Confidence level

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Confidence level

In risk analysis, the degree of assurance that a specified failure rate is not exceeded.

Confidence Level

In polling and statistics, the degree of certainty in the confidence interval. The confidence level is how likely a pollster or statistician believes the results of a poll are repeatable and non-random. This is expressed as a percentage. For example, if a poll finds that 48% of those polled intend to vote for Candidate A with a 3% confidence interval and a 95% confidence level, this means that the pollster is 95% certain that between 45% and 51% of the population at large will vote for Candidate A.
References in periodicals archive ?
But if we increase the sample size to 100 apples and 100 oranges, our confidence intervals decrease, and we can now tell apples do have lower values than oranges (FIGURE 2).
Another factor which affects the width of the confidence interval, is the confidence level.
To illustrate the computation of Equations 2 and 3, suppose a researcher is planning a multiple regression analysis with k = 4 predictor variables and wants to compute a 95% confidence interval for [[rho].sup.2].
We assign [L([[??].sup.L.sub.[alpha]]), U([[??].sup.L.sub.[alpha]])] as lower fuzzy confidence interval and [L([[??].sup.U.sub.[alpha]]), U([[??].sup.U.sub.[alpha]])] as upper fuzzy confidence interval.
For the classification of genotypes treated in this work or the Figure (5) and by the confidence interval, our genotypes are classified into three groups:
Maritz and Jarret's (1978) equation for obtaining the median's confidence interval from the estimation of the proposed standard error is (Wilcox, 2005):
Confidence intervals: What is the real result in the target population?
For instance, in constructing a confidence interval for the Binomial proportion p, Agresti and Coull [24]suggest augmenting the existing data with two additional successes and two additional failures.
The resulting data of biological stress on the ground (in [??]), average incidence of AEI (in [??]), odds ratios (OR), relative risk (RR) with confidence intervals summarized across the cities studied are shown in Table 1.
Another study20 showed the odds ratio and 95% confidence interval for current cigarette smokers as 2.57(CI=2.2-3.0), respectively as compared to the nonsmokers, meaning that current smokers had 2.57 times higher risk of bladder cancer as compared to nonsmokers.
In these studies, the FDA defines a test product to be bioequivalent to a reference product when the 90% confidence intervals for test-to-reference ratios of the area under the plasma concentration time curve (AUC) and the maximum plasma concentration ([C.sub.max]) are within an acceptance range of 80%-125%.
For Mill F, induced percentile left censoring reduced the length of the confidence interval for the upper percentiles (i.e., 0.0006 inches or 0.0152 mm for the 0.90 quantile and to 0.0047 inches or 0.1194 mm for the 0.99 quantile).