QUESTION 1 Consider a system with 4 independent stages, each of which must function correctly in succession for the system to operate properly. In other words, stage 1 must function correctly, then stage 2 must function correctly, then stage 3 must function correctly, and then stage 4 must function correctly. If any of the stages fail to function correctly, the system fails. The reliability at initiation (when we attempt to use it) for stage 1 is .9773, stage 2 is .8899, stage 3 is .9913, and stage 4 is .9884. The system reliability at initiation is . Round your answer to 4 decimal places and do not include a leading zero. You have been given a budget to increase the system reliability as high as possible. You have only two options: 1) you may replace one of the stage's machine with a machine that has a reliability of .9995, or 2) you may add two backup machines to add redundancy to whichever stages you wish one of the backup machines has a reliability of .8500 and the other has a reliability of .8000. If you choose option 1, the maximum system eiciency you can achieve is . Round your answer to 4 decimal places and do not include a leading zero. If you choose option 2, the maximum system eiciency you can achieve is . Round your answer to 4 decimal places and do not include a leading zero. Your newly optimized system produces an electronic component that fails in an average of 96 months after it is manufactured. The probability that a component will fail in less than 3 years is . Round your answer to 4 decimal places and do not include a leading zero. QUESTION 2 Consider a one-item survey as follows: Using a scale of 1 5 in which 1 = Not as well as I hoped, 2 = Pretty well, 3 = Well, 4 = Very well, and 5 = Crushing it, please indicate how well you are doing so far in your MBA 503 course. 1 2 3 4 5 What type of data does this survey generate? Choose all that apply. 7 Continuous _ Ratio 7 Time series Exponential i Binomial _ Interval 7 Biased _ Intersection 7 Union _ Hypergeornetric 7 Ordinal _ None of the above QUESTION 3 If you have a data set of 11 items, the data are continuous variables, the data set is unimodal, and the data set is too skewed to use the normal distribution, which probability distribution should you use to calculate probabilities? R Discrete uniform distribution K Binomial distribution x Poisson distribution 7' Hypergeometric distribution K Geometric distribution 7' Uniform continuous distribution " Standard normal distribution 7' Exponential distribution K Triangular distribution R None of the above QUESTION 4 You timed every kth dog grooming session over the course of a month, which resulted in 35 timed sessions. There was no pattern regarding the appointment time or day of the week based on the systematic sampling method. You recorded each time in a spreadsheet and calculated the mean to be 39.77 minutes and the standard deviation to be 6.3 minutes. Construct an interval estimate so that you expect the population mean to lie outside of the interval approximately 8% of the time. The standard error is , the margin of error is i , the lower boundary is and the upper boundary is . Round your answers to 4 decimal places. QUESTION 5 Construct a 90% condence interval around a sample standard deviation when n is 88 and s is 3.85. Round your answers to 4 decimal places. " [11.7475, 19.3925] " [193925117475] [3.4275, 4.4037] " [4403134275] R There is not enough information to answer this question None of the above Q U E S T I O N 6 P(R = .3315), P(T = .5442), and P(R|T) = .3315. Are events R and T independent? Yes a No There is not enough information to answer this question None of the above QUESTION 7 The number of items in the population is 25 ,000. The number of blue items in the population is 315. The number of items in the sample is 500. The probability of observing more than 8 blue items in the sample is Round your answer to 4 decimal places. \"'.1145 "\".8180 '\".1820 \"'630 There is not enough information to answer this question None of the above Anne-\"nu n QUESTION 8 The average number of phone calls to a call center on Thursday nights from 10:00 PM to 11:00 PM is 6.3. The probability of less than 3 calls being received by that call center on any given Thursday night 'om 10:00 PM to 11 :00 PM is . Round your answer to 4 decimal places. .1264 .0765 .0364 .0498 There is not enough information to answer this question None of the above