The presence of an extreme outlier, such as the Mitsubishi i-MiEV, increases the spread of the data. Therefore, if this outlier is removed, the spread of the data will decrease. Mathematically, this can be represented as:
\[
\sigma_{new} < \sigma_{old}
\]
where
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