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The outlier skews the mean towards it.

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

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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.

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.

The outlier could affect the mean by making it drastically larger or smaller.

The mean. Or the mode.

The mean is better than the median when there are outliers.

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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.

The outlier is capable of affecting mean median mode and range it affects mean because the average has changed if affects median because you have to cross out 1 more letter it doesn't affect mode it does affect range because an outlier is a number that i far away from the other numbers * * * * * It does not affect the median.

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.

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.

An outlier can increase or decrease the mean and median It usually doesn't affect the mode

The outlier could affect the mean by making it drastically larger or smaller.

An outlier does affect the mean of the data. How it's affected depends on how many data points there are, how far from the data the outlier is, whether it is greater than the mean (increases mean) or less than the mean (decreases the mean).

The mean. Or the mode.

it messes up the mean and sometimes the median. * * * * * An outlier cannot mess up the median.

Yes, no, and no. The mean uses all numbers so it WILL be influenced by an outlier (sometimes heavily). The median is the middle number, so it can't be. The mode is the most frequent number, so it really can't be.

The mean is better than the median when there are outliers.

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.