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Simulation a random sample of 1 0 0 0 from a population of values that is normally distributed with a mean mu X =

Simulation a random sample of 1000 from a population of values that is normally
distributed with a mean \mu X =50 and a standard deviation \sigma X =5. Store this data in
the data-vector `x'.(This willcoverwrite the data generated in Lab Exercise 1, there is
no need to save it.) To do so in R, type the following command:
x <- rnorm(1000,50,5)
x <- round(x, digits=2)
The second command simply rounds all the data values in q1 to two-decimals, and restores
them indata vector x

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