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Loren Booda
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Would you agree that statistics can be mathematically misrepresented to prove most related arguments both true and false?
Loren Booda said:Would you agree that statistics can be mathematically misrepresented to prove most related arguments both true and false?
That's what I needed to hear.FredGarvin said:I would say that proper statistical models usually rely on a very strict application of techniques and assumptions. It is an area that is not well known by most people so it is very easy to use them improperly. It is no different than any other form of mathematics. People misrepresent statistics. The math does not lie.
Loren Booda said:Would you agree that statistics can be mathematically misrepresented to prove most related arguments both true and false?
The duplicity of statistics refers to the potential for statistical information to be manipulated or misinterpreted in order to support a certain argument or agenda. This can occur through selective reporting of data, biased sampling methods, or misrepresentation of statistical findings.
The duplicity of statistics is a concern because it can lead to false or misleading conclusions being drawn from data. This can have serious consequences in decision-making, policy-making, and public perception.
Identifying the duplicity of statistics requires careful examination of the data and methods used to collect and analyze it. It is important to look for any potential biases or flaws in the study design, as well as considering the source and potential motivations behind the statistics being presented.
Preventing the duplicity of statistics requires transparency and ethical practices in data collection and reporting. This includes using unbiased sampling methods, clearly stating any limitations or potential biases in the data, and avoiding selective reporting of results.
Individuals can protect themselves from the duplicity of statistics by being critical consumers of information. This involves asking questions about the source of the statistics, examining the methods used to collect and analyze the data, and seeking out multiple perspectives on a topic.