In: Statistics and Probability
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?
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.