A bank collects data on the number of loan applications filled incorrectly each day to construct a np-chart. Data from the previous 10 days indicate the following number of loan applications filled incorrectly per day in a sample size of 25 per day.
|
Day |
Incorrect loan applications/day |
|
1 |
5 |
|
2 |
7 |
|
3 |
6 |
|
4 |
5 |
|
5 |
8 |
|
6 |
4 |
|
7 |
4 |
|
8 |
5 |
|
9 |
5 |
|
10 |
6 |
Question 1. Calculate the average number of
incorrect loan applications per sample and the corresponding
standard deviation.
A. np-bar = 5.2; the standard deviation is = 2.2094
B. np-bar = 5.6; the standard deviation is = 2.0846
C. np-bar = 4.9; the standard deviation is = 1.9848
D. np-bar = 5.5; the standard deviation is = 2.0712
Question 2. Using +- 3-sigma limits, calculate the LCL and UCL for these data.
Since there are 55 defective items in 10 samples of smple size 25,
the fraction defective pbar = 55/25x10 = 0.22
1. npbar = 25x0.22 =5.5
SD = [ npbar ( 1-pbar)]1/2 = [ 5.5 x(0.78)]1/2 = 2.071
D is correct
2.Control limits
UCL = npbar + 3 [ npbar ( 1-pbar)]1/2 = 5.5+ 3[ 5.5 x(0.78)]1/2 = 11.7136
LCL = npbar - 3 [ npbar ( 1-pbar)]1/2 = 5.5-3[ 5.5 x(0.78)]1/2 =0 ( as defects can't be negative)
D is correct
A bank collects data on the number of loan applications filled incorrectly each day to construct...
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