Answer:
We conclude that the storm is not increasing above the severe rating.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = 16.4 feet
Sample mean, [tex]\bar{x}[/tex] = 17.3 feet
Sample size, n = 34
Alpha, α = 0.01
Population standard deviation, σ = 3.5 feet
First, we design the null and the alternate hypothesis
[tex]H_{0}: \mu = 16.4\text{ feet}\\H_A: \mu > 16.4\text{ feet}[/tex]
We use One-tailed(right) z test to perform this hypothesis.
Formula:
[tex]z_{stat} = \displaystyle\frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}} }[/tex]
Putting all the values, we have
[tex]z_{stat} = \displaystyle\frac{17.3 - 16.4}{\frac{3.5}{\sqrt{34}} } = 1.49[/tex]
Now, [tex]z_{critical} \text{ at 0.01 level of significance } = 2.33[/tex]
Since,
[tex]z_{stat} < z_{critical}[/tex]
We fail to reject the null hypothesis and accept null hypothesis. Thus, the the storm is not increasing above the severe rating.