The outcome of either event does not depend on the outcome of the other.
Independent
It depends on whether or not the events are independent.
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
Yes, they are.
No, two events are independent if the outcome of one does not affect the outcome of the other. They may or may not have the same probability. Flipping two coins, or rolling two dice, are independent. Drawing two cards, however, are dependent, because the removal of the first card affects the possible outcomes (probability) of the second card.
Two events are independent if the outcome of one has no effect on the probability of the outcomes for the other.
Independent
It depends on whether or not the events are independent.
Two events are said to be independent if the outcome of one event does not affect the outcome of the other. Their probabilities are independent probabilities. If the events are not independent then they are dependent.
Yes, they are.
The probability of two independent events occurring together is the product of both events. yw lazy odyssey users like me :)
This can be considered two independent Bernoulli events, so the probability of the whole is the product of the individual events, or (1/6)(1/6) = 1/36.
Two independent events occurring.
Independent events with a probability of zero
No, two events are independent if the outcome of one does not affect the outcome of the other. They may or may not have the same probability. Flipping two coins, or rolling two dice, are independent. Drawing two cards, however, are dependent, because the removal of the first card affects the possible outcomes (probability) of the second card.
The two events are said to be independent.
The occurrence of one event that does not affect the probability of another event is known as independent events. In probability theory, two events A and B are considered independent if the occurrence of A does not influence the occurrence of B, and vice versa. Mathematically, this is expressed as P(A and B) = P(A) × P(B). An example of independent events is flipping a coin and rolling a die; the outcome of the coin does not affect the result of the die roll.