A complete probability model is described by which of the following statements? A. A list of all possible outcomes in the sample space and their probabilities B. The actual outcomes of a trial C. The number of trials conducted D. The difference between the theoretical and experimental probabilities of all outcomes

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Answer:

Your answer I believe would be A.

Step-by-step explanation:

I have ruled out B and C. Not too sure about D. But, I know that A is very likely to be your answer.

From the definition of probability, we can say that a complete probability model is described by a list of all possible outcomes in the sample space and their probabilities.

What is probability?

Probability is the measure of the likelihood of an occurrence.

Mathematically, the probability of an event is defined as:

P(event) = Favorable outcomes / Total possible outcomes

Hence, from the definition of probability, we can say that a complete probability model is described by a list of all possible outcomes in the sample space and their probabilities.

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