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The International Air Transport Association surveys business travelers to develop quality ratings for transatlantic gateway airports. The maximum possible rating is 10. Suppose a simple random sample of business travelers is selected and each traveler is asked to provide a rating for the Miami International Airport. The ratings obtained from the sample of business travelers follow. 1 5 6 7 8 8 8 9 9 9 9 10 3 4 5 5 7 6 8 9 10 5 4 6 5 7 3 1 9 8 8 9 9 10 7 6 4 8 10 2 5 1 8 6 9 6 8 8 10 10 Develop a confidence interval estimate of the population mean rating for Miami. Round your answers to two decimal places.

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Answer:


6.76-2.01(2.55)/(√(50))=6.03


6.76+2.01(2.55)/(√(50))=7.49

The 95% confidence interval would be given by (6.03;7.49)

Explanation:

Notation


\bar X represent the sample mean


\mu population mean (variable of interest)

s represent the sample standard deviation

n=50 represent the sample size

Solution

The confidence interval for the mean is given by the following formula:


\bar X \pm t_(\alpha/2)(s)/(√(n)) (1)

We can calculate the mean and the sample deviation we can use the following formulas:


\bar X= \sum_(i=1)^n (x_i)/(n) (2)


s=\sqrt{(\sum_(i=1)^n (x_i-\bar X))/(n-1)} (3)

The mean calculated for this case is
\bar X=6.76

The sample deviation calculated
s=2.55

In order to calculate the critical value
t_(\alpha/2) we need to find first the degrees of freedom, given by:


df=n-1=50-1=49

We assume a standard confidence level of 0.95 or 95%, the value of
\alpha=0.05 and
\alpha/2 =0.025, and we can use excel, a calculator or a tabel to find the critical value. The excel command would be: "=-T.INV(0.025,49)".And we see that
t_(\alpha/2)=2.01

Now we have everything in order to replace into formula (1):


6.76-2.01(2.55)/(√(50))=6.03


6.76+2.01(2.55)/(√(50))=7.49

The 95% confidence interval would be given by (6.03;7.49)

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