The ability of an interval estimate to contain the value of the population parameter is described by the

confidence level

Explanation:

The confidence level refers to the statistical probability that the value of a population sample lies between a specific range of values (confidence interval).

For example when you say that your research has a 95% confidence level, it means that  you are 95% that your population's mean fall within the confidence interval.

Statistics are never 100% exact since you cannot research the whole population, but usually a 95-98% confidence level is considered very secure, except election polls.

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