It sounds like Bayesian statistics.
yss
No, the combined probability is the product of the probability of their separate occurrances.
Yes, when two probabilities are multiplied, it typically indicates a compound event, specifically in the context of independent events. This multiplication reflects the likelihood of both events occurring together. For instance, if you have two independent events A and B, the probability of both occurring is calculated by multiplying their individual probabilities: P(A and B) = P(A) × P(B). However, if the events are not independent, you would need to consider their relationship to determine the combined probability correctly.
To determine the probability that IV-3 will have both condition A and condition B, you would typically need to know the individual probabilities of each condition and whether they are independent events. If they are independent, the probability of both occurring can be calculated by multiplying the probabilities of each condition. If they are dependent, you would need additional information about how the conditions interact to compute the joint probability accurately.
The four basic rules of probability are: Non-negativity: The probability of any event is always between 0 and 1, inclusive. Normalization: The total probability of all possible outcomes in a sample space sums to 1. Additive Rule: For mutually exclusive events, the probability of either event occurring is the sum of their individual probabilities. Multiplicative Rule: For independent events, the probability of both events occurring is the product of their individual probabilities.
yss
Independent events with a probability of zero
Two independent events occurring.
The probability of two independent events occurring together is the product of both events. yw lazy odyssey users like me :)
No, the combined probability is the product of the probability of their separate occurrances.
It is true.
If the probability of A is p1 and probability of B is p2 where A and B are independent events or outcomes, then the probability of both A and B occurring is p1 x p2. See related link for examples.
To determine the probability that IV-3 will have both condition A and condition B, you would typically need to know the individual probabilities of each condition and whether they are independent events. If they are independent, the probability of both occurring can be calculated by multiplying the probabilities of each condition. If they are dependent, you would need additional information about how the conditions interact to compute the joint probability accurately.
The four basic rules of probability are: Non-negativity: The probability of any event is always between 0 and 1, inclusive. Normalization: The total probability of all possible outcomes in a sample space sums to 1. Additive Rule: For mutually exclusive events, the probability of either event occurring is the sum of their individual probabilities. Multiplicative Rule: For independent events, the probability of both events occurring is the product of their individual probabilities.
What is the difference between dependant and independent events in terms of probability
The product rule states that the probability of two independent events occurring together is equal to the product of their individual probabilities. In genetics, the product rule is used to calculate the probability of inheriting multiple independent traits or alleles simultaneously from different parents.
Divide the number of events that can happen a certain way by the number of all possible events.