Respuesta :
The appropriate hypothesis test results that it reject the null hypothesis and accept the alternative hypothesis. The z score of -7.26 is in the rejection area
How to calculate hypothesis test?
The general form to calculate the hypothesis is by using the sample data and assuming the null hypothesis is true, calculate the value of the test statistic.
Here the hypothesis test for the population mean μ, we use the t-statistic t = x − (μ*s) / n
where the t-distribution with n - 1 degrees of freedom.
Here we have given that suppose that a particular NFL team claims that the mean weight of their defensive players is 315 pounds.
And we need to find appropriate hypothesis test and make conclusions at significance level 0.08 and here we have to assume weights are normally distributed.
While we looking into the given question, we have identified that weights are normally distributed.
Then the value of the given data are written as
data = 315 ,
n= 15 ,
Mean = 300,
standard deviation = 8,
Significance level= 0.08
Then the hypothesis is written as,
The critical value (cutoff point) is 1.761.
Where in left-tail hypothesis testing, any z score less than the critical value will be rejected. Since -7.26 is less than 1.761, we reject the null hypothesis. We accept the alternative hypothesis
To know more about Hypothesis here
https://brainly.com/question/29576929
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