The shape of the distribution of the time required to get an oil change at a 20-

Question

The shape of the distribution of the time required to get an oil change at a 20-minute oil-change facility is unknown. However, records indicate that the mean time is 21.2 minutes 21.2 minutes, and the standard deviation is 4.4 minutes 4.4 minutes. Complete parts (a) through (c). (a) To compute probabilities regarding the sample mean using the normal model, what size sample would be required? A. The normal model cannot be used if the shape of the distribution is unknown. B. The sample size needs to be greater than or equal to 30. C. Any sample size could be used. D. The sample size needs to be less than or equal to 30. (b) What is the probability that a random sample of n equals=35 oil changes results in a sample mean time less than 20 minutes? The probability is approximately nothing. (Round to four decimal places as needed.) (c) Suppose the manager agrees to pay each employee a $50 bonus if they meet a certain goal. On a typical Saturday, the oil-change facility will perform 35 oil changes between 10 A.M. and 12 P.M. Treating this as a random sample, there would be a 10% chance of the mean oil-change time being at or below what value? This will be the goal established by the manager. There is a 10% chance of being at or below a mean oil-change time of nothing minutes. (Round to one decimal place as needed.)

Explanation / Answer

(a) If we assume the sample mean is following normal model, we need to assume the sample size is larger than 30

Answer: 2. Sample size need to be greater than 30

(b) The proability is

P(xbar<20) = P((xbar-mean)/(s/vn) <(20- 21.2)/(4.4/sqrt(35)))

=P(Z<-1.61) =0.05332 (from standard normal table)

Hope this will be helpful. Thanks and God Bless You:-)

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