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
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Demographic designation used in life insurance to calculate premium rates for life and health insurance and annuity contracts. Since females have a longer life expectancy than males of the ...
Bureau insurer that files its statistical and underwriting experience with a rating bureau. ...

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