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rsbains rsbains
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Posts: 329
A month ago
To plan the budget for next year a college needs to estimate what impact the current economic downturn might have on student requests for financial aid. Historically, this college has provided aid to 35% of its students. Officials look at a random sample of this year's applications to see what proportion indicate a need for financial aid. Based on these data they create a 90% confidence interval of (32%, 40%). Could this interval be used to test the hypothesis H0: p = 0.35 versus HA: p ≠ 0.35 at the α = 0.10 level of significance?

▸ Yes; since 35% is in the confidence interval they accept the null hypothesis, concluding that the percentage of students requiring financial aid will stay the same.

▸ Yes; since 35% is in the confidence interval they fail to reject the null hypothesis, concluding that there is not strong evidence of any change in financial aid requests.

▸ No, because they only used a sample of the applicants instead of all of them.

▸ Yes; since 35% is not at the center of the confidence interval they reject the null hypothesis, concluding that the percentage of students requiring aid will increase.

▸ No, because financial aid amounts may not be normally distributed.
Textbook 

Stats: Modeling the World


Edition: 4th
Authors:
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curtissxx9curtissxx9
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Posts: 302
A month ago
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Yes; since 35% is in the confidence interval they fail to reject the null hypothesis, concluding that there is not strong evidence of any change in financial aid requests.
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