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What are all the possible outcomes of a function?
The set of all possible outcomes is the range.
What is the way to identify and count all possible outcomes?
A tree diagram is the way to identify and count all possible outcomes.
What do you call all possible outcomes of an experiment?
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.
What is the size of the sample space for all the outcomes possible from rolling four dice?
There is 6 possible outcomes per roll of a die. So, there are 6*6*6*6 outcomes or 64 or 1296 possible outcomes.
A set of outcomes are called what?
A set of outcomes are called results. All possible outcomes are referred to as the sample space.
What is the sum of the probabilities of all possible outcomes?
The sum of the probabilities of all possible outcomes is 1.
What are all the possible outcomes of a function?
The set of all possible outcomes is the range.
Is in the normal distribution the total area beneath the curve represent the probability for all possible outcomes for a given event?
Yes. The total area under any probability distribution curve is always the probability of all possible outcomes - which is 1.
What are the requirements of a probability distribution?
It is always non-negative. The sum (or integral) over all possible outcomes is 1.
Total possible outcomes?
Is the number of all possible outcomes of an experiment. The number depends on the experiment.
What is the way to identify and count all possible outcomes?
A tree diagram is the way to identify and count all possible outcomes.
What do you call all possible outcomes of an experiment?
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.
The collection of all possible outcomes of an experiment is called?
sample space
How many possible outcomes of rolling a ten-sided die?
If the numbers (or symbols) are all different then 10 outcomes.
What are two requirements for a discrete probability distribution?
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.
What is the size of the sample space for all the outcomes possible from rolling four dice?
There is 6 possible outcomes per roll of a die. So, there are 6*6*6*6 outcomes or 64 or 1296 possible outcomes.
A set of outcomes are called what?
A set of outcomes are called results. All possible outcomes are referred to as the sample space.
