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Range subtracts the lowest value from the value in your data set. If you have an outlier, meaning a number either obviously outside the data, your range will be incorrect because one of the values will not represent the average pattern of the data. For example: if your data values include 1,2,3,4,and 17, 17 would be the outlier. The range would be 16 which is not truly representative of the rest of the data.

Q: How does the outlier affect the range of a data set?

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there is no outlier because there isn't a data set to go along with it. so theres no outlier

Yes, any data point outside thestandard deviation its an outlier

Anomalous Data

That would be an outlier.

Outliers are basically numbers, in a set of numbers, that don't belong in that set and/or that stand out. For example, in the data set {3, 5, 4, 4, 6, 2, 25, 5, 6, 2} the value of 25 is an outlier. For a set of numerical data (a set of numbers), any value (number) that is markedly smaller or larger than other values is an outlier. This is the qualitative definition. Mathematically, a quantitative definition often given is that an outliers is any number that is more than 1.5 times the interquartile range away from the median. However, this is not definitive and in some cases other definitions will be used.

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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.

No. The data set will remain the data set: they are the observations that are recorded.

The range.

there is no outlier because there isn't a data set to go along with it. so theres no 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....

An outlier is a number in a data set that is not around all the other numbers in the data. It will always affect the average; sometimes raising the average to a number higher than it should be, or lowering the average to something not reasonable. Example: Data Set - 2,2,3,5,6,1,4,9,31 Obviously 31 is the outlier. If you were to average these numbers it would be something greater than most of the numbers in your set due to the 31.

An outlier.

If a data set has an outlier, you would normally deal with it by omitting it from the average of the other values.

Yes there can be more then one outlier

Yes, any data point outside thestandard deviation its an outlier

An outlier

Outlier