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A recent study claims that business travelers spend an average of $41 per day on meals. A sample of 16 business travelers found that they had spent an average of $45 per day with a standard deviation of $3.65. If a = 0.05, what are the critical values?

User Rbp
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Answer:


df = n-1= 16-1 =15

And the significance level is
\alpha=0.05 and since we are conducting a bilateral test then the critical values are founded with the t distribution with 15 degrees of freedom and we got:


t_(\alpha/2)= \pm 2.131

Explanation:

Information given


\bar X=45 represent the sample mean


s=3.65 represent the sample standard deviation


n=16 sample size


\mu_o =41 represent the value that we want to test


\alpha=0.05 represent the significance level for the hypothesis test.

t would represent the statistic


p_v represent the p value

System of hypothesis

We want to determine the true mean is 41 per day, the system of hypothesis would be:

Null hypothesis:
\mu = 41

Alternative hypothesis:
\mu \\eq 41

We need to find the degrees of freedom first:


df = n-1= 16-1 =15

And the significance level is
\alpha=0.05 and since we are conducting a bilateral test then the critical values are founded with the t distribution with 15 degrees of freedom and we got:


t_(\alpha/2)= \pm 2.131

User Nmu
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