A quality analyst wants to construct a sample mean chart for controlling a packaging process He knows from past experience that the process standard deviation is two kilograms Each day last week, he randomly selected four packages and weighed each The data from that activity appears below You do NOT need to show your calculation steps There is NO partial credits for any mistake (i e , each answer is either right or wrong) Weights Days Package 1 Package 2 Package 3 Package 4 Monday 23 22 23 24 Tuesday 23 21 19 21 Wednesday 20 19 20 21 Thursday 18 19 20 19 Friday 18 20 22 20 A What is the sample size (n) in this problem And what is the number of samples (k) in this problem No explanation needed here B Calculate the UCL and the LCL for the X bar chart, using for variations due to natural causes C Is the process in control or out of control Justify your answer

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Question: A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that the process standard deviation

A quality analyst wants to construct a sample mean chart for controlling a packaging process. He knows from past experience that the process standard deviation is two kilograms. Each day last week, he randomly selected four packages and weighed each. The data from that activity appears below. You do NOT need to show your calculation steps. There is NO partial credits for any mistake (i.e., each answer is either right or wrong).

	Weights
Days	Package 1	Package 2	Package 3	Package 4
Monday	23	22	23	24
Tuesday	23	21	19	21
Wednesday	20	19	20	21
Thursday	18	19	20	19
Friday	18	20	22	20

.A. What is the sample size (n) in this problem? And what is the number of samples (k) in this problem? No explanation needed here.

.B. Calculate the UCL and the LCL for the X-bar chart, using for variations due to natural causes.

.C. Is the process in control or out of control? Justify your answer.

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