Using the normal distribution and the central limit theorem, it is found the power of the test is of 0.
In a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the z-score of a measure X is given by:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
The power of a test is the probability of rejecting a true null hypothesis, which in this problem is concluding that there is significant evidence that the mean speed is above 95 m/s when in fact it isn't, which is the probability of finding a sample mean above 102.2 m.
For this problem, the parameters are:
The probability is 1 subtracted by the p-value of Z when X = 102.2, then:
[tex]Z = \frac{X - \mu}{\sigma}[/tex]
By the Central Limit Theorem
[tex]Z = \frac{X - \mu}{s}[/tex]
[tex]Z = \frac{102.2 - 95}{\frac{4}{\sqrt{8}}}[/tex]
[tex]Z = 5.1[/tex]
[tex]Z = 5.1[/tex] has a p-value of 1.
1 - 1 = 0
The power of the test is of 0.
A similar problem is given at https://brainly.com/question/24663213