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How can statistics be misinterpreted?
Statistical data can be misinterpreted if either: The quality (will return to this notion later) indicator is ill-constructed (overs implication of the underlying hypotheses for example) Or the quality indicator is well constructed but used in the wrong way.
How can statistics be misleading?
Misleading statistics, on the other hand, is a term that refers to the misusage of numerical data, either intentionally or due to error, that results in misleading information. Misleading statistics can deceive the receiver of the information if the receiver is not careful to notice the error or deception.
How can we avoid misleading statistics?
5 Ways to Avoid Being Fooled By Statistics. Do A Little of Math and apply Common Sense. Always Look for the Source and check the authority of the source. Question if the statistics are biased or statistically insignificant. Question if the statistics are skewed purposely or Misinterpreted.
How can data be misrepresented or misleading?
Omitting The Baseline. Omitting baselines, or the axis of a graph, is one of the most common ways data is manipulated in graphs. This misleading tactic is frequently used to make one group look better than another. Truncating graphs can make something that is not very significant look like a massive difference.
How do you lie about statistics?
View Correlations with Skepticism. Relationships Don't Last Forever. Always Look at the Axes on a Chart. Small Samples Produce Shocking Statistics. Look at all the Numbers that Describe a Dataset. Check which Average is Used. Use Comparisons to a Common Baseline. Look for Bias in Sample Selection.
Why is it so easy to lie with statistics?
Why is it so easy to lie with statistics? They can be easily manipulated and distorted depending on which area you are using the statistics, they help to clarify or strengthen a speaker's points. You have to use them sparingly and make them meaningful to your audience, use them fairly.
How statistics can be misleading?
Misleading statistics are simply the misusage purposeful or not of a numerical data. The results provide misleading information to the receiver, who then believes something wrong if he or she does not notice the error or the does not have the full data picture.
Can statistics be manipulated?
There are several undeniable truths about statistics: First and foremost, they can be manipulated, massaged and misstated. Second, if bogus statistical information is repeated often enough, it eventually is considered to be true. As to Point One, consider a presidential debate.
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