How large must the sample size be in order to to estimate a true proportion to within one percentage point MARGIN OF ERROR with 90 percent confidence? NONE OF THE OTHERS 6765 6766 16589

use the given data to find the minimum sample size required to estimate the population proportion. margin of error:0.07; confidence level: 95%; from a prior study, p is estimated by the decimal equivalents of 90%

With 99% confidence, maximum error is 0.06 and the proportion p = 0.5. Find the sample size. a. 463 b. 436 c. 364 d. 643 e. NONE OF THE ABOVE A

Using the given margin of error, confidence level, and likely range for the observed value of the sample proportion, obtain a sample size that will ensure a margin of error of at most the one specified (provided, of course, that the observed value of the sample proportion is further from 0.5 than the educated guess). margin of error = 0.01; confidence level = 95%; likely range = 0.3 to 0.4 The required sample size is n = (Round up to the nearest whole number.)

For the specified margin of error and confidence​ level, obtain a sample size that will ensure a margin of error of at most the one specified.   margin of error=0.05​;confidence level=95​%

We want to obtain a sample to estimate a population mean. Based on previous evidence, researchers believe the population standard deviation is approximately �=76.5. We would like to be 90% confident that the estimate is within 2.5 of the true population mean. How large of a sample size is required?n = ___

Researchers studied the mean egg length (in millimeters) for a bird population. After taking a random sample of eggs, they obtained a 95% confidence interval of (45,60). What is the value of the margin of error? Choose the correct answer below. A. 15 mm B. 52.5 mm O c. 7.5 mm O D. 1.96

What sample size is needed to give a margin of error within +2.5% in estimating a population proportion with 99% confidence? We estimate that the population proportion is about 0.3. Round your answer up to the nearest integer. Sample size = ! %3D

We selected a random sample of size 200 from a pool of university students and asked whether they use Facebook on a regular basis. Eighty replied yes. What would be your estimation of the standard error of the sample proportion of regular Facebook users based upon the given information?