They are the product of the number of possible outcomes for each of the component events.
Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.
yss
Multiply the possible outcomes of the events in the disjoint events
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.
I assume you mean how many possible outcomes when looking at all 13 results. It would be 2^13 = 8192
False
Counting Principle is used to find the number of possible outcomes. It states that if an event has m possible outcomes and another independent event has n possible outcomes, then there are mn possible outcomes for the two events together.
Two events are independent if the outcome of one has no effect on the probability of the outcomes for the other.
Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.
The probability of two independent events occurring together is the product of both events. yw lazy odyssey users like me :)
Two independent events occurring.
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.
yss
Multiply the possible outcomes of the events in the disjoint events
Independent events with a probability of zero
Whether the events are independent or dependent, whether or not they are mutually exclusive.
A set of independent events occurring.