The outlier could affect the mean by making it drastically larger or smaller.
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By definition, an outlier will not have the same value as other data points in the dataset. So, the correct question is "What is the effect of an outlier on a dataset's mean." The answer is that the outlier moves the mean away from the value of the other 49 identical values. If the outlier is the "high tail" the mean is moved to a higher value. If the outlier is a "low tail" the mean is moved to a lower value.
An outlier is a number completely different from the rest in a set of data.For example, in the set:13, 17, 22, 15, 19, 11, 342, 14342 is the outlier.
i don't know but it's one ov my vocab that i have to turn in:)
It's possible. An outlier is a number that affects the the mean of a group of numbers greatly. For example the mean in this set of numbers (2, 4, 1, 5) is 3, but if I add the number 93 the new answer is 21.
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.