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Problem 4. Using samples of 200 credit card statements, an auditor found the following: Number with errors 4 25 9 a. Determin
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Answer #1

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.

UCL 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 5.174 LCL SampleDefects CL 1.5 1.5 1.5 1.5

2 Sample UCL LCL -$C$17-D3+3*SORT(D3) MAX(O,D3-3*SQRT(D3) -$C$17D4+3* SQRT(D4) MAX(0,D4-3*SQRT (D4)) -$C$17 D5+3*SQRT (D5) MA

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