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A 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?
A. 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.
B. 90% of the sample said they spent between $217 and $677 at sporting events last year.
C. No conclusion can be drawn.
*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. - Incorrect. 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 people at a football game, which might mean that they tend to spend more money on sporting events than other students.

Sagot :

The valid conclusion is  A. 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 confidence interval used by the student researcher refers to the probability that the university's population parameter (average amount that students spent on sporting events last year) will fall between $217 and $677 for 90% of the time.

Thus, the interval measurement gives the researcher some degree of certainty that the calculated sample mean falls within the population mean most of the time.

Hence ,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.

Learn more about confidence interval at:

brainly.com/question/17212516

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