A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the mass of the boxes, a few were checked. The mean mass was 9.2 kg, the standard deviation 0.27 kg. How many boxes must the processor sample to be 99% confident that the sample mean does not differ from the population mean by more than 0.14 kg? (Round the intermediate calculation to 2 decimal places. Round the final answer to the nearest whole number.)
Sample size
Q.1) Given that, population standard deviation = 0.27 kg
Margin of error ( E ) = 0.14 kg
A 99% confidence level has significance level of 0.01 and critical value is,
We want to find, the sample size ( n ),
Therefore, required sample size is 25
Q.2) Given that, margin of error ( E ) = 0.08
A 80% confidence level has significance level of 0.20 and critical value is,
We want to find, sample size for following cases,
a) If estimate of proportion = p = 0.35
Therefore, required sample size is 58
b) If no estimate is given then we assume p = 0.5
Therefore, required sample size is 64
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to...
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the mass of the boxes, a few were checked. The mean mass was 9.2 kg, the standard deviation 0.17 kg. How many boxes must the processor sample to be 99% confident that the sample mean does not differ from the population mean by more than 0.13 kg? (Round the...
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the mass of the boxes, a few were checked. The mean mass was 9.2 kg, the standard deviation 0.17 kg. How many boxes must the processor sample to be 99% confident that the sample mean does not differ from the population mean by more than 0.13 kg? (Round the...
A processor of carrots cuts the green top off each carrot, washes the carrots, and inserts six to a package. Twenty packages are inserted in a box for shipment. To test the mass of the boxes, a few were checked. The mean mass was 9.2 kg, the standard deviation 0.14 kg. How many boxes must the processor sample to be 99% confident that the sample mean does not differ from the population mean by more than 0.10 kg? (Round the...
Suppose the prime minister wants an estimate of the proportion of the population who support his current policy on health care. The prime minister wants the estimate to be within 0.21 of the true proportion. Assume a 90% level of confidence. The prime minister's political advisors estimated the proportion supporting the current policy to be 0.48. (Round the intermediate calculation to 2 decimal places. Round the final answer to the nearest whole number.) a. How large of a sample is...
A processor of carrots cuts the green top of each carrot. washes the carrots, and insert six to a package. Twenty packages are inserted in a box for shipment. To test the mass of the boxes, a few were checked. The mean mass was 9.3kg. The standard deviation 0.16kg. How many boxes must the processor sample to be 95% confident that the sample mean does not differ from the population mean by more than 0.07kg?
Suppose the U.S. president wants an estimate of the proportion of the population who support his current policy toward revisions in the Social Security system. The president wants the estimate to be within 0.026 of the true proportion. Assume a 98 percent level of confidence. The president's political advisors estimated the proportion supporting the current policy to be 0.61. (Round up your answers to the next whole number.) (a) How large of a sample is required? . (b) How large...
Suppose the U.S. president wants an estimate of the proportion of the population who support his current policy toward revisions in the health care system. The president wants the estimate to be within 0.02 of the true proportion. Assume a 95% level of confidence. The president's political advisors estimated the proportion supporting the current policy to be 0.43. (Use z Distribution Table.) a. How large of a sample is required? (Round the z-values to 2 decimal places. Round up your...
Suppose the U.S. president wants an estimate of the proportion of the population who support his current policy toward revisions in the health care system. The president wants the estimate to be within 0.03 of the true proportion. Assume a 90% level of confidence. The president's political advisors estimated the proportion supporting the current policy to be 0.56. (Use z Distribution Table.) How large of a sample is required? (Round the z-values to 2 decimal places. Round up your answer...
Suppose the U.S. president wants an estimate of the proportion of the population who support his current policy toward revisions in the health care system. The president wants the estimate to be within 0.03 of the true proportion. Assume a 98% level of confidence. The president's political advisors estimated the proportion supporting the current policy to be 0.58. (Use z Distribution Table.) a. How large of a sample is required? (Round the z-values to 2 decimal places. Round up your...
Suppose the U.S. president wants an estimate of the proportion of the population who support his current policy toward revisions in the health care system. The president wants the estimate to be within 0.03 of the true proportion. Assume a 98% level of confidence. The president's political advisors estimated the proportion supporting the current policy to be 0.54. (Use z Distribution Table.) a. How large of a sample is required? (Round the z-values to 2 decimal places. Round up your...