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A misuse of statistics is a pattern of unsound statistical analysis. They are variously related to data quality, statistical methods and interpretations. Statistics are occasionally misused to persuade, influence and sell. Misuse can also result from mistakes of analysis that result in poor decisions and failed strategies.


The misuse of statistics can be accidental or purposeful. Those with malicious intent sometimes misuse statistics in order to mislead their audience about a subject, a tactic that creates vast social issues and misunderstandings that last for years. Misusing statistics is a broader problem than being a tool for the malicious.


For example, velocities cannot be averaged using an arithmetic mean. Here is an example of an attempt to qualify a race car: By rule, the driver must make an average speed of 60 mi/hr over four laps on a one-mile oval in order to qualify for the race. He killed his engine, and averaged only 30 mi/hr on his first lap.


Statistics, when used in a misleading fashion, can trick the casual observer into believing something other than what the data shows. That is, a misuse of statistics occurs when a statistical argument asserts a falsehood. In some cases, the misuse may be accidental. In others, it is purposeful and for the gain of the perpetrator.


Uses and Abuses of Statistics. Statistics is the science of variation, randomness and chance. As such, statistics is different from the Newtonian sciences, where the processes being studied obey exact deterministic mathematical laws and typically can be described as systems.Since statistics provides tools for data understanding where no other science can, one should be prepared to treat this ...


statistics is used in all aspect of life. so which ever one human finds himself it is alwayz beter to give it a name examples are agricultural statistics, insurance statistics, actuarial ...


Mathematician Rebecca Goldin spoke to members of the Mathematics Association of America about the media's "use and abuse" of statistics. She said "bad science" is often to blame.


In a cross-sectional study of faculty and students from colleges of medicine, Gore reported the 53.87% found statistics to be very difficult, 52.9% could not correctly define the meaning of P value, 36.45% ill-defined standard deviation, and 50.97% failed to correctly calculate sample size.


Child abuse laws usually specify that the harm must be the result of non-accidental acts or omissions, though careless acts of negligence may also be considered child abuse. For example, allowing a known sex offender to babysit a child would be negligent. Even if the child was not harmed during the time he was left alone with the offender, he ...


Misleading Statistics Examples In Real Life. Now that we have reviewed several of the most commons methods of data misuse, let’s look at various digital age examples of misleading statistics across three distinct, but related, spectrums: media and politics, advertising and science.