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Noah will select 1 card at random from a standard deck of cards. Find the probabilities. Explain or show your reasoning.
Kiran notices that these probabilities can be arranged into at least two equations.
because .
because .
Kiran wonders if it is always true that for events A and B. He wants to check additional examples from drawing a card from a deck.
A coin is flipped, and then a standard number cube is rolled. Let A represent the event “the coin lands showing heads” and B represent “the standard number cube lands showing 4.”
A conditional probability is the probability that one event occurs under the condition that another event occurs.
For example, we will remove two marbles from a jar that contains 3 green marbles, 2 blue marbles, 1 white marble, and 1 black marble. We might consider the conditional probability that the second marble we remove is green given that the first marble removed was green. The notation for this probability is where the vertical line and the event following it mean “under the condition that the first marble removed is green” or “given that the first marble removed is green.” In this example, because we assume the condition that the first marble drawn was green has happened, so the second draw has only 2 possible green marbles left to draw out of the 6 marbles still in the jar.
To find the probability of two events happening together, we can use a multiplication rule:
For example, to find the probability that we draw two green marbles from the jar, we could write out the entire sample space and find the probability from that, or we could use this rule.
Because the probability of getting green on the first draw is , and the conditional probability was considered previously, we can find the probability that both events occur using the multiplication rule.
This tells us that the probability of getting green marbles in both draws is (because is equivalent to ).
In cases where events A and B are independent, because the probability does not change whether B occurs or not. In these cases, the multiplication rule becomes:
For example, when flipping a coin and rolling a standard number cube, the events “getting a tails for the coin” and “getting 5 for the number cube” are independent. That means we can find the probability of both events occurring to be , by using the multiplication rule.
Conditional probability is the likelihood that one event occurs given that another event occurs.