In: Statistics and Probability
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 1996 floppy disks is drawn. Of these disks, 1677 were not defective. Using the data, construct the 99% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
Solution :
Given that,
n = 1996
x = 1677
Point estimate = sample proportion = = x / n = 1677 / 1996 = 0.840
1 - = 1 - 0.840 = 0.16
At 99% confidence level the z is ,
= 1 - 99% = 1 - 0.99 = 0.01
/ 2 = 0.01 / 2 = 0.005
Z/2 = Z0.005 = 2.576
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 2.576 * (((0.840 * 0.16) / 1996)
= 0.021
A 99% confidence interval for population proportion p is ,
- E < p < + E
0.840 - 0.021 < p < 0.840 + 0.021
0.819 < p < 0.861
The 99% confidence interval for the population proportion p is : 0.819 , 0.861