Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a newspaper article, the mean of the x distribution is about $34 and the estimated standard deviation is about $6.

(a)Consider a random sample of n = 40 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of x, the average amount spent by these customers due to impulse buying? What are the mean and standard deviation of the x distribution? Which answer is correct below?

The sampling distribution of x is approximately normal with mean _x = 34 and standard error _x = $0.95.

The sampling distribution of x is approximately normal with mean _x = 34 and standard error _x = $6.

The sampling distribution of x is approximately normal with mean _x = 34 and standard error _x = $0.15.

The sampling distribution of x is not normal.

Is it necessary to make any assumption about the x distribution? Which answer is correct below?

It is necessary to assume that x has an approximately normal distribution.

It is not necessary to make any assumption about the x distribution because is large.

It is not necessary to make any assumption about the x distribution because n is large.

It is necessary to assume that x has a large distribution.

(b)What is the probability that x is between $32 and $36? (Round your answer to four decimal places.)

(c)Let us assume that x has a distribution that is approximately normal. What is the probability that x is between $32 and $36? (Round your answer to four decimal places.)

(d)In part (b), we used x, the average amount spent, computed for 40 customers. In part (c), we used x, the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen? Which answer is correct below?

The standard deviation is smaller for the x distribution than it is for the x distribution.

The x distribution is approximately normal while the x distribution is not normal.

The sample size is smaller for the x distribution than it is for the x distribution.

The mean is larger for the x distribution than it is for the x distribution.The standard deviation is larger for the x distribution than it is for the x distribution.