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Prognosis refers to the likelihood of disease (e.g. treatment) outcome. Poor prognosis means that the likelihood that the outcome is unfavorable is high.
In statistics, a likelihood function (often simply likelihood) is a function of a statistical model. The likelihood of a set parameter values, given outcomes x, is equal to the probability of those observed outcome.
Probability
It is a measurement of the likelihood of the occurrence of an event whose outcome is uncertain.
Theoretical Probability is the measure of likelihood that an event will have a particular outcome.
It means that the event, or some aspect of the event, is unforeseen.
An influence is a factor that shapes or affects an outcome without directly causing it, while a cause is a factor that directly produces an effect or result. Influences can impact the likelihood or direction of an outcome, but they may not always lead to a specific result. Causes, on the other hand, are responsible for bringing about the outcome in a direct and predictable manner.
Most likely to determine the likelihood of loan or investment recovery.
yes
They are both measures of the likelihood of events whose outcome is not normally known.
Both are measures of the likelihood of events whose outcome is uncertain.