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False precision (also called overprecision, fake precision, misplaced precision, and spurious precision) occurs when numerical data are presented in a manner that implies better precision than is justified; since precision is a limit to accuracy (in the ISO definition of accuracy), this often leads to overconfidence in the accuracy, named precision bias.
One usable definition is: "Misuse of Statistics: Using numbers in such a manner that – either by intent or through ignorance or carelessness – the conclusions are unjustified or incorrect." [1] The "numbers" include misleading graphics discussed in other sources. The term is not commonly encountered in statistics texts and there is no ...
In statistics, a misleading graph, also known as a distorted graph, is a graph that misrepresents data, constituting a misuse of statistics and with the result that an incorrect conclusion may be derived from it. Graphs may be misleading by being excessively complex or poorly constructed.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
Simpson's paradox has been used to illustrate the kind of misleading results that the misuse of statistics can generate. [ 7 ] [ 8 ] Edward H. Simpson first described this phenomenon in a technical paper in 1951, [ 9 ] but the statisticians Karl Pearson (in 1899 [ 10 ] ) and Udny Yule (in 1903 [ 11 ] ) had mentioned similar effects earlier.
A steady stream of false and misleading information is circulating online around the 2024 election. Two videos circulating on social media on Wednesday are falsely claiming they show wrongdoing around voting in Pennsylvania, a key swing state. Officials provided details on what is actually shown in the videos. Here’s a look at the facts.
In mathematics, certain kinds of mistaken proof are often exhibited, and sometimes collected, as illustrations of a concept called mathematical fallacy.There is a distinction between a simple mistake and a mathematical fallacy in a proof, in that a mistake in a proof leads to an invalid proof while in the best-known examples of mathematical fallacies there is some element of concealment or ...
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