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valentina_108 [34]
3 years ago
12

Suppose we take a random sample of 41 state college students. Then we measure the length of their right foot in centimeters. We

compute a 95% confidence interval for the mean foot length for students at this college. We get (21.71, 25.09). Suppose that we now compute a 90% confidence interval. As confidence level decreases, the interval width ________. Group of answer choices decreases increases stays the same
Mathematics
1 answer:
Debora [2.8K]3 years ago
3 0

Answer:

ME = \frac{25.09-21.01}{2}= 1.69

The general formula for the margin of error is given by:

ME= t_{\alpha/2} \frac{s}{\sqrt{n}}

And for this case the width is:

Width= 2*t_{\alpha/2} \frac{s}{\sqrt{n}}

And if we decrease the confidence level from 95% to 90% then the critical value t_{\alpha/2} would decrease and in effect the width for this new confidence interval decreases.

As confidence level decreases, the interval width decreases

Step-by-step explanation:

For this cae we know that the sample size selected is n =41

And we have a confidence interva for the true mean of foot length for students at a college selected.

The confidence interval is given by this formula:

\bar X \pm t_{\alpha/2} \frac{s}{\sqrt{n}}

And for this case the 95% confidence interval is given by: (21.71,25.09)

A point of etimate for the true mean is given by:

\bar X = \frac{21.71+25.09}{2}= 23.4

And the margin of error would be:

ME = \frac{25.09-21.01}{2}= 1.69

The general formula for the margin of error is given by:

ME= t_{\alpha/2} \frac{s}{\sqrt{n}}

And for this case the width is:

Width= 2*t_{\alpha/2} \frac{s}{\sqrt{n}}

And if we decrease the confidence level from 95% to 90% then the critical value t_{\alpha/2} would decrease and in effect the width for this new confidence interval decreases.

As confidence level decreases, the interval width decreases

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