Sentence examples for assessing the probability that from inspiring English sources

Exact(14)

Second, we can draw on science in terms of risk assessment, specifically assessing the probability that our judgments are correct, and the level of potential error.

A court would look at this by assessing the probability that the Lubrizol transaction would have occurred.

The review has focused on assessing the probability that American soldiers might be exposed to the virus that causes smallpox, a disease that was declared eradicated more than 20 years ago.

Assessing the probability that Jacoby will develop radiation-induced cancer is difficult, Mr. Stockett said, because medical literature looks only at full body exposures for children at Nagasaki and Hiroshima.

According to Section 7 of the Federal Deposit Insurance Act, the FDIC clearly has the authority to use any factor it "determines relevant" when assessing the probability that the Deposit fund will incur a loss with respect to any specific institution.

The simulations and analysis below were performed using R. We follow Clauset et al [14] in using the Kolmogorov-Smirnov (KS) test, a non-parametric test of goodness of fit, used for assessing the probability that a sample of observations was drawn from a given population distribution (whether empirically measured or mathematically generated).

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Similar(45)

With a pdf format the respondent is faced with assessing the probabilities that the outcome lies in each interval (e.g. the 1989 SHIW question cited earlier) while with a cdf format he has to assess the probabilities that the outcome does not exceed the sequence of thresholds (e.g. as in Attanasio and Augsburg 2012; also the question cited in the introduction).

The general idea of assessing the probabilities that expert and naive users may have in finding a particular website is applicable to anyone considering the addition of online adverts to promote online services or resources.

But they assessed the probability that Hamas now has rockets capable of going farther than 25 miles as "very low".

It was among the first widely available tools to look beyond investors' desired retirement dates and assess the probability that they would reach monthly income goals.

Perhaps that is how [the former Fed chairman, Alan ] Greenspanassessed the probability that he could make an accurate judgment about the stock market bubble.

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