Sentence examples for distribution confidence from inspiring English sources

Further it gives an insight application of normal distribution, confidence bounds, sample size determinations, random variable summation, binomial distribution, Poisson distribution, testing of hypothesis, and other aspects.

Topics covered include types of data, descriptive statistics (mean, median, mode, percentiles), the normal distribution, confidence intervals and the standard error of the mean, hypothesis testing and the choice of statistical tests, type 1 and 2 errors, contingency tables, correlation and regression, and meta-analysis.

Specifically, we determined λi from 10,000 replicate projection matrices, with each element drawn from its corresponding likelihood distribution; confidence intervals for λi were taken as the range encompassing the central 95% of λi estimates.

This distribution, while biased to low confidence scores, shows for both participants a bimodal distribution with a shape very similar to the one observed in the distribution confidence for all (correct and error) trials (Figure 2A).

Likewise, the distribution of confidence for p2 = 0.3 is symmetric of confidence for p2 = 0.7.

Confidence intervals for rates were calculated by assuming a Poisson distribution, and confidence intervals for risks by assuming a binomial distribution.

For example, as in Fig.  1, given p1 = 0.1 (first row), the distribution of confidence for p2 = 0.1 is identical to the distribution of confidence for p2 = 0.9.

Gur et al. [ 19] state, "even when observers provide a distribution of confidence ratings, it may be more representative of the subtleness of the depicted abnormality rather than the confidence that the observer actually 'saw' or did not 'see' it".

The distribution and confidence interval of the DAL fires showed a wide distribution with varying uncertain and critical parameters.

According to standard normal distribution and confidence interval calculations, the results for each year were between 51 66 NTU.

The distribution places confidence intervals on survival probabilities or estimates for the number of physical experiments required to predict Weibull parameters.