No. If the variable is continuous, for example, height or mass of something, or time interval, then the set of possible outcomes is infinite.
The set of all possible outcomes is the range.
A tree diagram is the way to identify and count all possible outcomes.
All possible outcomes of an experiment is known as a sample space. This will include an exhaustive list of all the possible results to be achieved.
There is 6 possible outcomes per roll of a die. So, there are 6*6*6*6 outcomes or 64 or 1296 possible outcomes.
Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.Find all the possible outcomes and the probabilities associated with each. That information comprises the probability distribution.
The sum of the probabilities of all possible outcomes is 1.
The set of all possible outcomes is the range.
Yes, it is possible to show that all deterministic finite automata (DFA) are decidable.
It is always non-negative. The sum (or integral) over all possible outcomes is 1.
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
Is the number of all possible outcomes of an experiment. The number depends on the experiment.
A tree diagram is the way to identify and count all possible outcomes.
All possible outcomes of an experiment is known as a sample space. This will include an exhaustive list of all the possible results to be achieved.
sample space
Not sure about only two requirements. I would say all of the following:there is a finite (or countably infinite) number of mutually exclusive outcomes possible,the probability of each outcome is a number between 0 and 1,the sum of the probabilities over all possible outcomes is 1.The Poisson distribution, for example, is countably infinite.
If the numbers (or symbols) are all different then 10 outcomes.
Yes, it is possible to demonstrate that all deterministic finite automata (DFA) are in the complexity class P.