The phrase "a given level of confidence" is correct and usable in written English.
It can be used in contexts related to statistics, research, or any situation where a specific degree of certainty is being discussed.
Example: "The results of the experiment were significant at a given level of confidence, indicating a strong correlation between the variables."
Alternatives: "a specified degree of confidence" or "a particular level of certainty."
First, we can decide in advance how many samples will be needed to achieve a given level of confidence.
When a road safety study is contemplated one has establish how many accidents are needed to reach conclusions with a given level of confidence.
Confidence intervals calculated for the cross-validated predictions (shown as squares in Figure 7) require larger β values to reach a given level of confidence when compared to those calculated on the test set (shown as triangles in Figure 7).
When making two-point estimates at a given level of confidence, this level is rarely achieved; for our study, the target confidence level was 80%% certainty, but our empirically determined furniture assembly times were only included in 26.5 % of the estimations.
The type II ROC curve characterized the probability of being correct for a given level of confidence.
The optimal number of samples to be multiplexed for genotyping with a given level of confidence can be determined by simulating data before the run.
This output is an estimate of the HD M* I* in the form of an uncertainty distribution, and any given level of confidence may be chosen for deriving an exposure limit (e.g., a "probabilistic RfD"), by taking the associated lower percentile of the uncertainty distribution of HD M* I*.
The aim of the single-chemical exposures was to produce the data necessary to predict the median effect concentration of the mixture without exceeding a given level of statistical uncertainty (the 95% confidence limits for the predicted EC50 were set at a maximum of ± 0.2 on the log10-transformed concentration scale).
If the computed Chi-square is greater than critical Chi-square, then we reject the null hypothesis and accept the alternative hypothesis at a given level of significance, e.g. 95% confidence level or 5% level of significance.
Big order book should give "level of confidence" growth will return.
