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A study of stress on the campus of your university reported a mean stress level of 78 (on a 0 to 100 scale with a higher score indicating more stress) with a margin of error of 5 for 95% confidence. The study was based on a random sample of 64 undergraduates. If you wanted 90% confidence for the same study, what would be the confidence interval

User Bludzee
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Answer:

The 90% confidence interval would be between 73.80 and 82.20.

Explanation:

95% confidence interval:

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


\alpha = (1-0.95)/(2) = 0.025

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

So it is z with a pvalue of
1-0.025 = 0.975, so
z = 1.96

Now, find the margin of errorM as such


M = z*(\sigma)/(√(n))

In which
\sigma is the standard deviation of the population and n is the size of the sample.

We have that M = 5, n = 64. We have to find the standard deviation of the population. So


M = z*(\sigma)/(√(n))


5 = 1.96*(\sigma)/(√(64))


1.96\sigma = 5*8


\sigma = (5*8)/(1.96)


\sigma = 20.41

90% confidence interval.

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


\alpha = (1-0.9)/(2) = 0.05

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

So it is z with a pvalue of
1-0.05 = 0.95, so
z = 1.645

Now, find M as such


M = z*(\sigma)/(√(n))

In which
\sigma is the standard deviation of the population and n is the size of the sample.


M = 1.645*(20.41)/(√(64)) = 4.20

The lower end of the interval is the sample mean subtracted by M. So it is 78 - 4.20 = 73.80.

The upper end of the interval is the sample mean added to M. So it is 78 + 4.20 = 82.20

The 90% confidence interval would be between 73.80 and 82.20.

User Yassir Ennazk
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