Original Problem: A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Suppose a sample of 1087 floppy disks is drawn. Of these disks, 979 were not defective. Using the data, construct the 95% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places. Watch the words defective and not defective. They are tricking. You want answer for defective. (a) In the Original Problem, if I change confidence level to 98% instead of 95%, keep- ing all other factors the same, the length of the Confidence Interval or MarginError in the O
Original Problem: A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Suppose a sample of 1087 floppy disks is drawn. Of these disks, 979 were not defective. Using the data, construct the 95% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places. Watch the words defective and not defective. They are tricking. You want answer for defective.
(a) In the Original Problem, if I change confidence level to 98% instead of 95%, keep- ing all other factors the same, the length of the Confidence Interval or MarginError in the Original Problem increases or decreases?
(b) In the Original Problem, if I change n to 1200 instead of 979, keeping all other factors the same, the length of the Confidence Interval or MarginError in the Orig- inal Problem increases or decreases?
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