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.
Answer
STEP 2 of 2
using TI 84 calculator
press stat then tests then 1-PropZInt
enter the data
x = 779
n = 6492
c-level = 0.99
press enter, we get
(0.110, 130)
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 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 1 of 2: Suppose a sample of 7002 floppy disks is drawn. Of these disks, 6232 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 7002 floppy disks is drawn. Of these disks, 6232...
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 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 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 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 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 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.
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...