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Infinitely many. The normal distribution is applicable to a continuous variable whose domain is the whole of the real numbers.

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Q: How many possible outcomes for normal distribution?

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The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.

If the numbers (or symbols) are all different then 10 outcomes.

Possible outcomes of a single dice are 6 ( 1,2,3,4,5,6) So if 5 such dices are rolled then the number of possible outcomes are 6 mulitiplied by 6 five times. 6x6x6x6x6x6=46656 possible outcomes.

8 outcomes are possible in this situtation. You just have to multiply 4 by 2 to get the answer.

6 sides will be either 1,2,3,4,5, or 6 , so 6 possible outcomes

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The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.

There are 36 possible outcomes.

There are 25 = 32 possible outcomes.

There are 23 = 8 possible outcomes.

There are 26 = 64 possible outcomes.

There are 26 = 64 possible outcomes.

I believe there would be 11 possible outcomes!

There are 36 possible outcomes: 6 for each die.

If the numbers (or symbols) are all different then 10 outcomes.

There are 36 possible outcomes.

2x2x2=8 possible outcomes. In general for n tosses there are 2^n outcomes.

9.22 Quintillion possible outcomes. The answer is a result of 2^63.

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