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A manufacturer can typically process 176-264 devices a given period of concern. In this situation the processing event is either pass or fail. There is apriori info that on any given set of ~20 devices approx 1device is likely to fail( i.e. binomial w/ .95 prob of success). It is desired that the process should have a process reliability of .995 (which allows approx 3 out of 176 to fail.) If we want to have a confidence level of 90% for a .995 process reliability what is the necessary sample size to achieve this.. given the .95 prob of success for a typical batch of 20 devices? What is the preferred method of approach?
Under new grading scale, how many students will have A's, B's, C's, D's and F's? Do you beleive the instructor must grade on a curve? Explain why or why not?
What is the probability that the team wins tonight and that there will be a large crowd at tomorrow's game?
The perimeter of a rectangular painting is 344cm; if the width of the painting is 73 cm, what is the length?
An accounting professor at a state university in Vermont recently gave a three-question multiple-choice quiz. What is the probability of getting a perfect score if you were forced to guess at each question?
Probability histogran curve of percentage of (P)z
Is there evidence of a significant difference in the variance of the access read times for the three file sizes? Test at the 95% confidence level.
The mean weight for a certain type of fish is known to be 28.0 ounces with a standard deviation of 2.5 ounces . A game warden catches and weighs 30 fish from a certqin pond to check if they are larger than the mean stated above.
What is the appropriate degrees of freedom in this case? Give your answer to four decimal places. What is the lower confidence limit on the interval?
Time spent using e-mail per session is normally distributed, with μ = 8 minutes, and σ = 2 minutes. If you select a random sample of 25 sessions,
Use the binomial distribution formula to calculate the probability that a) out of 5 adults, none is concerned that employers are monitoring phone calls.
Tthe job is normally distributed and has a mean time of 30 minutes with a standard deviation of 8 minutes. How much time should the employer allow employees to finish the job?
Day are 0.49, 0.39, 0.08, and 0.04, respectively. Find the standard deviation for the probability distribution. Round answer to the nearest hundredth.
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