A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective.
Step 2 of 2 :
Suppose a sample of 815 floppy disks is drawn. Of these disks, 114 were defective. Using the data, construct the 90% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places. estimate of defective disks =.140
Solution :
Given that,
n = 815
x = 114
Point estimate = sample proportion = = x / n = 0.140
1 - = 1 - 140 = 0.860
At 90% confidence level
= 1 - 90%
=1 - 0.90 = 0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.645 (((0.140 * 0.860) / 815 )
=0.020
A 90% confidence interval for population proportion p is ,
± E
0.140 ± 0.020
(0.120 , 0.160)
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