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
Payment under a state-sponsored program for victims of crimes. ...
States that allow the placement of surplus lines only with insurance companies that the states have approved. ...
Interest earned but not yet paid for a period of time that has elapsed since the last interest payment. ...
Date, in insurance, on which a person becomes one year older. Depending on the insurance company, premiums in life and health insurance manuals are figured to the age-nearest-birthday or ...
Government-supervised health care system with economic incentives for providers and consumers. ...
Funding of an employee's benefits in a pension plan for his or her beginning past service of employment. This is a significant cost factor in pension planning and financing of future ...
Insurance that combines features of flexible premium life insurance and universal life insurance into one policy in the following manner: Premiums after the required minimum initial premium ...
Coverage that pays a fixed dollar amount of interest at regular intervals. ...
Illness contracted as the result of employment-related exposures and conditions. Coverage for such diseases is found under workers compensation insurance. ...

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