Confidence level means the statistical reliability of the sampling parameters used to estimate the proportion of payment errors (overpayment and underpayment) in the universe under review.
Confidence level means the probability that an overpayment or underpayment rate determined from a random sample of charges is less than or equal to the rate that exists in the universe from which the sample was drawn.
Confidence level means the probability that the true value of a parameter is within a certain interval around the estimate of its value;
Examples of Confidence level in a sentence
Sample Size by Precision Level and Proportion for 95% Confidence Level 2-3 Table 2-2.
The following are based on a Confidence Level of 95% and Confidence Interval of 5%.
Confidence Level According to the 2000 U.S. Census, there are approximately 50,000 households in the unincorporated areas of Santa Xxxx County.
Confidence Level According to the 2000 U.S. Census, there are approximately 50,000 households in the unincorporated areas of Santa Cruz County.
More Definitions of Confidence level
Confidence level means a statistical procedure for determining the degree of reliability for use in reporting the assessment ratio for a taxing jurisdiction;
Confidence level means the probability of detecting evidence of at least one infected marine organism within the population of marine organisms tested at an assumed prevalence level of the agent.
Confidence level means a statistical procedure for
Confidence level means the required degree of confidence in a statistical test or confidence interval.
Confidence level means the probability that the true value of a parameter is within a certain interval around the estimate of its value.Note: The interval is usually referred to as the accuracy of the estimate.
Confidence level means a measure of how likely it is that the results of a Quantitative Survey will be truly representative of the wider audience. It is expressed as a percentage and represents how often the true percentage of the population (i.e. the result of surveying the entire population) would pick an answer that lies within the specified “Confidence Interval” set for the relevant Quantitative Survey. The “Confidence Level” for the Member and Employer Quantitative Surveys outlined in Schedule 2.2 (Service Levels) is set at 95% which means that it is possible to be 95% certain that a particular measure falls within the specified “Confidence Interval”.
Confidence level means a probability that a confidence interval includes the true value of the estimated parameter; it is used for the purpose of defining the sample size and for calculating sampling precision;