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The answer depends on the nature of the outlier. Removing a very small outlier will increase the mean while removing a large outlier will reduce the mean.

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Q: What would happen if a outlier was removed from the mean?
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Would a mean be smaller or larger if you leave out an outlier?

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.


What will happen to the mean if the outlier 80 is taken out of the data set 30 35 80 35 30?

It will go down; with outlier, mean is 42 without outlier, mean is 32.5


What will happen if the outlier is taken out of a data set?

The mean is changed.


How would the outlier affect the mean and median of the data?

An outlier will pull the mean and median towards itself. The extent to which the mean is affected will depend on the number of observations as well as the magnitude of the outlier. The median will change by a half-step.


How does the outlier affect the mean?

An outlier is a number that is very high or very low from the others. For example: 10, 15, 20, 5, 25, 25, 20, 50. Its mean would be 21.25, because the 50 is the numbers' outlier.


How do you determine how the outlier affects the mean median mode and range?

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.


What is the term for an exceptional value that can dramatically affect the mean?

That would be outlier.


How does an outlier in a group of numbers affect the mean of the numbers?

The outlier skews the mean towards it.


If an outlier is included with a sample of 50 values all of which are the same what is the effect of the outlier on the mean?

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.


How does outlier affect mean median mode?

An outlier pulls the mean towards it. It does not affect the median and only affects the mode if the mode is itself the outlier.


Between Mean Median and Mode which are affected most by an outlier?

The mean is affected the most by an outlier.


What does the outlier mean?

The outlier is the value that is really far off, for example say you had playing times of songs and most songs were 2 - 4 minutes, but one was 17 minutes, then this would be your outlier. I Hope this helps!