Question

In: Statistics and Probability

Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample...

Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8
1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423
2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706
3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476
4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666
5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385
6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686
7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574
8 99.77304 95.70568 99.5615 99.89883 100.3117 104.133 100.4445 96.28674
9 98.51186 99.89239 101.3762 99.76019 101.5632 97.32041 99.62125 101.4166

a. Construct an R-chart for this process.

b. Does the process appear to be in control? Why or why not?

c. Why must the R chart be read before the x-chart?

Solutions

Expert Solution

Solution :

Now here there are 8 samples each sample has size 9 (Subgroup size)

A) For R chart

1)We find from  the each Sample (Max - Min) in each sample

2) Average Of all this 8 points is Which is also Central line (CL) in R chart .

3) Find LCL = D3 & UCL = D4 ,   Where D3 & D4 is from table.

Calculation:

Hour Sample 1 Sample 2 Sample 3 Sample 4 Sample 5 Sample 6 Sample 7 Sample 8
1 98.2706 98.82376 101.8175 100.1819 102.9594 101.165 95.25957 98.97423
2 100.7166 101.8866 98.56813 98.77126 101.8273 98.20298 101.6975 99.63706
3 98.9922 101.9845 103.7859 97.94211 100.9618 102.5191 97.33631 101.6476
4 103.2479 97.55057 105.5942 99.39358 99.57922 95.39694 96.26237 102.5666
5 100.403 99.99954 100.1254 100.21 93.46717 103.2011 100.1247 101.0385
6 97.26687 101.0598 96.30829 100.2402 98.07447 97.92167 102.4083 104.0686
7 101.2243 98.17466 99.66765 101.106 100.2891 99.37136 99.33442 95.24574
8 99.77304 95.70568 99.5615 99.89883 100.3117 104.133 100.4445 96.28674
9 98.51186 99.89239 101.3762 99.76019 101.5632 97.32041 99.62125 101.4166
MAX - MIN 5.98103 6.27882 9.28591 3.16389 9.49223 8.73606 7.14873 8.82286
CL Rbar 7.363691
LCL 1.354919
UCL 13.37246

Now control Chart is :

R- chart ,X- Chart Constant value Table is:

B) The Process appears to be in control because all the Values of Range observation lies in between the Lines LCL & UCL This lines are the Control limits.

if any point is go outside of the control limit then process is out of control.

C)

R chart is read before the X chart because process for continuous variables can go out of control in one of the two ways. One way is that the process can drift from the standard mean value. At that situation we use X - chart to check for this behaviour. The other way process can get out of control is that the variable of a process can exceed specifications. The R - chart checks for this.

Also;

In the X- chart for finding the Control limits We need the Value CL of R-chart

Control limits of R - chart :

And

So here R must need.


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