It provides objective information about the high economic cost of having a child and gives statistical data on how much higher the likelihood is that a child born in these circumstances will be poor; this is information that most teenagers are very unlikely to know.
Sensitivities, specificities, positive predictive values, negative predictive values, positive likelihood ratios (how much to increase the probability of survival if the test is positive), and negative likelihood ratios (how much to decrease the probability of survival if the test is negative) of various APACHE II scores and pH cutoff levels on admission were calculated (18 ).
The closeness of the contest will in all likelihood determine how much money will be spent on these voters: the smaller the margin between Obama and Romney, the more cash will go into the high cost of persuading reluctant participants and in motivating them to go to the polls.
The Raise slide is where actual investors start paying attention, as this is where they see what they actually get for the money, and the likelihood of how much will be returned on their investment.
A variance components analysis was undertaken using Restricted Maximum Likelihood to determine how much of the variation in MFA was attributable to each stratum (i.e., site, tree, disc or ring) in the dataset.
For his part, Kaye contends that the district attorney's office "took the word of these deputies as gospel, regardless of how much we presented evidence of the likelihood they were lying".
We estimated variance components using restricted maximum likelihood to indicate how much of the variation in relative eyespan could be attributed to genetic variation within families.
Likelihood ratios indicate how much more likely it is for a test or a clinical finding to give a positive or negative result in a patient versus an individual free of the disease.
Alternatively, ignoring the prior probabilities, we can examine likelihood ratios, or how much more probable the new data are under the hypothesis to be tested than under the null hypothesis.
The ratio of these likelihoods tells us how much more likely one hypothesis is over the other, or, in other words, how sure we are that there is a dependency.
