(New page: This is the smallest proportion of observations that can make a measure of location (e.g. estimate of central tendency: mean, median, etc) arbitrarily small or large. In terms of the mean...)

This is the smallest proportion of observations that can make a measure of location (e.g. estimate of central tendency: mean, median, etc) arbitrarily small or large.

This is the smallest proportion of observations that can make a measure of location (e.g. estimate of central tendency: mean, median, etc) arbitrarily small or large.

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In terms of the mean and [OLS-Ordinary Least Squares Regression.doc] this is 1/N; This proportion is the % of data that would need to be altered to throw off estimates. E.g. .3 then 30% of data would need to be altered.

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In terms of the mean and [[Ordinary Least Squares Regression]] this is 1/N; This proportion is the % of data that would need to be altered to throw off estimates. E.g. .3 then 30% of data would need to be altered.

[[Category: Statistics]]

[[Category: Statistics]]

Latest revision as of 21:22, March 24, 2007

This is the smallest proportion of observations that can make a measure of location (e.g. estimate of central tendency: mean, median, etc) arbitrarily small or large.

In terms of the mean and Ordinary Least Squares Regression this is 1/N; This proportion is the % of data that would need to be altered to throw off estimates. E.g. .3 then 30% of data would need to be altered.