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What is affected by extreme outliers?

Updated: 4/28/2022
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12y ago

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The mean, variance, skewness, kurtosis and all higher moments of a distribution.

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12y ago
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Q: What is affected by extreme outliers?
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Related questions

Which of the following is least affected if an extreme high outlier is added to your data mean median or standard deviation or ALL?

The median is least affected by an extreme outlier. Mean and standard deviation ARE affected by extreme outliers.


What measures of central location is affected most by extreme values?

The mean is most affected. Mode and Median are not influenced as much by outliers.


Is the variance impacted by extreme outliers?

Yes, it is.


Disadvantages of the mean in statistics?

the mean is affected by outliers


Is absolute mean deviation affected by outliers?

Yes.


What is the effect of extreme value on mean?

Outliers pull the mean in the direction of the outlier.


When is the mean used as a measure of central tendency?

When there aren't extreme values (outliers)


Why calculate for the mean and median in relation to a sample?

Both the mean and median represent the center of a distribution. Calculating the mean is easier, but may be more affected by outliers or extreme values. The median is more robust.


Extreme numbers compared to the rest of the data are called?

Extreme numbers in the data as compared the the rest of the data are called OUTLIERS.


What are the disadvantages of least square method?

High sensetivity to outliers (i.e. Extreme observation)


What data that does not fit well with the rest of a data set.?

They are called extreme values or outliers.


Why is the interquartile range a more appropriate measure for spread than the range?

the interquartile range is not sensitive to outliers.