for 33 i know the answer is 13 do i put 14 or none of the above? thank you

Carmen Given the sample results (100 units in each sample): Sample Number Fraction Number of Errors Defective 1 0 0.01 2 9 0.09 3 6 0.06 7 0,07 0.02 0.07 0.07 0.05 0.04 0.05 st 4 5 2 7 7 6 7 8 5 9 4 10 5 The p-bar values is 0.53 Question 28 Variations that will occur in production processes are referred to as: O assignable. O nonrandom. O natural or random. O process O None of the above. Question 29 4 pts Joe has plans to open some pizza restaurants, but he is not sure how many to open. He has prepared a payoff table to help analyze the situation. STATES OF NATURE ALTERNATIVES Good Market Fair Market Poor Market Open 1 380,000 70,000 -400,000 Open 2 200,000 80,000 -200,000 0 Do Nothing 0 0 Nick believes there is a 40 percent chance that the market will be good, a 40 percent chance that it will be fair, and a 20 percent chance that it will be poor. A market research firm will analyze market conditions and will provide a perfect forecast (they provide a money back guarantee). What is the most that should be paid for this forecast (perfect information)? O $184,00 O 100,000 O 72,000 84,000 None of the above, Sample Number of Fraction Number Errors Defective 1 0 0.00 0.09 0.06 0.07 0.02 0.07 0.07 0.05 9 0.04 10 5 0.05 The 95.5% (2-2) upper and lower control limits are approximately; 0.02 and 0.10 0.10 and 0,01 0.052 and 0.02 2 3 4 5 S 7 Co 9 6 7 2 7 7 5 4 Question 33 The completion time of a project is expected to be 44 weeks, with a standard deviation of 2.67 weeks. What is the probability that the project will NOT be finished in 52 weeks or less? O99.865% O 100% O 0.5 O 0.14% O None of the above. D Question 35 4 pts A design engineer wants to construct a sample mean chart for controlling the service life of one of the types of light bulbs his company produces. He knows from numerous previous samples that this service life is normally distributed with a mean of 500 hours and a standard deviation of 20 hours. On three recent production batches, he tested service life on random samples of four bulbs, with these results: Sample SERVICE LIFE hours 1 495 505 500 505 2 525 515 505 515 3 475 485 465 475 If he uses upper and lower control limits of 505 and 470 hours, on what sample(s) (if any) does service life appear to be out of control? O Sample 1 O Sample 2 Sample 3- O Samples 1 & 3 The correct answer is not provided