Sentence examples for interpretation of confidence from inspiring English sources

Using simple examples, we illustrate the use and interpretation of confidence intervals (CIs) and statistical significance tests (tests of hypotheses).

Numerical results are included based on laboratory data to show typical steps of a model validation procedure, i.e., the interpretation of confidence intervals, the compliance with physical laws, the identification and elimination of redundant model parameters, the computation of optimum experimental designs and the identifiability of parameters by determining weight distributions.

Even then, it is not clear why we should take this distribution as an appropriate expression of our belief, so that we may support the epistemic interpretation of confidence intervals with it.

The following 5 scenarios illustrate interpretation of confidence intervals: 1.

Other healthcare professionals may not have similar views on the difficulties in interpretation of confidence and competence.

Errors induced by interpretation of confidence scores are avoided, prevalence is incorporated, and there is no need to fit curves or extrapolate beyond the data.

The interpretation of the confidence interval indicates that with 90% confidence the true RMSEA value in the population falls within the bounds of 0.040 and 0.054, and therefore represents a good degree of precision.

Interpretation of the confidence intervals is just as described in Statistics review 2, with the first confidence interval (Chiche) indicating that the true odds ratio in the population from which the trial subjects were drawn is likely to be between 0.09 and 1.13.

In this case, particular attention had to be paid to parameter estimates and the interpretation of their confidence intervals.

Therefore, the actual practical interpretation of the confidence interval estimates is the same.

This review describes the calculation and interpretation of their confidence intervals.