Answer:
A sample size of 385 is needed.
Explanation:
We have that to find our
level, that is the subtraction of 1 by the confidence interval divided by 2. So:
![\alpha = (1 - 0.95)/(2) = 0.025](https://img.qammunity.org/2022/formulas/mathematics/college/k8m2vmetmk326pc3hdyvi0d7k37r14zn45.png)
Now, we have to find z in the Ztable as such z has a pvalue of
.
That is z with a pvalue of
, so Z = 1.96.
Now, find the margin of error M as such
![M = z(\sigma)/(√(n))](https://img.qammunity.org/2022/formulas/mathematics/college/p19w5m3ctzqxc0b7ic9kz7y4ab19d7zpbv.png)
In which
is the standard deviation of the population and n is the size of the sample.
You feel that a reasonable estimate of the standard deviation is 10.0 hours.
This means that
![\sigma = 10](https://img.qammunity.org/2022/formulas/sat/college/ep90c68pkoz7zrq51c9l504f7rp83e7v2i.png)
What sample size is needed so that the expected margin of error of your estimate is not larger than one hour for 95% confidence?
A sample size of n is needed. n is found when M = 1. So
![M = z(\sigma)/(√(n))](https://img.qammunity.org/2022/formulas/mathematics/college/p19w5m3ctzqxc0b7ic9kz7y4ab19d7zpbv.png)
![1 = 1.96(10)/(√(n))](https://img.qammunity.org/2022/formulas/mathematics/college/zruhddb3u3dd2gmgq82t8sj4b5rffv9kwz.png)
![√(n) = 1.96*10](https://img.qammunity.org/2022/formulas/mathematics/college/7sr7mdtcqk275inwu6i2t4olskm40dkgy9.png)
![(√(n))^2 = (1.96*10)^2](https://img.qammunity.org/2022/formulas/mathematics/college/afh8w7tl3sedzp76y45xv0r62trk1dbljy.png)
![n = 384.16](https://img.qammunity.org/2022/formulas/mathematics/college/2fy0i6fdzrxfgan62dy9nhbmvemo77io3g.png)
Rounding up:
A sample size of 385 is needed.