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The Importance Of Outliers In Research

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Danielle, I agree with you in that it is not acceptable to drop data because of an outlier, as outliers can be legitimate observations can sometimes be interesting observations. However, in some cases, it may be acceptable to get rid of outliers as they may indicate bad data (Outliers, 2017). Although, researchers should not simply delete the outlying point before they thoroughly investigate why the point is far-off, if the researcher can determine that the outliers are due to erroneous factors, then the researchers should likely delete the point from the analysis (Outliers, 2017). For example, if it is obvious that the outlier is due to data that was incorrectly entered or measured, you should likely drop the outlier. Another example may be

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