Tyler Apiaries sells bees and beekeeping supplies. Bees (including a queen) are shipped in special packages according to weight. The target weight of a package is 14 kg. Historically, Tyler's shipments have weighed on average 14 kg, with a standard deviation of 0.7 kg. The buyer will accept the packages as long as they are within the range of +/- 2.4 kg. The buyer specified that 99.7% has to conform to the requirements. Based on the calculated process capability ratio, does Tyler Apiaries have a quality problem regarding its package weight? Enter 1 for "no problem", or enter 0 for "has problem".
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- Dilberts Department Store is trying to determine how many Hanson T-shirts to order. Currently the shirts are sold for 21, but at later dates the shirts will be offered at a 10% discount, then a 20% discount, then a 40% discount, then a 50% discount, and finally a 60% discount. Demand at the full price of 21 is believed to be normally distributed with mean 1800 and standard deviation 360. Demand at various discounts is assumed to be a multiple of full-price demand. These multiples, for discounts of 10%, 20%, 40%, 50%, and 60% are, respectively, 0.4, 0.7, 1.1, 2, and 50. For example, if full-price demand is 2500, then at a 10% discount customers would be willing to buy 1000 T-shirts. The unit cost of purchasing T-shirts depends on the number of T-shirts ordered, as shown in the file P10_36.xlsx. Use simulation to determine how many T-shirts the company should order. Model the problem so that the company first orders some quantity of T-shirts, then discounts deeper and deeper, as necessary, to sell all of the shirts.Use @RISK to analyze the sweatshirt situation in Problem 14 of the previous section. Do this for the discrete distributions given in the problem. Then do it for normal distributions. For the normal case, assume that the regular demand is normally distributed with mean 9800 and standard deviation 1300 and that the demand at the reduced price is normally distributed with mean 3800 and standard deviation 1400.Suppose you have invested 25% of your portfolio in four different stocks. The mean and standard deviation of the annual return on each stock are shown in the file P11_46.xlsx. The correlations between the annual returns on the four stocks are also shown in this file. a. What is the probability that your portfolios annual return will exceed 30%? b. What is the probability that your portfolio will lose money during the year?
- andrew thomas , a sandwich vendor at hard rock cafe 's annual rockfest, created a table of conditional values for various alternatives adn states of nature: alternatives big average small large stock $22,000 $12,000 -$2,000 average stock $14,000 $10,000 $6,000 small stock $9,000 $8,000 $4,000 the probabilities associated with the states of nature are 0.3 for a big demand, 0.5 for an anverage demand, and 0.2 for a small demand. a) determine the alternative that provides andrew the greatest expected monetary value (EMV). b) compute the expected value of perfect information (EVPI).Irwin’s sells a particular model of fan, with most of the sales being made in thesummer months. Irwin’s makes a one-time purchase of the fans prior to eachsummer season at a cost of $40 each and sells each fan for $60. Any fans unsoldat the end of the summer season are marked down to $29 and sold in a special fallsale. Virtually all marked-down fans are sold. The following is the number of salesof fans during the past 10 summers: 30, 50, 30, 60, 10, 40, 30, 30, 20, 40.a. Estimate the mean and the variance of the demand for fans each summer.b. Assume that the demand for fans each summer follows a normal distribution,with mean and variance given by what you obtained in part (a). Determine theoptimal number of fans for Irwin’s to buy prior to each summer season.c. Based on the observed 10 values of the prior demand, construct an empiricalprobability distribution of summer demand and determine the optimal numberof fans for Irwin’s to buy based on the empirical distribution.d. Based on your…Clippers Inc. (CI) manufactures two types of garden clippers. A light-duty model, called the “half-inch,”is intended for clipping branches and stems up to one-half inch thick. The “one-inch” model is designedfor heavier stems and branches. To boost sales, CI decided at the beginning of the current year to reducethe price of the