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.
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.
An outlier
the data value that is much higher or lower than the other data given is called an outlier
It may be an outlier.
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.
outlier
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.
An outlier
Outlier
A value separated from the rest of the data is called an outlier
the data value that is much higher or lower than the other data given is called an outlier
need more info
The range.
It may be an outlier.
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.
The value that is not typical of most other values in a data set is an Outlier.