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
Coverage by at least two insurance policies providing the same coverage for the same risk. ...
Relationship between expected incurred insurance-related costs (not including claims) and expected written premiums. ...
Computation of the asset share value, surrender value, and reserve and the comparison of the three computations in order to judge the adequacy and equity of the tentative gross premium ...
Range of administrative and risk management services that can be purchased by an insured. Increasingly, insurance can be purchased unbundled so that policy-holders may pay for straight ...
Independent agent membership group, originally mutual agents but today open to both mutual and stock agents. Association views are presented both nationally and locally on insurance ...
Coverage under the Homeowners Form-4 (HO-4) for the insured's personal property and loss of use against fire and/or lightning; vandalism and/or malicious mischief; windstorm and/or hail; ...
Coverage for specialists in various professional fields. Since basic liability policies do not protect against situations arising out of business or professional pursuits, professional ...
Bureau insurer that files its statistical and underwriting experience with a rating bureau. ...
Regulation named after a former Superintendent of Insurance of New York State, and instituted in the early 1900s. It requires every insurer admitted to New York to comply with the New York ...

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