Best Answer

See related link. Outliers are defined as: In statistics, an outlier is an observation that is numerically distant from the rest of the data. As stated in the related link, outliers should not necessarily be removed from a dataset. If analyses is done, and certain values that are a part of the collected dataset are not included, then the reasons for excluding them from the analyses should be discussed along with the results. Erroneous values that are the result of human or measurement error, such as a particular sensor malfunctioning, may be excluded from analysis, as they are not representative numbers.

Q: Why need to remove outlier?

Write your answer...

Submit

Still have questions?

Related questions

i can not tell you need to space it out and to find outlier try using a box and whisker plot. and if it is just one number there is no outlier

It may be called an outlier.

No, median is not an outlier.

0s are not the outlier values

need more info

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.

No. A single observation can never be an outlier.

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.

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 is 558286.

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

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