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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.
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.
The book is a brief, breezy illustrated volume outlining the misuse of statistics and errors in the interpretation of statistics, and how errors create incorrect conclusions. In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students.
July’s unemployment rate, the most recent figure available, was 4.3%, the Bureau of Labor Statistics reported. That’s up from 3.5% a year ago. That’s up from 3.5% a year ago.
People who were classified as being two or more races rose from 2.9% to 10.2% of the U.S. population from 2010 to 2020, and the increase was most noticeable among Hispanic people.
It is hard to believe that nowadays we are living in a country where people can be so easily misled. As an immigrant, I had the highest expectations of the American people, but not anymore.
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]
The election is absolutely being rigged by the dishonest and distorted media pushing Crooked Hillary - but also at many polling places - SAD — Donald J. Trump (@realDonaldTrump) October 16, 2016