(Please read the problem patiently,I tried to express my problem as clear as I can Please don't dislike..")
My brain is confusing with 'joint probabity' and 'conditional probablity'.Let us suppose two events A and B;
This is what I found from websites like quora Conditional Probablity p(A|B)=probability of occurrence of event A after B; Joint probability p(A intersection B)=probability that both events are going to occur;
But Wikipedia says about "joint probability" that " In the study of probability, given at least two random variables X, Y, ..., that are defined on a probability space, the joint probability distribution for X, Y, ... is a probability distribution that gives the probability that each of X, Y, ... falls in any particular range or discrete set of values specified for that variable" means this is meant to predict range of probability distribution
question
so which one of two knowledge are correct and how joint probability is related with conditional probability(by definition of wikipidea)?