half-inch model to better position its price relative to some key competitors. On the otherhand, CI felt that the one-inch model was technically superior to competitors’ models and decided that asmall price increase was appropriate. The data for the current and prior year are as follows:Current Year Prior YearSales units 7,200 6,500Sales mix for each productHalf-inch model 50% 30%One-inch model 50% 70%PriceHalf-inch model $12.00 $14.00One-inch model $36.00 $32.00Variable cost per unitHalf-inch model $6.00 $6.00One-inch model $8.00 $8.00Fixed cost $35,000 $35,000Required1. Prepare a comparative contribution income statement for CI for the current year that shows…
- From several years’ records, a fish market manager has determined that the weight of deep sea bream sold in the market (X), is approximately normally distributed with a mean of 500 grams and a standard deviation of 100 grams. Assuming this distribution will remain unchanged in the future, the expected proportions of deep sea bream sold over the next year weighing .(i) Between 300 grams and 400 grams is A. 0.1359 B. 0.4681 C. 0.5319 D. None of the options aboveDeborah Kellogg buys Breathalyzer test sets for the Winter Park Police Department. The quality of the test sets from her two suppliers is indicated in the following table: For example, the probability of getting a batch of tests that are 1% defective from Winter Park Technology is .70. Because Kellogg orders 10,000 tests per order, this would mean that there is a .70 probability of getting 100 defective tests out of the 10,000 tests if Winter Park Technology is used to fill the order. A defective Breathalyzer test set can be repaired for $0.50. Although the quality of the test sets of the second supplier, Dayton Enterprises, is lower, it will sell an order of 10,000 test sets for $37 less than Winter Park. a) Develop a decision tree. b) Which supplier should Kellogg use?Deborah Kellogg buys Breathalyzer test sets for the Winter Park Police Department. The quality of the test sets from her two suppliers is indicated in the following table: For example, the probability of getting a batch of tests that are 1% defective from Winter Park Technology is .70. Because Kellogg orders 10,000 tests per order, this would mean that there is a .70 probability of getting 100 defective tests out of the 10,000 tests if Winter Park Technology is used to fill the order. A defective Breathalyzer test set can be repaired for $0.50. Although the quality of the test sets of the second supplier, Dayton Enterprises, is lower, it will sell an order of 10,000 test sets for $37 less than Winter Park. a) Develop a Decision Treeb) Which supplier should Kellog use? Percent Defective Probability for Winter Park Technology Probability for Dayton Enterprises 1 0.70 0.30 3 0.20 0.30 5 0.10 0.40
- What changes occur in the Coefficients of a Nonbasic Variable when the original model is modified?In 2020, a manufacturing company instituted a total quality management (TQM) program producingthe comparative report shown below:[LO 17-5]Summary COQ Report(in thousands)2019 2020 % ChangePrevention costs $ 200 $ 300 +50Appraisal costs 210 315 +50Internal failure costs 190 114 −40External failure costs 1,200 621 −48Total COQ $1,800 $1,350 −25On the basis of this report, which one of the following statements is most likely correct?a. An increase in conformance costs resulted in a higher-quality product and, therefore, a decreasein nonconformance costs.b. An increase in inspection costs was solely responsible for the decrease in quality costs.c. Quality costs such as scrap and rework decreased by 48%.d. Quality costs such as returns and repairs under warranty decreased by 40%.e. Nonconformance costs increased by 50% and conformance costs decreased by approximately 47%.In the original OJ Simpson trial, it was accepted that OJ had battered his wife. OJ’s lawyer tried to negate the impact of this information by stating that in a one-year period, only 1 out of 2500 battered women are murdered, so the fact that OJ battered his wife does not give much evidence that he was the murderer. The prosecution (foolishly!) let this go unchallenged. Here are the relevant statistics: In a typical year 6.25 million women are battered, 2500 are battered and murdered, and 2250 of the women who were battered and murdered were killed by the batterer. How should the prosecution have refuted the defense’s argument?