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Though there are many approximate solutions (such as Welch's t-test), the problem continues to attract attention [4] as one of the classic problems in statistics. Multiple comparisons: There are various ways to adjust p-values to compensate for the simultaneous or sequential testing of hypotheses. Of particular interest is how to simultaneously ...
The misuse of Statistics can trick the observer who does not understand them into believing something other than what the data shows or what is really 'true'. That is, a misuse of statistics occurs when an argument uses statistics to assert a falsehood. In some cases, the misuse may be accidental.
The spine of federal data has always been the decennial census, the latest edition of which is being conducted this year. The kind of cross-section the census provides to officials at every level is impossible to beat, said Joe Salvo, the director of the population division in New York City’s Department of City Planning: “We may complain about the census, its warts and so on.
The origin of the phrase "Lies, damned lies, and statistics" is unclear, but Mark Twain attributed it to Benjamin Disraeli [1] "Lies, damned lies, and statistics" is a phrase describing the persuasive power of statistics to bolster weak arguments, "one of the best, and best-known" critiques of applied statistics. [2]
Frey admitted to the self-plagiarism, terming the acts "grave mistake[s]" and "deplorable." [293] [294] Karl-Theodor zu Guttenberg (Germany), former Minister of Defence of Germany, resigned from his office because of plagiarism in his doctoral dissertation from the University of Bayreuth.
Typos can do more than damage the credibility of a publication. Penguin books in Australia recently had to reprint 7,000 copies of a now-collectible book because one of the recipes called for ...
Image credits: anon #6. Laundry. I had always been taught that you need to wash a shirt, pants, or whatever else after wearing it only once. So I have been doing this for years and years.
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.