This exercise illustrates that poor quality can affect schedules and costs. A manufacturing process has 100 customer orders to fill. Each order requires one component part that is purchased from a supplier. However, typically, 2% of the components are identified as defective, and the components can be assumed to be independent. (a) If the manufacturer stocks 100 components, what is the probability that the 100 orders can be filled without reordering components? (b) If the manufacturer stocks 102 components, what is the probability that the 100 orders can be filled without reordering components? (c) If the manufacturer stocks 105 components, what is the probability that the 100 orders can be filled without reordering components?

Q: 5. At Jaxlyn's Garage, 200 cars were inspected and repaired. There were 92 cars that needed new…

A: Probability of an event is computed by taking the ratio of number of favourable outcomes of the…

Q: 13. Trips Logistics, a third-party logistics firm that provides warehousing and other logistics…

A: To evaluate the spot market option, we need to consider the potential outcomes for both demand and…

Q: A hospital receives 1/4 of its flu vaccine shipments from Company X and the remainder of its…

A: Let C = shipment came from XI = One of vials tested is ineffective.P(C)=14P(I|C) =30C1…

Q: A company has 3 plants: A, B and C. Plant A produces 50% of the total production, B produces 30% and…

A: It is given that there are 3 plants in a company i.e. A, B and C A produces 50% of the total…

Q: the potential for new clients to alter the total revenue received by his business. Each new client…

A:

Q: Assume that the fleet consists of 35 percent Lexus, 40 percent Infinity, and 25 percent Mercedes…

A: Given : fleet consist cars 35 percent  Lexus 40 percent  Infinity 25 percent  Mercedes cars have CD…

Q: Benito is trying to decide whether to use one or two suppliers for a major component of his…

A: Given Marginal cost of managing additional supplier =$6000 per year The total shutdown would cost…

Q: 3. Suppose your school is in the midst of a flu epidemic. The probability that a randomly-selected…

A: Given information Let event A denotes that the student has flu Event B denotes that the student is…

Q: Avicenna, a major insurance company, offers five-year life insurance policies to 65-year-olds. If…

A:

Q: defective is 30, 10, 5 and 2, respectively. (a) In a box of 8 widgets from supplier A, what is the…

A: A company gets 5% of its widgets from supplier A, 20% from supplier B, 30% from supplier C and 45%…

Q: Palmer Jam Company is a small manufacturer of several different jam products. One product is an…

A: Given: The probability that demand will be 6 cases is 0.05, for 7 cases it is 0.25, for 8 cases it…

Q: Suppose you are a broker (of junk bonds) who buys only bonds that have a 55% chance of not…

A: Introduction: Denote X as the number of bonds that will not default, among n bonds in a portfolio.…

Q: Assume that the fleet consists of 30 percent Lexus, 30 percent Infinity, and 40 percent automobiles.…

A: It is provided that fleet consists of 30% Lexus, 30% Infinity and 40% Mercedes automobiles. 80% of…

Q: 3. Suppose past data tells us that 12% of patients entering a clinic have liver disease and 5% of…

A: Let A be the event that denotes Patient has liver disease B be the event that denotes patient is…

Q: uppose 58.8% of small businesses experience cash flow problems in their first 5 years. A consultant…

A: Answer  Sample size [n] = 557 P = 58.8% =58.8/100 = 0.588  the probability that greater than 55.85%…

Q: (a) The probability that the defective tire is made by M₁. (b) The probability that the defective…

A: A warehouse has tires from two manufacturers, M₁ and M2. The ware- house has made the following…

Q: A manufacturer of cell phones purchases batteries from a vendor. It is not uncommon to receive…

A: Assume that p as the true proportion of defective batteries.

Q: Suppose a doctor is conducting a clinical trial to test the effectiveness of a new drug for treating…

A:

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.