To calculate the probability of the event P(3 and 3 and 3 and 2 and 2), we need to know the context, such as the total number of possible outcomes and whether the selections are independent. If we assume that these numbers represent outcomes from a finite sample space (like rolling dice or drawing from a deck), we would need the specific probabilities associated with drawing a 3 or a 2. Without this information, we cannot determine the exact probability of the event.
It is more likely because it can exist. An event with a probability of 2 cannot exist.
Yes, it can.
States that to determine a probability, we multiply the probability of one event by the probability of the other event. Ex: Probability that two coins will land face heads up is 1/2 x 1/2 = 1/4 .
163
1/6
It is more likely because it can exist. An event with a probability of 2 cannot exist.
Yes, it can.
States that to determine a probability, we multiply the probability of one event by the probability of the other event. Ex: Probability that two coins will land face heads up is 1/2 x 1/2 = 1/4 .
The answer is that you have made a very serious mistake since the probability of any event can never be greater than 1: so a probability of 2 is obviously a big error.
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Information is inversely proprotional to the probability of an event before the event happens. An information atom is 1 / log base 2 of the probability of the event before it happened.
1/6
1/2
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.
If the die is rolled often enough, the event is a certainty - probability = 1. For a single roll, the probability is 1/2.
is 2^2^4*P3
There are many such events. The probability of throwing a 1 or 2 on one roll of a die, for example.