Distribution A x frequency 0 20 1 2 2 3 3 2 4 4 5 18 6 5 7 4 8 6 9 6
Distribution A
|
x |
frequency |
|
0 |
20 |
|
1 |
2 |
|
2 |
3 |
|
3 |
2 |
|
4 |
4 |
|
5 |
18 |
|
6 |
5 |
|
7 |
4 |
|
8 |
6 |
|
9 |
6 |
Distribution B
|
x |
frequency |
|
0 |
7 |
|
1 |
6 |
|
2 |
6 |
|
3 |
7 |
|
4 |
8 |
|
5 |
6 |
|
6 |
7 |
|
7 |
9 |
|
8 |
8 |
|
9 |
6 |
Both samples are the last digits of recorded weights of people. One of the samples came from measured weights, whereas the other sample resulted from asking people what they weigh. Identify which distribution came from which sample. Explain how you came to that conclusion.
Notice that you can make a conclusion about the nature of the data by simply examining the distributions.
Next, construct an “ideal” distribution of last digits x that would result from 100,000 people who were actually weighed. Estimate the mean and standard deviation of the last digits x in the ideal distribution.
Finally, explicitly agree or disagree with the posts of at least 2 of your peers, and explain why you agree or disagree.
How do I construct an “ideal” distribution of last digits x that would result from 100,000 people who were actually weighed?
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