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?

Respuesta :

Answer:

[tex] df = n-1= 16-1 =15[/tex]

And the significance level is [tex]\alpha=0.05[/tex] 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:

[tex] t_{\alpha/2}= \pm 2.131[/tex]

Step-by-step explanation:

Information given

[tex]\bar X=45[/tex] represent the sample mean

[tex]s=3.65[/tex] represent the sample standard deviation

[tex]n=16[/tex] sample size  

[tex]\mu_o =41[/tex] represent the value that we want to test

[tex]\alpha=0.05[/tex] represent the significance level for the hypothesis test.  

t would represent the statistic

[tex]p_v[/tex] 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:[tex]\mu = 41[/tex]  

Alternative hypothesis:[tex]\mu \neq 41[/tex]  

We need to find the degrees of freedom first:

[tex] df = n-1= 16-1 =15[/tex]

And the significance level is [tex]\alpha=0.05[/tex] 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:

[tex] t_{\alpha/2}= \pm 2.131[/tex]

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