Question

Given the sample results (100 units in each sample): Sample Number Number of Errors Fraction Defective...

Given the sample results (100 units in each sample):

Sample Number Number of Errors Fraction Defective
1 0 0.00
2 9 0.09
3 6 0.06
4 7 0.07
5 2 0.02
6 7 0.07
7 7 0.07
8 5 0.05
9 4 0.04
10 5 0.05

Compute:

a. p-bar

b. the 95.5% (z=2) upper and lower control limits

c. just by observation, does the process appear to be in control? Why?

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Answer #1

The following answers can be computed using simple calculations in Excel.

The number of units in each sample (N) = 100

The value of Z = 2

The first step is the formulation of the table.

Formulas used

p-bar is the average value of the fraction defective of the samples.

Ans a)

The value of P-bar as seen by the calculation in the above spreadsheets is 0.052

Ans b)

The 2 sigma control limits are as follows.

Upper control limit (UCL) is-

UCL = 0.096

Lower control limit (LCL) is-

LCL = 0.008

Ans c)

Although sample 1 lies outside the control limits, still the process appears to be in control as Sample 1 had 0 defects. All the other samples lie within the control limits.

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