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Q: How many experimental outcomes are possible for the binomial and the Poisson distributions?

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how do we analyze favorable and possible 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.

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

1023:1022

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A binomial experiment is a experiment that consists of repeated trails, with two possible outcomes. An example of this would be a coin toss.Ê

Binomial distribution is learned about in most statistic courses. You could use them in experiments when there are two possible outcomes and each experiment is independent.

No. A binomial distribution consists of trials with only two possible outcomes. The experiment described in the question has six - unless the die is so seriously loaded that only two outcomes are possible.

Experimental or empirical probability.

No. It is multinomial because you have more than two possible outcomes each time.

A binomial experiment is a experiment that consists of repeated trails, with two possible outcomes. An example of this would be a coin toss.Ê

The probability of any event lies in the interval [0, 1]. The sum (or integral) over all possible outcomes is 1.

how do we analyze favorable and possible outcomes

There are 25 = 32 possible outcomes.

There are 36 possible outcomes.

theoretical probability is one half experimental probability is four tenths this is because to find theoretical probability you need to do number of outcomes you were looking for over the number of outcomes possible experimental probability is number of turns that were what you were looking for over the number of turns

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