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
Annual contributions to a pension plan that exceed or are smaller than the minimum required for future employee benefits currently being earned; and any supplemental liability for past ...
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Insurance company's total premium income plus investment income. ...
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Method of accessing capital by the insurance industry in order to hedge against a future catastrophic occurrence. The mechanism works as follows: Primary insurance company AJAX pays a ...
Party that shares in the loss under an insurance policy or policies. ...

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