when there are extreme values in the data
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.
the variance
what do we call a measure that is relatively unaffected by extreme observations
Because it is easily influenced by extreme values (i.e. it is not unbiased).
when there are extreme values in the data
To find the lower extreme, you need to identify the smallest value in a data set. To find the upper extreme, you need to identify the largest value in the data set. These values represent the lowest and highest points of the data distribution.
Any variation is very sensitive to extreme values!
The mean is used to measure the average of a set of values, especially when the data is normally distributed. The median is used to find the middle value of a dataset when there are extreme values or outliers present, as it is less affected by extreme 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.
mode and mean
extreme values don't affect the mode
false