The mean is most affected. Mode and Median are not influenced as much by outliers.
extreme values don't affect the mode
When there aren't extreme values (outliers)
The middle value so half the data is above it and half the data is below it. It is often used because extreme values tend to affect it less than other measures of central tendency. If you have an even number of data points, the median is the mean of those two points. ( So you add the two values and divided by two)
They are called extreme values or outliers.
The mean is most affected. Mode and Median are not influenced as much by outliers.
Because it is easily influenced by extreme values (i.e. it is not unbiased).
mean
values is values
Any variation is very sensitive to extreme values!
Measures of the general value are a common need. Average, Median, and Mode are the three commonest.Average is the arithmetic average of all the values.Median is the actual measurement which is midwaybetween the extreme values, and is often closest to the average.Mode is the commonest value.Other indicators of central tendency, may ignore all value beyond say, three standard deviations, and thus ignore the contribution by the extreme, and uncommon, values.
Values that are commonly accepted and are not extreme in any way.
yes
An extreme interpretation of Islamic values.
Danze16
Generally not without further reason. Extreme values are often called outliers. Eliminating unusually high values will lower the standard deviation. You may want to calculate standard deviations with and without the extreme values to identify their impact on calculations. See related link for additional discussion.
He was inspired by events and culture.