How often do they occur? What do we do with them? Complete part a to see how
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a. Use the technology of your choice to take samples of various sizes (10, 30, 100, 300 would be good choices) from a normal distribution (mean of 100 and standard deviation of 20 will work nicely) and see how many outliers a randomly generated sample contains. You will probably be surprised. Generate 10 samples of each size for a more representative result. Describe your results—in particular comment on the frequency of outliers in your samples. In practice, we want to do something about the data points that are discovered to be outliers.
Distribution
The word "distribution" has several meanings in the financial world, most of them pertaining to the payment of assets from a fund, account, or individual security to an investor or beneficiary. Retirement account distributions are among the most...
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