1) Use your own random (μ, σ) to generate four sets of (normal-distribution based) random numbers (i.e., samples) of sizes n = 5, 20, 80, and 320, respectively.
2) Calculate the means and standard deviations for the 4 samples you generated in Point-6 above. Ensure that these are within the limits found in Point-5, otherwise, repeat Point-6 and replace the data set(s).
3) Now, assume that (μ, σ) are unknown. Estimate the four pairs of different 95% confidence intervals, for the population's statistics (μ,σ), using the four samples' data in Point-7 above, respectively.
4) Plot your results found in Point-8 above as (μ versus n) and (σ versus n), (i.e., two limit points for every n value), and include reference lines at the true population statistics values. Explain, in two or less sentences, your observations. (Note that your own (μ,σ) selected in Point-4 above are the true values for the population statistics).
5) Use all the 80 points of the n = 80 data set in Point-6 above to create 20 sub-set samples of size n = 4 each.
6) Determine the ±3σ control limits, both for sample-mean and -standard-deviation (i.e., X-Bar and S) charts, using the sample data in Point-10 above.
7) To simulate a potentially out-of-control process, change your own original μ and σ (Point-4 above) as (μ* = K1xμ, σ* =K2xσ), i.e., calculate a new set of population statistics, where K1 and K2 are two separate randomly generated values: K1 is between 2.1-2.3, and K2 is between 1.5-2.0, respectively.
8) Generate a new set of 20 samples all of size n = 4, using the new population statistics μ* and σ*.
9) Calculate and plot the mean and standard-deviation data for the 20 new samples (Point-13 above) on the X-Bar and S charts using the control limits calculated for the population with the original (μ,σ) values (Point-11 above). Explain, in two or less sentences, your observations.