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You have a function with two arguments (inputs). After that, the calculations depend on whether or not the two random variables are independent. If they are then the joint distribution is simple the product of the individual distribution. But if not, you have some serious mathematics ahead of you!
What else can I help you with?
Example of joint probability?
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
The mathematical calculation that an event will happen?
Theoretical Probability.
What does the word theoretical probability mean in math?
Theoretical implies the mathematical calculation of the probability. Empirical means the actual outcomes to happen.
What type of event is found by multiplying the probability of the first event by the probability of the second event?
That's the probability that both events will happen, possibly even at the same time. I think it's called the 'joint' probability.
What is the joint probability of having a good economy and a neutral stock performance?
0.09
Example of joint probability?
Joint probability is the probability that two or more specific outcomes will occur in an event. An example of joint probability would be rolling a 2 and a 5 using two different dice.
The mathematical calculation that an event will happen?
Theoretical Probability.
What does the word theoretical probability mean in math?
Theoretical implies the mathematical calculation of the probability. Empirical means the actual outcomes to happen.
What is joint probability?
Let X and Y be two random variables.Case (1) - Discrete CaseIf P(X = x) denotes the probability that the random variable X takes the value x, then the joint probability of X and Y is P(X = x and Y = y).Case (2) - Continuous CaseIf P(a < X < b) is the probability of the random variable X taking a value in the real interval (a, b), then the joint probability of X and Y is P(a < X< b and c < Y < d).Basically joint probability is the probability of two events happening (or not).
What is theoretical probaility?
The probability that a certain outcome will occur which is determined through reasoning or calculation.
Can a joint probability have a value greater than 1?
A joint probability can have a value greater than one. It can only have a value larger than 1 over a region that measures less than 1.
What type of event is found by multiplying the probability of the first event by the probability of the second event?
That's the probability that both events will happen, possibly even at the same time. I think it's called the 'joint' probability.
What is joint probability function?
The joint probability function for two variables is a probability function whose domain is a subset of two dimensional space. The joint probability function for discrete random variables X and Y is given aspr(x, y) = pr(X = x and Y = y). If X and Y are independent random variables then this will equal pr(X =x)*pr(Y = y).For continuous variables, the joint funtion is defined analogously:f(x, y) = pr(X < x and Y < y).
What is best graphical method for calculating joint and conditional probability?
Tree diagram
What is the joint probability of having a good economy and a neutral stock performance?
0.09
A joint probability is a probability that measures the likelihood that two or more events will happen concurrently?
Yes, a joint probability quantifies the likelihood of two or more events occurring at the same time. It is typically represented as ( P(A \cap B) ) for two events A and B, signifying the probability that both events happen together. Joint probabilities are fundamental in statistics and probability theory, especially in understanding the relationships between multiple random variables. They can be calculated using the multiplication rule if the events are independent or through conditional probabilities when they are not.
What is the difference between empirical and theoretical probability?
Empirical anything is what is observed. Theoretical is a calculation of what things ought to be.
