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An outlier will have a huge affect on the range as the range is the largest value minus the smallest value.

Q: How does an outlier effect the range?

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On the standard deviation. It has no effect on the IQR.

1,2,3,4,20 20 is the outlier 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.

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

Range is the largest minus the smallest value in the data set. An outlier is a value that is far away from the majority of the data.

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.

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.

an outlier can be found with this formula... Q3-Q1= IQR( inner quartile range) IQR*1.5=x x+Q3= anything higher than this # is an outlier Q1-x= anything smaller than this # is an outlier

An outlier can make the range go up.Example:say you have the numbers. 2,5,4,1,7,and 18.in order from least to greatest: 1,2,4,5,7,18range is the greatest number - the littlest number.so in this case it is 18-1 which equals 17say if there was no outlier and the highest number was 7it would be 7-1 which is 6 and it makes the outlier smaller....

If the outlier is excluded the median of the data will be higher.

the outlier is 23 and it made it decrease

Outliers are a number that are way out of the data range. They are pretty obvious to pick out; for example: 1,3,4,4,6,3,2,8,26,5,2,1 The outlier would be the number 26.