How large a sample is necessary to estimate the true proportion of unmarried Canadians aged 25-29 within 5% error with 90% confidence?

3. What is the margin of error? 4. What is meant by the 95% confidence interval of the mean?

What is the approximate sample size required to estimate the percentage of Americans who have earned a college degree to within 2%, with 95% confidence?

A researcher wishes to estimate the frue proportion of all speeders who exceed the posted speed limit on a particular stretch of road in the Canyonlands National Park where there are frequent accidents. How large should the sample be so that with 97 percent confidence, the sample proportion will not differ from the true proportion by more than 0.311?

A researcher wishes to estimate the true proportion of all speeders who exceed the posted speed limit on a particular stretch of road in the Canyonlands National Park where there are frequent accidents. How large should the sample be so that with 91 percent confidence, the sample proportion will not differ from the true proportion by more than 0.261?z = n ⩾

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?Group of answer choices

Determine the margin of error in estimating the population mean, μ. Based on a sample of size 44, a 95% confidence interval for the mean score of all students, μ, on an aptitude test is from 67 to 72. Find the margin of error.

If a 95% Confidence for the Population Proportion is (0.56, 0.78), fınd its Margin of Error.

A hospital administrator wants to estimate the proportion of patients whose hospital stay exceeds a week. How many patients should be sampled to estimate the proportion staying more than a week to within 4 percentage points with 90% confidence?