This applet demonstrates repeated samples from Bernoulli data and the associated hypothesis test for the proportion.
Type of Material:
Applet, simulation
Recommended Uses:
Recommend use during lecture only. It does not provide much for student exploration or discovery.
Technical Requirements:
Browser, Java
Identify Major Learning Goals:
Students may be able to visualize how repeated hypothesis tests on the same Bernoulli variable will give differing results. They may also be able to draw conclusions about the effect of alpha.
Target Student Population:
Introductory statistics courses
Prerequisite Knowledge or Skills:
Students need a good understanding of hypothesis tests to make sense of the applet.
Content Quality
Rating:
Strengths:
The applet can demonstrate how, in repeated hypothesis testing, some samples will give significant results just by chance.
Concerns:
The content is rather limited, the user cannot modify the important parameter such as sample size. Furthermore, it would be helpful to show the critical value in case students want to calculate and compare their answer to the right one. I think this applet would be more confusing than helpful for students. While the notation does follow generally accepted notation, it is presented visually in such a way that students will have a hard time connecting the applet to the formulas and notation they see in their textbooks.
Potential Effectiveness as a Teaching Tool
Rating:
Strengths:
This tool is very effective in demonstrating the components of the hypothesis test on the proportion.
Concerns:
The usage is rather limited. The system does not help to develop more relevant statistical concepts. The tool is too simple to be used heavily. Instructions to students are limited and vague. Each dot apparently represents the z-statistic for the test, but that is not clearly stated in the explanation of the applet.
Ease of Use for Both Students and Faculty
Rating:
Strengths:
It is interesting that students can change both the hypothesized proportion and the population proportion.
Concerns:
Statistical notation is given in plain text, not as graphics or typeset, which may be hard for students to translate into the form they are accustomed to seeing in their textbooks and notes.
Creative Commons:
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