The first experiment I created 200 samples with 10 students in each and took each sample's mean. The mean of this distribution was about 10.7 miles with a standard deviation of 3.7 miles. (See video) Next I did 200 samples with 20 students each, then I did 200 samples with 50 students each and finally
The first experiment I created 200 samples with 10 students in each and took each sample's
Next I did 200 samples with 20 students each, then I did 200 samples with 50 students each and finally I did 200 samples with 100 students each. Watch the following video and answer the following questions about the sampling distributions being created.
1) For the samples with 100 students each, when the sampling is complete, what will the mean be close to or equal to?
2) For the samples with 100 students each, when the sampling is complete, will the standard deviation be smaller than the standard deviation for the samples with 50 students each?
3) What is the mean of the population of students that I am randomly sampling from?
4) What is the name of the important theorem that I am demonstrating right now.?
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