Mathematical concepts: data bias, scale, probability.
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M.C. Gordon (Student)
This was a simulation on how data can be biased. The experiment itself was interesting (I tried it twice)the first time was a suprise just to see how "off" my count was to the actual number of hits. It demonstrates human error in data collecting can be a very significant down side for accuracy and outcome of finished data.
Easy to use, all you have to do is count different colored dots and put the number you come up with in box. System calculates/compares your answer with actual number. It would have been interesting to see if there was a solution or technic to help cut down on errors.
Time spent reviewing site: I spent 15 mins on site initially when I tried the first simulation. The second time I tried it I spent approximately 8 minutes trying to better my error rate. I did better the second time around. I found the site to be a little anti-climatic,I did so poorly on the simulation that I felt deflated by my results. Hence, why I tried it a second time. The visual was great. Overall, I think this is a good excercise.
Bernd Schroeder (Faculty)
This applet is a good possible exercise in an intro to statistics or data analysis class about how data can ?obstruct itself?. The impacts of meteors of different sizes are modeled and with enough impacts older craters are completely obstructed. The user is asked to estimate the number of impacts. The applet could be used as a demo or as a homework assignment with a written response. It seems easy to pick up for anyone who has some enthusiasm for meteor craters (I do).
Runs fine under WIN98 and Explorer.
Seamus Beall (Student)