marketing student is estimating the average amount of money that students at a large university spent on sporting events last year. He asks a random sample of 50 students at one of the university football games how much they spent on sporting events last year. Using this data he computes a 90% confidence interval, which turns out to be ($217, $677). Which one of the following conclusions is valid? We can be 90% confident that the mean amount of money spent at sporting events last year by all the students at this university is between $217 and $677. 90% of the sample said they spent between $217 and $677 at sporting events last year. No conclusion can be drawn.

Question

Hugo Ali

Business

11 June, 15:41

marketing student is estimating the average amount of money that students at a large university spent on sporting events last year. He asks a random sample of 50 students at one of the university football games how much they spent on sporting events last year. Using this data he computes a 90% confidence interval, which turns out to be ($217, $677). Which one of the following conclusions is valid? We can be 90% confident that the mean amount of money spent at sporting events last year by all the students at this university is between $217 and $677. 90% of the sample said they spent between $217 and $677 at sporting events last year. No conclusion can be drawn.

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Answers (2)

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Karlee Rangel · Answer 1

Option A

Explanation:

We can be 90% confident that the mean amount of money spent at sporting events last year by all the students at this university is between $ 217 and $ 677.

The interval offered by option A, is the same result obtained by the student on his research. By the definition the confidence interval permit us to conclude that the mean of the population would be on that interval.

Rhett Gill · Answer 2

No conclusion can be drawn.

Explanation:

The student's sample is not representative of all the students at the university (it is not a random sample of all university students). He surveyed students at a football game, which might mean that they tend to spend more money on sporting events than other students.