Margin Of Error Explanation
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Margin Of Error Example
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Margin Of Error Sample Size
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Margin Of Error In Polls
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Margin Of Error Synonym
RELATED ARTICLES How to Interpret the Margin of Error in Statistics Statistics Essentials For Dummies Statistics For what is a good margin of error Dummies, 2nd Edition SPSS Statistics for Dummies, 3rd Edition Statistics II for Dummies Load more EducationMathStatisticsHow to Interpret the Margin of Error in Statistics How to Interpret the http://stattrek.com/statistics/dictionary.aspx?definition=margin%20of%20error Margin of Error in Statistics Related Book Statistics For Dummies, 2nd Edition By Deborah J. Rumsey You've probably heard or seen results like this: "This statistical survey had a margin of error of plus or minus 3 percentage points." What does this mean? Most surveys are based on information collected from a sample of individuals, not http://www.dummies.com/education/math/statistics/how-to-interpret-the-margin-of-error-in-statistics/ the entire population (as a census would be). A certain amount of error is bound to occur -- not in the sense of calculation error (although there may be some of that, too) but in the sense of sampling error, which is the error that occurs simply because the researchers aren't asking everyone. The margin of error is supposed to measure the maximum amount by which the sample results are expected to differ from those of the actual population. Because the results of most survey questions can be reported in terms of percentages, the margin of error most often appears as a percentage, as well. How do you interpret a margin of error? Suppose you know that 51% of people sampled say that they plan to vote for Ms. Calculation in the upcoming election. Now, projecting these results to the whole voting population, you would have to add and subtract the margin of error and give a range of possible results in order to have sufficient confide
Read on Play Newsstand Information Who we are Our charter Our team Partners and funders Contributing institutions Contact us Friends of The Conversation Privacy policy Terms http://theconversation.com/the-margin-of-error-explained-16393 and conditions Corrections Edition: United Kingdom Africa Australia France Global United States Donate Events Become an author Sign up as a reader Sign in Get newsletter Search Academic rigour, journalistic flair Arts + Culture Business + Economy Education Environment + Energy Health + Medicine Politics + Society Science + Technology Brexit Follow Topics Society UK politics Europe EU referendum Syria Islamic margin of State 2016 US Presidential Election Refugee crisis EU Fact Check Subscribe Making sense of the polls The numbers tell thestory The Margin of ErrorExplained July 25, 2013 6.07am BST Adrian Beaumont Author Adrian Beaumont PhD Student, Department of Mathematics and Statistics, University of Melbourne Partners University of Melbourne provides funding as a founding partner of The Conversation AU. Victoria State margin of error Government provides funding as a strategic partner of The Conversation AU. The Conversation UK receives funding from Hefce, Hefcw, SAGE, SFC, RCUK, The Nuffield Foundation, The Ogden Trust, The Royal Society, The Wellcome Trust, Esmée Fairbairn Foundation and The Alliance for Useful Evidence, as well as sixty five university members. View the full list Republish this article We believe in the free flow of information. We use a Creative Commons Attribution NoDerivatives licence, so you can republish our articles for free, online or in print. Republish Email Twitter Facebook LinkedIn What affects a Poll’s Margin of Error? There are two things that affect the margin of error (MOE). They are the poll’s sample size (n) and the estimated or assumed proportion (p); the estimated proportion is just a poll’s percentage divided by 100. The maximum margin of error for a particular sample size is obtained when p = 0.5 (equivalent to 50%). The margin of error is proportional to the square root of p*(1-p). This means that the major parties’ primary votes and two party vote will be near t