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A memorable outlier was the Washington Post/ABC News late-campaign poll in Wisconsin in 2020, which reported Joe Biden was 17 points ahead in the state. Biden carried Wisconsin by less than 1 point.
Outlier polls — those that say something very different from most other polls — tend to get a disproportionate amount of attention because they're so surprising. But that's a really bad habit ...
What a big miss for The Des Moines Register/Mediacom Iowa Poll.It followed an unprecedented worldwide fascination with an outlier poll showing Kamala Harris leading Donald Trump by 3 percentage ...
The modified Thompson Tau test is used to find one outlier at a time (largest value of δ is removed if it is an outlier). Meaning, if a data point is found to be an outlier, it is removed from the data set and the test is applied again with a new average and rejection region. This process is continued until no outliers remain in a data set.
An opinion poll, often simply referred to as a survey or a poll (although strictly a poll is an actual election), is a human research survey of public opinion from a particular sample. Opinion polls are usually designed to represent the opinions of a population by conducting a series of questions and then extrapolating generalities in ratio or ...
In statistics, Grubbs's test or the Grubbs test (named after Frank E. Grubbs, who published the test in 1950 [1]), also known as the maximum normalized residual test or extreme studentized deviate test, is a test used to detect outliers in a univariate data set assumed to come from a normally distributed population.
According to 538's analysis of polls conducted in competitive states* in which over 95 percent of the expected vote was counted as of Nov. 8 at 6 a.m. Eastern, the average poll conducted over the ...
An outlier is an observation which deviates so much from the other observations as to arouse suspicions that it was generated by a different mechanism. [ 2 ] Anomalies are instances or collections of data that occur very rarely in the data set and whose features differ significantly from most of the data.