Please help me with the data below with questions A-P. I'm not use to using Minitab so I would prefer you to provide steps on how to make the graph, for the questions that ask for a Minitab graph. Please paste a final view of how the Minitab graphs look so i can make sure im doing the work right .

1.Four different feed rates were investigated in an experiment on a CNC machine producing a component part used in an aircraft auxiliary power unit. The manufacturing engineer in charge of the experiment know that a critical part dimension of interest may be affected by the feed rate. However, prior experience has indicated that only dispersion effects are likely to be present. That is, changing the feed rate does not affect the average dimension, but it could affect dimensional variability. The engineer makes five production runs at each feed rate and obtains the standard deviation of the critical dimension (in 10^-3 mm). The data are shown below. Assume that all runs were made in random order.

Feed rate (in/min)	Production Run
1	2	3	4	5
10	0.09	0.10	0.13	0.08	0.07
12	0.06	0.09	0.12	0.07	0.12
14	0.11	0.08	0.08	0.05	0.06
16	0.19	0.11	0.14	0.20	0.11

A.What is the number of replicates in these experiments?

B.What is the response variable (output)?

C.What is the factor?

D.many factors do we have for this problem?

E.How many levels are considered for the factor?

F.What test should be used to know whether all 4 different batches have the same effect on mean of calcium content?

G.Using the Minitab software and running a proper test on the aforementioned data, do them different four batches have the same effect on calcium content?

H.What is the null hypothesis (H0) for this problem?

i.What is the alternative hypothesis (H1 or H^A) for this problem?

J.After running the proper test, what is P-value for this problem?

K.What value did you choose for the error type I (significance level) for this problem?

L.What is confidence level?

M.After solving the question, what value did you get for the F test statistic?

N.What value did you get for sum of square treatment (source of variation between groups due to factor)?

O.What value did you get for sum of square error (source of variation within group due to error)?

P.Using Minitab, Plot the residuals versus the predicted response. Construct a normal probability plot of the residuals. What information is conveyed by these plots?