Please help with Question #7 below. All questions have been posted as reference. I am in need of the code for the data step as specified in #7.

Part A (30 pts):

1. Research on SAS random number generation functions, such as RAND(). Understand how to use it to generate random variables from the standard normal distribution N(0,1).
2. Use a 'DO.... END' loop to create the 100 obs, use variable name X. Use another DO loop of 600 rounds to generate a total of 600 samples, each with 100 obs. Now you have the proper dataset to work with. Note, you can refer to a loop as a sample in this case, since it is basically sampling from a standard normal distribution.
3. Use a PROC MEANS step to calculate the sample mean of X for each sample. You will have 600 sample means.
4. Then use another RPOC MEANS to find out the mean of these sample means. Is it close enough to the true mean of X, which is 0?

Part B (30 pts):

5. Now, repeat the above steps, but this time get 500 obs for each loop. Does the sample mean get closer to 0? Comment on what you saw.

Part C (40 pts):

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