Tree Diagram
A tree diagram is a visual representation of all possible future outcomes and... Read More
Unconditional probability (also known as marginal probability) is simply the probability that an event occurs without considering any other preceding events. In other words, unconditional probabilities are not dependent on the occurrence of any other events; they are ‘stand-alone’ events. Therefore, if we are interested in the probability of an event, say, A, the standard annotation is P (A). Let us look at a few examples.
A conditional probability is the exact opposite of an unconditional probability. Our interest lies in the probability of an event ‘A’ given that another event ‘B ‘ has already occurred. This is what you should ask yourself:
“What is the probability of one event occurring if another event has already taken place?
We pronounce P (A | B) as “the probability of A given B.”
The bar sandwiched between A and B indicates “given.”
Understanding the theory behind conditional and unconditional probabilities will help you understand and work out solutions for quantitative probability questions.