Random Sample
Sample of n elements selected from a population of A? elements in such a way that the sample has essentially the same characteristics as the population. The random sample serves as the foundation of all probability theory as it relates to probability in sampling. In theory, all subsets drawn from the same sample have an equal chance of being drawn. Sampling is extremely important to the calculation of premium rates. For example, if the insurer wants to predict the probability that a wood-frame house will burn, the sample must be drawn from the population of wood-frame houses, not brick-frame houses.
Popular Insurance Terms
Insurer's total payments resulting from a claim, including all related expenses, less any recoveries from salvage, reinsurance, and the exercise of subrogation rights or other rights ...
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Measure showing how much life insurance an agent has lost through replacement. It is expressed as a percentage of number of policies, face amount, or premium volume. ...

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