As products come off a large assembly line, they are inspected for quality. They are placed into one of three categories: pass, fail, or need additional inspection. The manager claims that 80% of the products pass the inspection, 5% fail, and 15% need additional inspection. In an effort to increase the passing rate, the machines recalibrated. After this recalibration, a random sample of 100 products is selected. The manager would like to ki if there is convincing evidence that the distribution has changed. What are the appropriate hypotheses? Ho: Ppass = 0.80, Prail = 0.05, Pinspection =0.15 Hoi Ppass =0.80, Pfail = 0.05, Pinspection = 0.15 Hoi Ppass = 0.80, pfail = 0.05, Pinspection =0.15 Ho Not all of the pi's are as stated. Hoi Ppass = 0.80, p ail = 0.05, Pinspection = 0.15 Hai Ppass> 0.80, p tail < 0.05, Pinspection = 0.15 Hoi Ppass = 0.80, Płail = 0.05, Pinspection = 0.15

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