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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Form of suretyship. For example, fidelity bonds reimburse an employer for financial loss resulting from dishonest acts of employees. ...
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Same as term: statement of opinion : ...
Model state law providing guidelines by regulators for valuation of securities on the books of insurance companies. The act has two sections: one for valuation of fixed rate bonds and debt ...

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