4.
(a)
Sample | 1 | 2 | 3 | 4 |
# with errors (np) | 4 | 2 | 5 | 9 |
n | 200 | 200 | 200 | 200 |
Fraction defective, p = np / n | 0.02 | 0.010 | 0.025 | 0.045 |
(b)
The estimate for average fraction defective in population = p_bar = Average (4,2,3,9) / 200 = 0.025
(c)
p_bar = 0.025
Sp = [p_bar * (1 - p_bar)/n]1/2 = sqrt(0.025*(1 -
0.025)/200) = 0.011
(d)
For alpha risk = 0.03, z = normsinv(1 - 0.03/2) = 2.17
UCL = p_bar + z * Sp = 0.025 + 2.17*0.011 =
0.04887
LCL = Max(0, p_bar - z * Sp) = Max(0, 0.025 - 2.17*0.011) =
0.00113
(e)
If UCL = 0.047
then, 0.025 + z*0.011 = 0.047
or, z = 2
Normxdist(2) = 0.9772
So, the alpha risk is (1 - 0.9772)*2 = 0.0456
(f)
Yes, in-control because all the p values as derived in part-a are within the [LCL, UCL] limit.
5.
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