A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2: Suppose a sample of 498 floppy disks is drawn. Of these disks, 464 were not defective. Using the data, construct the 90% confidence interval for the population proportion of disks that are defective. Round your answers to three decimal places.
sample proportion, pcap = (498 - 464)/498= 0.068
sample size, n = 498
Standard error, SE = sqrt(pcap * (1 - pcap)/n)
SE = sqrt(0.068 * (1 - 0.068)/498) = 0.0113
Given CI level is 90%, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, Zc = Z(α/2) = 1.645
CI = (pcap - z*SE, pcap + z*SE)
CI = (0.068 - 1.645 * 0.0113 , 0.068 + 1.645 * 0.0113)
CI = (0.049 , 0.087)
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are...
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 464 floppy disks is drawn. Of these disks, 51 were defective. Using the data, construct the 80% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 1 of 2: Suppose a sample of 338 floppy disks is drawn. Of these disks, 318 were not defective. Using the data, estimate the proportion of disks which are defective. Enter your answer as a fraction or a decimal number rounded to three decimal places. A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective....
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 1762 floppy disks is drawn. Of these disks, 70 were defective. Using the data, construct the 90% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2: Suppose a sample of 715 floppy disks is drawn. Of these disks, 651 were not defective. Using the data, construct the 90% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 815 floppy disks is drawn. Of these disks, 114 were defective. Using the data, construct the 90% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 1067 floppy disks is drawn. Of these disks, 993 were not defective. Using the data, construct the 80% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 587 floppy disks is drawn. Of these disks, 523 were not defective. Using the data, construct the 85% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 2 of 2 : Suppose a sample of 64926492 floppy disks is drawn. Of these disks, 779779 were defective. Using the data, construct the 99%99% confidence interval for the population proportion of disks which are defective. Round your answers to three decimal places.
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 1 of 2: Suppose a sample of 985 floppy disks is drawn. Of these disks, 917 were not defective. Using the data, estimate the proportion of disks which are defective. Enter your answer as a fraction or a decimal number rounded to three decimal places. Suppose a sample of 985 floppy disks is drawn. Of these disks, 917 were not defective. Using...
A quality-conscious disk manufacturer wishes to know the fraction of disks his company makes which are defective. Step 1 of 2: Suppose a sample of 625 floppy disks is drawn. Of these disks, 538 were not defective. Using the data, estimate the proportion of disks which are defective. Enter your answer as a fraction or a decimal number rounded to three decimal places. Step 2 of 2: Suppose a sample of 625 floppy disks is drawn. Of these disks, 538...