Which of the following description(s) is (are) incorrect?A. Failure of a continuously monitored component would be immediately revealed.B. Scheduled, condition-based and corrective maintenance approaches are planned approaches.C. Unrevealed failure does not contribute to the system unavailability.D. Availability at a time instant quantifies the probability that the system fulfills the assignedmission.

C. Unrevealed failure does not contribute to the system's unavailability.This statement is…

Answered: Which of the following description(s)…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Plant X manufactures 70 percent of a certain company's bicycles, and Plant Y manufactures 30 percent. It has been found that 4 percent of the bicycles manufactured at Plant X and 5 percent of the bicycles manufactured at Plant Y are defective. What percent of the bicycles manufactured by the company are not defective? O 87.2% O 91.3% O 95.5% O 95.7%
Without Wait-Tracking System With Wait-Tracking System 24 31 67 11 17 14 20 18 31 12 44 37 12 9 23 13 16 12 37 15 6. Suppose that the average waiting time for a patient at a physician’s office is just over29 minutes. To address the issue of long patient wait times, some physicians’ offices areusing wait-tracking systems to notify patients of expected wait times. Patients can adjusttheir arrival times based on this information and spend less time in waiting rooms. Thefollowing data show wait times (in minutes) for a sample of patients at offices that do nothave a wait-tracking system and wait times for a sample of patients at offices with suchsystems.(Please refer to the PatientsWait Data).a. What are the mean and median patient wait times for offices with a wait tracking system?What are the mean and median patient wait times for offices without a wait-tracking system?b. What are the variance and standard deviation of patient wait times for offices with…
Urgent Care is organized in to 4 department: Registration (Reg), Waiting (Wait), Treatment (Treat), and Payment & Check Out (PCO). For all patients who receive treatment at the Urgent Care, the expected time (in minutes) per patient needed in each of the departments: Reg. Wait. Treatment PCO 10 15 30 3 or 2 All patients enter and register at the registration cubicle. After registering, 10% of the patients walk out without waiting and seeing the physician for treatment. However, still they have to walk through the PCO & return the admissions slip. These patients need only 2 min at PCO (instead of 3 min). No waiting and treatment time for patients who walk out. Simulate the total time spent in the Urgent care for the first patient. Total time spent by Patient 1 at the Urgent Care is . RN: 0.05 Hint: Need to check (simulate) whether a patient, after registering( 10 min), walks out or not. O 2 min O 12 min O 10 min O None of these
section 5.4 Drug usage in the workplace costs employers incredible amounts of money each year. Drug testing potential employees have become so prevalent that drug users are finding it extremely hard to find jobs. Drug tests, however, are not completely reliable. To decrease the likelihood of making an error, all potential employees are screened through two tests, which are independent. One test has a 96% accuracy and the other has a 97% accuracy. Step 1 of 2 : If a person were drug free, what is the probability they would fail both tests? Round your answer to four decimal places, if necessary.
A corporation owns several companies. The strategic planner for the corporations believes dollars spend on advertising can to some extend be a predictor of total sales dollars. As an aid in long-term planning, she gathers the following sales and advertising information from several of the companies for 2017 ($ millions). Advertising Sales12.5 1483.7 5521.6 33860.0 99437.6 5416.1 8916.8 12641.2 379 i. Based on the output given, develop the equation of the simple linear regression line to predict sales from advertising expenditures using this data.ii. Explain the values of r and r 2 .iii. Predict the sales if the advertising expenditures is 50 ($ millions).iv. Do the data support the existence of a linear relationship between advertising…
A consulting group recently conducted a global survey of product teams with the goal of better understanding the dynamics of product team performance and uncovering the practices that make these teams successful. One of the survey findings was that 32% of organizations have a coherent business strategy that they stick to and effectively communicate. Suppose another study is conducted to check the validity of this result, with the goal of proving that the percentage is less than 32%. Complete parts (a) and (b) below. a. State the null and research hypotheses. Identify the null and alternative hypotheses. O A. Ho: as0.32; H,: a>0.32 O B. Ho: 120.32; H: <0.32 OC. Hoi a#0.32; H: =0.32 O D. Ho: 1=0.32; H4: n#0.32 b. A sample of 200 organizations is selected, and results indicate that 58 organizations have a coherent business strategy that they stick to and effectively communicate. Use the p-value approach to determine at the 0.05 level of significance whether there is evidence that the…
The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 8.7% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. (b) Assuming his suspicion that 8.7% of his customers buy a magazine is correct, what is the probability that exactly 3 out of the first 14 customers buy a magazine? Give your answer as a decimal number rounded to two digits.
4. I was able to convince the plan manager to allow me to make the change to the larger production plant. My job's on the line now! So I am monitoring it pretty closely. Here are the results for the day: Table 4. Production rate from pilot plant demonstration tests. Run # 1 2 3 4 5 P (pounds per hour) 2200 2200 2300 2200 2300 From these data, please estimate: a. Estimate the Type A uncertainty in these measurements. Be sure to include the units. b. Estimate the Type B uncertainty associated with these measurements. Be sure to include units. C. Determine the uncertainty in the measurement of pressure in the cylinder. Be sure to include units. State your answer as average +/- uncertainty.
adapted from Safe and Healthy Travel to a Mass GatheringCenters for Disease Control and Prevention International events draw huge crowds and come with unique risks to travelers. Whether they are planned years in advance, such as the Olympics, or happen more spontaneously, such as a president's memorial service, mass gatherings present several problems. They are associated with crowding at venues, poor hygiene from temporary food and sanitation facilities, and challenging security situations. The risk of infectious diseases increases because of crowded conditions and the influx of attendees from around the world. A mass gathering can be thought of as any gathering of people that is large enough to strain local resources. Typically, they involve a large number of people—sometimes numbering in the millions—at a specific location, for a specific purpose, and for a defined time frame. 16 Select the correct location on the image. Which flash card correctly explains…
i need part a and b solution
Again recall Table 8a from the working paper "The Market for Financial Advisor Misconduct" discussed in Lecture 7 and HW 7. For your convenience, the table is reproduced below. Table 8a. Consequences of Misconduct: Industry and Firm Discipline No Misconduct Misconduct Remain with the Firm 81.29% 51.99% Leave the Firm 18.71% 48.01% Leave the Industry 8.92% 26.96% Join a Different Firm (within 1 year) 21.05% 9.79% Note: Table 8a displays the average annual job turnover among financial advisers over the period 2005-2015. The table shows, on average, the percentage of advisers that remain with their firm, leave the industry (for at least one year) or join a new firm (within a year). The job transitions are broken down by whether or not the advisor was disciplined for misconduct in the previous year. Consider randomly selecting five financial advisors who were disciplined for misconduct in the previous year. What is the chance that at least one of them leaves the firm? (Answer as a…
Question: Solve the following problem using M/M/1 queueing model analytically: Consider a service facility with a single server and assume M/M/1 queueing model, for ? values of [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9] and ? value of 4. Find the below steady state parameters: ??: Steady-state probability of having ? customers in system, assume ? = [0,1,2,3,4,5,6,7,8,9]. ?: Long-run time-average number of customers in system. ??: Long-run time-average number of customers in queue. ?: Long-run average time spent in system per customer. ??: Long-run average time spent in queue per customer.

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