In: Statistics and Probability
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective.
Step 1 of 2:
Suppose a sample of 865 floppy disks is drawn. Of these disks, 805 were not defective. Using the data, estimate the proportion of disks which are defective. Enter your answer as a fraction or a decimal number rounded to three decimal places.
Step 2 of 2:
Suppose a sample of 865 floppy disks is drawn. Of these disks, 805 were not defective. Using the data, construct the 95% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
Solution :
Given that,
n = 865
805 are not defective
x = 865 - 805 = 60 defective
Step 1)
Point estimate = sample proportion = = x / n = 60 / 865 = 0.069
1 - = 1 - 0.69 = 0.931
Step 2)
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.96 * (((0.069* 0.931) /865 )
= 0.017
A 95% confidence interval for population proportion p is ,
- E < p < + E
0.069 - 0.017 < p < 0.069 + 0.017
0.052 < p < 0.086
The 95% confidence interval for the population proportion p is : (0.052 , 0.086)