Answer:
The Sample size is 1918.89035
Step-by-step explanation:
Consider the provided information.
It is given that 14 out of 105 samples failed.
Therefore p = 14/105 = 0.13
3... and q=1-0.133=0.867
Samples would be needed to create a 99 percent confidence interval.
Subtract the confidence level from 1, then divide by two.
![\frac{(1 -0.99)}{2}=0.005](https://tex.z-dn.net/?f=%5Cfrac%7B%281%20-0.99%29%7D%7B2%7D%3D0.005)
By standard normal table z=2.5758≈2.58
Calculate the sample size as:
![n=\frac{z^2pq}{e^2}](https://tex.z-dn.net/?f=n%3D%5Cfrac%7Bz%5E2pq%7D%7Be%5E2%7D)
Where, e is the margin of error,
Substitute the respective values.
![n=\frac{(2.58)^2(0.133)(0.867)}{(0.02)^2}=1918.89](https://tex.z-dn.net/?f=n%3D%5Cfrac%7B%282.58%29%5E2%280.133%29%280.867%29%7D%7B%280.02%29%5E2%7D%3D1918.89)
Hence, the Sample size is 1918.89035