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How can you lie with 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 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.
Can statistics be wrong?
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. When the statistical reason involved is false or misapplied, this constitutes a statistical fallacy.
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.
How statistics can be misused?
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 following are common misuses of statistics. Comparing things that are not comparable or using unfair or impractical criteria of comparison.
How can data be misleading?
The Vertical scale is too big or too small, or skips numbers, or doesn't start at zero. The graph isn't labeled properly. Data is left out.
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.
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