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The throughput yields of five subprocesses in series to execute in order are: 90%, 92%, 91%, 91.3%, and 89%, respectively. What is the probability that

The throughput yields of five subprocesses in series to execute in order are: 90%, 92%, 91%, 91.3%, and 89%, respectively. What is the probability that the order executed through this five subprocesses in series is defect free? A 99% B 89% C 61.23% D 92.26% Question: If you computed correlation coefficient r = +1.2 on your scatter diagram, which of the following is true? A You have a better than perfect positive correlation B You have no residual error C You have an error in your calculations D Your value of 1.2 exceeds the critical value or 1.0, and there is a strong correlation Your browser does not support inline frames or is currently configured not to display inline frames. Question: The manager is asked to provide Cpk data for a specific parameter that is shown to be in control and predictable. The Cpk data for a weekly sample of 30 in each of the first six is 1.65, 1.58, 1.67, 1.59, 1.68, and 1.71. Your reaction is A Revise how the samples are collected for better repeatability B Reduce the frequency of Cpk monitoring. C Increase the frequency of Cpk monitoring. D Initiate an immediate corrective action request Question: With the above design, which of the following statements is true? A P is confounded with the PYE interaction B Y is confounded with the PY interaction C YE is confounded with Y D PE is confounded with E Question: According to the central limit theorem, which of the following statements is true? A The distribution of the sum (or average) of a large number of independent, identically distributed variables will be approximately normal, regardless of the underlying distribution. B The center of a distribution is limited to move NO MORE THAN 1.5 standard deviations. (also known as the 1.5 sigma shift) C The center of dispersion of a SAMPLE (x-bar) is limited by the size of the sample. D The central tendency of a distribution is limited by common-cause variation. Question: You have been asked to review a control chart and investigate any abnormal (or special cause) variation. Which of the following options is NOT a good indication of abnormal or special cause variation? A Data points outside the control limits, regardless of their proximity with respect to the specification limits B Data points inside the control limits, but outside of the specification limits C Look for seven points in a row heading in an upward direction D Look for seven points in a row either above or below the grand average

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