I have included a link on outliers. The definition as given in Wikipedia is similar to those in other textbooks: In statistics, an outlier is an observation that is numerically distant from the rest of the data. It is not a rigorous definition, because "numerically distant" adds an element of subjective judgement. Values which are far removed from the typical range (or grouping) of a sample are not necessarily erroneous data. For this reason, the use of adjectives that add some doubt as "apparent" or "possible" to the term outlier is correct. See related link for examples of outliers.
Chat with our AI personalities
Depends on whether the outlier was too small or too large. If the outlier was too small, the mean without the outlier would be larger. Conversely, if the outlier was too large, the mean without the outlier would be smaller.
Calculate the mean, median, and range with the outlier, and then again without the outlier. Then find the difference. Mode will be unaffected by an outlier.
1,2,3,4,20 20 is the outlier range
Yes, it will. An outlier is a data point that lies outside the normal range of data. This means that if it is factored in the mean will move in the direction the outlier is, really high if the outlier was high, and really low if the outlier was low.
the mode is 8 more than the outlier.