1,2,3,4,20 20 is the outlier range
The mean is affected the most by an outlier.
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.
mean
Removing an outlier has a more significant impact on the range than on the median. The range, defined as the difference between the maximum and minimum values, can be dramatically altered if the outlier is either the highest or lowest value. In contrast, the median, which represents the middle value of a dataset, is less affected by extreme values, especially in larger datasets. Thus, the range is more sensitive to the removal of outliers compared to the median.
The range.
1,2,3,4,20 20 is the outlier range
The mean is affected the most by an outlier.
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.
An outlier will have a huge affect on the range as the range is the largest value minus the smallest value.
mean
The mean is "pushed" in the direction of the outlier. The standard deviation increases.
Yes.Yes.Yes.Yes.
The Interquartile Range because it affects how much space is left between the median on either side....So there you go! I hope that I helped You... : D
The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.
On the standard deviation. It has no effect on the IQR.
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.