(e) How much is a perfect forecast of the demand worth? (f) Which location would minimize the expected opportunity loss? (g) What is the expected value of perfect informa- tion in this situation?

Fifteen items or less: The number of customers in line at a supermarket express checkout counter is a random variable with the following probability distribution. X 0 1 2 3 4 5 P(x) 0.05 0.25 0.30 0.25 0.10 0.05 Send data to Excel

Weights (X) of men in a certain age group have a normal distribution with mean ? = 170 pounds and standard deviation ? = 28 pounds. Find each of the following probabilities. (Round all answers to four decimal places.) (a) P(X ≤ 191) = probability the weight of a randomly selected man is less than or equal to 191 pounds. (b) P(X ≤ 156) = probability the weight of a randomly selected man is less than or equal to 156 pounds. (c) P(X > 156) = probability the weight of a randomly selected man is more than 156 pounds

Please show work on paper please

Consumer Banker Association released a report showing the lengths of automobile leases for new automobiles. The results are as follows. Lease Length in Months Percent of Leases 13-2425-3637-4849-60More than 60 11.2%37.6%27.4%23.6%0.2% (a) Use the midpoint of each class, and call the midpoint of the last class 66.5 months, for purposes of computing the expected lease term. Also find the standard deviation of the distribution. (Round your answers to two decimal places.) expected lease term in months   standard deviation

Consumer Banker Association released a report showing the lengths of automobile leases for new automobiles. The results are as follows. Lease Length in Months Percent of Leases 13-2425-3637-4849-60More than 60 11.5%36.7%29.5%21.5%0.8% (a) Use the midpoint of each class, and call the midpoint of the last class 66.5 months, for purposes of computing the expected lease term. Also find the standard deviation of the distribution. (Round your answers to two decimal places.) A. expected lease term         months B. standard deviation

An Internet provider is trying to gain advertising deals and claims that the mean time the competitors' customers spend online per day is less than 33 minutes. You are asked to test this claim.   ​(a) How would you write the null and alternative hypotheses if you represent the Internet provider and want to support the​ claim? ​(b) How would you write the null and alternative hypotheses if you represent a competing advertiser and want to reject the​ claim?       (a) H0​: ▼   pp muμ sigmaσ sigma squaredσ2 ▼   less than< greater than> less than or equals≤ greater than or equals≥ not equals≠ 33   Ha​: ▼   sigma squaredσ2 muμ pp sigmaσ ▼   less than or equals≤ not equals≠ greater than> greater than or equals≥ less than< 33 (b) H0​: ▼   muμ sigma squaredσ2 pp sigmaσ ▼   less than< greater than or equals≥ not equals≠ greater than> less than or equals≤ 33   Ha​: ▼   muμ sigma squaredσ2…