A)  Find the minimum sample size required to estimate a population proportion with Margin of Error = 0.02, confidence level = 90%,unknown.    B)  Would the required sample size be larger or smaller than this if a prior estimate of were known?

in a study of government financial aid for college students it becomes necessary to estimate the percentage of full-time college student who earn a bachelors degree in four years or less find the sample size need to estimate that percentage use a 0.02 margin of error and use a confidence level of 90%. assume that nothing is known about the percentage being estimated n = ? assume prior studies have shown that about 45% of full-time college students earn a bachelors degree in four years or less n=? does the ad a knowledge in part B have much affect on the sample size? a) yes using the additional survey information from part B only slightly increase the sample size b) no using the additional survey information from part b does not change the sample size c) yes using the additional Survey information from part be dramatically reduces the sample size d) no using the additional survey information from part B only slightly reduces the sample size

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 123 with 27.6% successes at a confidence level of 99%

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 149 with 83.9% successes at a confidence level of 99.5%. M.E. = %3D Report answer accurate to one decimal place (as a number of percentage points). Answer should be obtained without any preliminary rounding (however, the critical value may be rounded to 3 decimal places).

If a sample is used to estimate a population proportion p. What is the the margin of error M.E. that corresponds to a sample of size 151 with 53% successes at a confidence level of 99.9

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 120 with 10.8% successes at a confidence level of 98%.M.E. = %Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places. Round final answer to one decimal place

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 96 with 41.7% successes at a confidence level of 99%. M.E. = Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places. Round final answer to one decimal place

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 149 with 83.9% successes at a confidence level of 99.5%. M.E. = 0.084 X% Report answer accurate to one decimal place (as a number of percentage points). Answer should be obtained without any preliminary rounding (however, the critical value may be rounded to 3 decimal places).

Assume that a sample is used to estimate a population proportion p. Find the margin of error M.E. that corresponds to a sample of size 354 with 96 successes at a confidence level of 80%. M.E. = % (report answer accurate to one decimal place; answer should be reported as a percent, not a decimal—though do not type the percent sign) Answer should be obtained without any preliminary rounding. However, the critical value may be rounded to 3 decimal places.

Workers' Distractions. A recent study showed that the modern working person experiences an average of 2.1 hours per day of distractions (phone calls, e- mails, impromptu visits, etc.). A random sample of 16 workers for a large corporation found that these workers were distracted an average of 1.8 hours per day and the standard deviation was 20 minutes. Estimate the true mean population distraction time with 90% confidence, and compare your answer to the results of the study. (1.654,1.946). Mean of the study is outside or "different" from the result of our study.