Operating characteristic (OC) curve, n = 150, c = 3 A lot of N = 3500 books arrives at a bookstore. To check if the entire lot is acceptable, a random sample of n = 150 books is taken from the lot and if c = 3 or less of the books are found to be defective in any way (misprints, bad binding and so on), the entire lot is accepted. chance of accepting lot Pa 0.75 0.50 0.25 ideal OC curve, c=3 (p = 0.02) 0.02 0.05 0.10 0.15 0.20 proportion of defective books in sample a. If four (4) defective books are found in the sample of n = 150, the entire lot of booksis: accepted / rejected. b. If one (1) defective book is found in the sample of n = 150, the entire lot of books is: accepted/rejected. c. According to the OC curve, the chance of accepting the lot is Pa = (choose one) 0.75/0.95/1 if there are (unknown to us) actually zero (0) defective books in the sample of n = 150. d. According to the OC curve, the chance of accepting the lot is Pa = (choose one) 0.00012/0.00047/0.00171 if there are (unknown to us) actually 15 defective books in the sample of n = 150 or, in other words, p = 15 150 = 0.10. e. According to the OC curve, the chance of accepting the lot is Pa = (choose one) 0.657/0.935/1 if there are (unknown to us) actually 3 defective books in the sample of n = 150 or, in other words, p=3 150 = 0.02. f. An ideal OC curve is one where there is a 100% chance of accepting the lot that has 3 or fewer defective books and so a 0% chance of accepting a lot that has 4 or more defective books. The larger the sample size, n, the (choose one) closer/ farther the OC curve will be (to) / (away from) the ideal OC curve