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The idle time for taxi drivers in a day are normally distributed with an unknown population mean and standard deviation. If a random sample of 23 taxi drivers is taken and results in a sample mean of 172 minutes and sample standard deviation of 16 minutes, find a 98% confidence interval estimate for the population mean using the Student's t-distribution.

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Answer:


172-2.51(16)/(√(23))=163.626


172+2.51(16)/(√(23))=180.374

So on this case the 98% confidence interval would be given by (163.626;180.374)

Explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".


\bar X=172 represent the sample mean


\mu population mean (variable of interest)

s=16 represent the sample standard deviation

n=23 represent the sample size

Solution to the problem

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


\bar X \pm t_(\alpha/2)(s)/(√(n)) (1)

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


df=n-1=23-1=22

Since the Confidence is 0.98 or 98%, the value of
\alpha=0.02 and
\alpha/2 =0.01, and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.01,22)".And we see that
t_(\alpha/2)=2.51

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


172-2.51(16)/(√(23))=163.626


172+2.51(16)/(√(23))=180.374

So on this case the 98% confidence interval would be given by (163.626;180.374)

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