Suppose the finishing times for cyclists in a race are normally distributed and have a known population standard deviation of 9 minutes and an unknown population mean. A random sample of 18 cyclists is talken and gives a sample mean of 146 minutes. Find the confidence interval for the population mean with a 99% confidence level.
0.10 0.05 0.025 0.005 0.01
1.282 1.645 1.960 2.326 2.576

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Answer:

The 99% confidence interval for the population mean is between 140.54 minutes and 151.46 minutes

Step-by-step explanation:

We have that to find our [tex]\alpha[/tex] level, that is the subtraction of 1 by the confidence interval divided by 2. So:

[tex]\alpha = \frac{1-0.99}{2} = 0.005[/tex]

Now, we have to find z in the Ztable as such z has a pvalue of [tex]1-\alpha[/tex].

So it is z with a pvalue of [tex]1-0.005 = 0.995[/tex], so [tex]z = 2.576[/tex]

Now, find the margin of error M as such

[tex]M = z*\frac{\sigma}{\sqrt{n}}[/tex]

In which [tex]\sigma[/tex] is the standard deviation of the population and n is the size of the sample.

[tex]M = 2.576*\frac{9}{\sqrt{18}} = 5.46[/tex]

The lower end of the interval is the sample mean subtracted by M. So it is 146 - 5.46 = 140.54 minutes

The upper end of the interval is the sample mean added to M. So it is 146 + 5.46 = 151.46 minutes

The 99% confidence interval for the population mean is between 140.54 minutes and 151.46 minutes