When two CMFs are combined, the resultant CMF is:

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Multiple Choice

When two CMFs are combined, the resultant CMF is:

Explanation:
When two CMFs are combined, the overall effect is multiplicative because each CMF represents the fraction of crashes that remain after applying that measure. If you apply one intervention and then another, you multiply the remaining risk after each step: CMF_total = CMF1 × CMF2. For example, if the baseline crash rate is 100 and the two measures have CMFs of 0.8 and 0.9, the combined rate becomes 100 × 0.8 × 0.9 = 72, a 28% reduction overall. Using a sum or an average would misrepresent the way risks compound, and taking the maximum would ignore the additional reduction from the second measure. So, the product is the correct way to combine CMFs under independent effects.

When two CMFs are combined, the overall effect is multiplicative because each CMF represents the fraction of crashes that remain after applying that measure. If you apply one intervention and then another, you multiply the remaining risk after each step: CMF_total = CMF1 × CMF2.

For example, if the baseline crash rate is 100 and the two measures have CMFs of 0.8 and 0.9, the combined rate becomes 100 × 0.8 × 0.9 = 72, a 28% reduction overall. Using a sum or an average would misrepresent the way risks compound, and taking the maximum would ignore the additional reduction from the second measure.

So, the product is the correct way to combine CMFs under independent effects.

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