1/12
Each outcome is equally likely and so the probability of each outcome is 1/36.
That's the 'probability' of a favorable outcome.but only if the outcomes are equally likely.
Theoretical probability is the probability of an event when all outcomes are equally likely. With theoretical probability, you determine the probability by dividing the number of ways the event can occur by the total number of equally likely outcomes.
A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome. A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome.
Theoretical probability
An outcome is what actually happens, while the probability of that outcome is how likely that particular thing is to happen. Say I was flipping a coin. The probability of the outcome of heads is 1/2 because there are 2 possible outcomes and heads is only 1 of them. Then when I flip the coin, it lands on tails. The outcome is tails.
Each outcome has a probability of 0.05
Each outcome is equally likely and so the probability of each outcome is 1/36.
That's the 'probability' of a favorable outcome.but only if the outcomes are equally likely.
If you can enumerate the outcome space into equally likely events, then it is the number of outcomes that are favourable (in which the event occurs) divided by the total number of outcomes.
It is 1/36 since each outcome is equally likely.
No. Probable means that a particular outcome is likely. Probability means the analytic likelihood of a particular outcome. Analysis (analytic, i.e. the method) means, for example, the evaluation of the outcomes to determine how well the experimental probability aligns with the theoretical probability.
The term is probability (theoretical probability), or how likely a given event is to occur.
Yes. The sum of the probabilities of all possible outcomes is equal to one. Given events that are equally likely to happen, the probability that any given outcome occurs will be equal to the number of specified outcomes, divided by the number of all outcomes. If events are not equally likely to happen - let's say that Bent-Nose Bill is holding a lottery - then the probability is considerably different. As Damon Runyan put it, "The race is not always to the swift, nor the battle to the strong, but that's the way to bet"
Theoretical probability is the probability of an event when all outcomes are equally likely. With theoretical probability, you determine the probability by dividing the number of ways the event can occur by the total number of equally likely outcomes.
A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome. A probability distribution is a function that describes the probability of obtaining a certain outcome where the outcomes are not equally likely. There is a fixed probability of getting each outcome, but the probabilities are not necessarily equal. For example, roll 2 dice, there are 36 equally likely outcomes with a probability of each occurring being 1/36. However if we look at the sum of the numbers, there is only one outcome that gives a sum of 2 (1&1) , so P(sum 2) = 1/36, but six outcomes that give the sum of 7 (1&6, 2&5, 3&4, 4&3, 5&2, 6&1), so P(sum 7) = 6/36 = 1/6. Probability distributions can be tabulated, or there are functions that can be used to calculate the probabilities of getting each outcome.
Theoretical probability