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Finite sample breakdown point

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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.

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