The margin of error can be defined by either of the following equations. Margin of error = Critical value x Standard deviation of the statistic. Margin of error = Critical value x Standard error of the statistic. If you know the standard deviation of the statistic, use the first equation to compute the margin of error. Otherwise, use the second equation. Previously, we described how to compute the standard deviation and standard error.
http://stattrek.com/estimation/margin-of-error.aspx?tutorial=ap
1 This is typically the case when you are computing the margin of error for a survey which is going to be conducted in the future. 2  It is also useful for getting a general ballpark figure for a sample as a whole. 3  In this case, you use Formula One. 4  You are given a percentage result, e.g., 65% voted for Candidate Blowhard.
http://crab.rutgers.edu/%7Egoertzel/marginsoferror.htm
Margin of error is the product of Critical value and the Standard deviation or standard error of the statistic. The critical value is an important term used to compute the margin of error. When one of these conditions is satisfied, the critical value is to be expressed as t score or z score.
http://math.tutorvista.com/statistics/margin-of-error.html
1 In this case you use Formula Two. 2  You are told the margin of error which is acceptable, and asked to compute the sample size. 3  In this case you use Formula Three. 4  If not told otherwise, assume that any question which asks for a sample size wants a margin of error for percentages.
http://crab.rutgers.edu/%7Egoertzel/marginsoferror.htm
1 y ou are told only the size of the sample and are asked to provide the margin of error for percentages which are not (yet) known. 2  This is typically the case when you are computing the margin of error for a survey which is going to be conducted in the future.
http://crab.rutgers.edu/%7Egoertzel/marginsoferror.htm
If the statistic is a percentage, this maximum margin of error can be calculated as the radius of the confidence interval for a reported percentage of 50%. The margin of error has been described as an absolute quantity, equal to a confidence interval radius for the statistic.
https://en.wikipedia.org/wiki/Margin_of_error
1 You are given a percentage result, e.g., 65% voted for Candidate Blowhard. 2  In this case you use Formula Two. 3  You are told the margin of error which is acceptable, and asked to compute the sample size. 4  In this case you use Formula Three.
http://crab.rutgers.edu/%7Egoertzel/marginsoferror.htm
Like confidence intervals, the margin of error can be defined for any desired confidence level, but usually a level of 90%, 95% or 99% is chosen (typically 95%). This level is the probability that a margin of error around the reported percentage would include the true percentage. Along with the confidence level, the sample design for a survey, and in particular its sample size, determines the magnitude of the margin of error.
https://en.wikipedia.org/wiki/Margin_of_error
The margin of error for a particular statistic of interest is usually defined as the radius (or half the width) of the confidence interval for that statistic. The term can also be used to mean sampling error in general.
https://en.wikipedia.org/wiki/Margin_of_error
The margin of error is a statistic expressing the amount of random sampling error in a survey 's results. It asserts a likelihood (not a certainty) that the result from a sample is close to the number one would get if the whole population had been queried.
https://en.wikipedia.org/wiki/Margin_of_error
what is the margin of error formula
The margin of error formula is margin of error is equal to the critical value into standard deviation of the statistic. The formula of the margin of error is "margin of error is equal to the product of critical value and standard deviation of the statistic".