Using the z-distribution, it is found that the maximum error of the estimate is of 0.0475 hours.
The confidence interval is:
[tex]\overline{x} \pm z\frac{\sigma}{\sqrt{n}}[/tex]
In which:
The margin of error is given by:
[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]
For this problem, the values of the parameters are given as follows:
[tex]\sigma = 0.5, n = 300[/tex]
We have a 90% confidence level, hence[tex]\alpha = 0.9[/tex], z is the value of Z that has a p-value of [tex]\frac{1+0.9}{2} = 0.95[/tex], so the critical value is z = 1.645.
Thus the maximum error of the estimate in hours is found as follows:
[tex]M = z\frac{\sigma}{\sqrt{n}}[/tex]
[tex]M = 1.645\frac{0.5}{\sqrt{300}}[/tex]
M = 0.0475 hours
More can be learned about the z-distribution at https://brainly.com/question/25890103
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