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**Q1:**The objectives of this experiment are to: • define a refrigeration cycle and quantitative measures of its performance. • evaluate the performance of a cycle based on experimental measurements.See Answer**Q2:**1. To evaluate the performance of a new diagnostic test for disease X, the developer performed a trial on 100 people known to have disease X and 95 of them have positive test results. The test is also performed on 200 control cases known to be free of disease X and 30 of them have positive test results. Based on these data, what is the sensitivity and specificity of the test? (10 marks) 2. Based on all the information currently available, you estimate that Mr. Chen has a 0.2 probability of having disease Y. You order a diagnostic test for disease Y which has a sensitivity of 95% and a specificity of 85%. (a) Suppose that the result comes back positive. Based on all the information now available, what is the probability that Mr. Chen has disease Y? Compute your answer to at least 4 decimal places. (5 marks) (b) On the other hand, suppose that the result comes back negative. Based on all the information now available, what is the probability that Mr. Chen has disease Y? Compute your answer to at least 4 decimal places. (5 marks) 3. A test with 95% sensitivity and 85% specificity is used to screen a population of 10,000 people for disease Z. Previous studies indicated that this population has a 10% prevalence rate for disease Z. What is the expected number of people in the population that will have test results that are correct? (5 marks)See Answer**Q3:**The objectives of this experiment are to: • define a refrigeration cycle and quantitative measures of its performance. • evaluate the performance of a cycle based on experimental measurements.See Answer

- Comsol
- Maintenance Engineering
- Production Planning And Control
- Engineering Cost Analysis
- Industrial Experimentation
- System Engineering
- Human Factors/Ergonomics
- Operation Research
- Statistical Methods In Industrial Engineering
- Stochastic Model Of Industrial Systems
- Computing In Industrial Engineering
- Management Of Inventory Systems
- Production Design And Process Planning
- Quality Design And Control
- Quality Management And Reliability

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