Stratified Random Sampling
Selection of restricted random samples in order to obtain a more accurate estimate of the expected loss (mean) than could be obtained by the selection of completely RANDOM SAMPLES. For example, assume it is the desire to obtain an accurate estimate of the average number of automobile accidents experienced by juniors in the Louisiana State University System. By selecting the proper size of random samples among the various colleges within the system, a more accurate estimate of the number of automobile accidents experienced by juniors system-wide can be obtained than by selecting the same total random sample from the system as a whole.
Popular Insurance Terms
Performance of managerial and clerical functions related to an employee benefit insurance plan by an individual or committee that is not an original party to the benefit plan. In selecting ...
Insurance arrangement in which all employees of a given business firm are accepted into a plan regardless of their physical condition. The employee cannot be required to take a physical ...
Type of commercial form that provides coverage for business vehicles regardless of whether they are owned, leased, hired, or borrowed. The form's coverages are divided into the following ...
Insurance that follows an insured property. ...
Liability insurance exception for pollution coverage that is not both sudden and accidental from the insured's standpoint. As a result of the damage suits from such incidents as the ...
Component of necessary coverage determined by the "needs approach" to life insurance for a family. It is intended to cover last-minute expenses as well as those that surface after the death ...
Evidence of a temporary contract obliging a life or health insurance company to provide coverage as long as a premium accompanies an acceptable application. This gives the company time to ...
Term or whole life policy with a face value that increases over time. ...
Person who has been authorized by the insurance company to pay a loss (s) incurred by the insured. ...
Have a question or comment?
We're here to help.