards to illustrate the central ...
Using a simulation approach, and with collaboration among peers, this paper is intended to improve t...
Central limit theorems and their applications constitute highlights in probability theory and statis...
The Central Limit Theorem (CLT) states that regardless of the underlying distribution, the distribut...
The Central Limit Theorem applet demonstrates the central limit theorem using simulated dice-rolling...
It presents the central limit theorem and a simulation on hypotheses test and probability. Also show...
Modern approaches for information technology based blended education utilize a variety of novel inst...
The Central Limit Theorem (CLT) states that regardless of the underlying distribution, the distribut...
Simulation will be used to illustrate the Central Limit Theorem and the concept of testing a hypothe...
Using Microsoft Excel, several interactive, computerized learning modules are developed to demonstra...
In this article, we present an evaluation of a Web-based, interactive tutorial used to present the s...
The paper described our heuristics to teach the central limit theorem and the accuracy of estimates ...
A model to simulate distributions and show a variety of concepts related to statistics
The Central Limit Theorem states that regardless of the underlying distribution, the distribution of...
The central limit theorem ranks high amongst the most important discoveries in the field of mathemat...