Each outcome is equally likely and so the probability of each outcome is 1/36.
When an event is repeated, the probability of it occurring is squared. For instance, if an outcome had the probability of 1/4, then the outcome happening twice would have a probability of 1/16. Note, however, that this does not mean that the second event has different probabilities. That particular outcome will always be 1/4, regardless of anything that happened before it.
The probability level for an outcome is the probability that the outcome was at least as extreme as the one that was observed.
The expected outcome is the sum of (each possible occurrence times the probability of that occurrence). For example, the expected outcome of rolling one die is: 1 * 1/6 + 2 * 1/6 + 3 * 1/6 + 4 * 1/6 + 5 * 1/6 + 6 * 1/6 = 3.5.
The outcomes of a trial can be a negative integer but the probability of any outcome must be in the range [0, 1].
It depends on the particular problem. An outcome of 1, for example, is one of the outcomes of rolling a standard six-sided die.A probability of 1, however, which is what the question might mean, means that the outcome is certain to occur, but that outcome is not necessarily 1. This is one of the distinctions between probability and outcome - they are not the same thing.
Each outcome is equally likely and so the probability of each outcome is 1/36.
When an event is repeated, the probability of it occurring is squared. For instance, if an outcome had the probability of 1/4, then the outcome happening twice would have a probability of 1/16. Note, however, that this does not mean that the second event has different probabilities. That particular outcome will always be 1/4, regardless of anything that happened before it.
no
No. The probability of any event must, by definition, be in the interval [0, 1].
The probability level for an outcome is the probability that the outcome was at least as extreme as the one that was observed.
The probability is 0.48
The expected outcome is the sum of (each possible occurrence times the probability of that occurrence). For example, the expected outcome of rolling one die is: 1 * 1/6 + 2 * 1/6 + 3 * 1/6 + 4 * 1/6 + 5 * 1/6 + 6 * 1/6 = 3.5.
It is a measure of the likelihood of an uncertain outcome. For example, if I roll a fair die, the probability that I will roll a four is 1/6.
The outcome of some events are cannot be determined in advance. There is an element of uncertainty in the outcome. Probability is a measure of this uncertainty.
You can calculate the probability of the outcome of events.
The outcomes of a trial can be a negative integer but the probability of any outcome must be in the range [0, 1].