Sentence examples for probability of yes from inspiring English sources

Exact(2)

The hit rate is the probability of "yes" responses when the probe represented the exact intermediate color, angle, or both color and angle of the preceding pair of images; the false alarm rate is the probability of "yes" responses when the probe did not match the preceding pair.

(4) Combining Equations 1,3, and 4, we can generate expressions for the probability of Yes and No recommendations in terms of risk and the ordinal regression coefficients.

Similar(58)

For the descriptors, the classes were labeled according to the number of items with high probabilities of yes responses (high number of descriptors, medium number of descriptors, and low number of descriptors).

Arguably, a preferable measure would be the probability of a "yes" report given that an omission had occurred – in other words, the number of Action-no/Report-yes responses conditionalized upon the number of opportunities for such responses (i.e., the number of omissions).

We present results in terms of the estimated probability of a "yes" answer from different types of firms, along with standard errors of the probability and of its difference with respect to the baseline.

In order to quantify the entropy over trials, we first calculated the probability of a yes response for each run (over subjects and repeats).

The result also remained significant after controlling for individual differences in stake, effort, and reward sensitivity choice parameters (Fig. 5 a blue activation map), as well as variance of probability of responding YES (Supplementary Fig. 2 c ).

The marginal effect of each factor, that is, a change in the probability of a "yes" response (for an independent binary variable) or of a one-unit increase (for an independent ordinal variable), i.e. estimated percentage of incremental demands for ambulance use produced by socioeconomic factors, was also computed with the probit model.

To use a Fregean expression, semantic content is unsaturated information, where the latter is semantic information that has been "eroteticised" and from which a quantity of information has been subtracted equal to −log P yes), with P being the probability of the yes-answer.

Model predictions are the probabilities of the "yes" category.

In each condition, the probabilities of match ("yes" response) and mismatch ("no" response) trials were 33%and66%6%, respectively.

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