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Masja [62]
2 years ago
14

A statistics professor randomly selects 31 students from their morning class and asks ``How much sleep did youget the night befo

re?''. The sample average was 6.5 hours, and the sample standard deviation was 3.2 hours.a) Find the 95% confidence interval for the average sleep (in hours) that statistics students in the morning class gotthe night before and interpret your interval in terms of the problem.
Mathematics
2 answers:
LenaWriter [7]2 years ago
8 0

Answer:

This is what we know: , , and .

In order to compute the confidence interval for  we will need the t multiplier and the standard error ().

Step-by-step explanation:

Nikitich [7]2 years ago
5 0

Answer:

The 95% confidence interval for the average sleep (in hours) that statistics students in the morning class got the night before is between 5.37 hours and 7.63 hours. This means that we are 95% that the true mean sleep that all statistics students in the morning class got the night before is between 5.37 hours and 7.63 hours.

Step-by-step explanation:

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

\alpha = \frac{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 M as such

M = z*\frac{\sigma}{\sqrt{n}}

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

M = 1.96*\frac{3.2}{\sqrt{31}} = 1.13

The lower end of the interval is the mean subtracted by M. So it is 6.5 - 1.13 = 5.37 hours

The upper end of the interval is the mean added to M. So it is 6.5 + 1.13 = 7.63 hours

The 95% confidence interval for the average sleep (in hours) that statistics students in the morning class got the night before is between 5.37 hours and 7.63 hours. This means that we are 95% that the true mean sleep that all statistics students in the morning class got the night before is between 5.37 hours and 7.63 hours.

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C)We use same steps as in B) to solve this.
</span>

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<em></em>

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