The original probability is an unconditional probability called a '' probability, in the sense that it reflects only what we know now before the arrival of any new information.

On the basis of new information, we update the prior probability to arrive at a conditional probability called a '' probability.

'' theorem uses the total probability rule to update the probability of an event that has been affected by a new piece of evidence

Unconditional probability is also called as :Group of answer choicesMarginal probabilityRelative probabilityConditional probabilityJoint probability

What is the basics of probability?

In the context of Bayes' formula, what does the term "prior" represent?Group of answer choicesThe initial probability of an event before considering new data.A variable that can take on different values in a probabilistic model.The probability of observing the data given the event.The updated probability of an event after considering new data.