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Q: What does sample space of a probability event mean?

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Dependent probability is the probability of an event which changes according to the outcome of some other event.

An event with a probability of 001 = 1 is a certainty. The event must happen.

Read the introduction to probability and probability measures at StatLect.com

It means the event is certain to happen.

If the probability of a event is zero, then the event cannot occur. Therefore, if the probability of an even number is zero, then the probability of an odd number is one.

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A concept in probability theory which considers all possible outcomes of an experiment, game, and so on, as points in a space.

Dependent probability is the probability of an event which changes according to the outcome of some other event.

An event with a probability of 001 = 1 is a certainty. The event must happen.

Read the introduction to probability and probability measures at StatLect.com

That the event will never happen.

The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.The complement (not compliment) of the probability of event A is 1 minus the probability of A: that is, it is the probability of A not happening or "not-A" happening.

The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.

I believe you mean to say, equally probable. By stating they are separate events, I assume that they are independent and that there is a single unique outcome to each event that can be identified. Ok, then the chance of each event or outcome is 1/10.

It means the event is certain to happen.

It is the probability of an event calculated from repeated trials of an experiment.

Probability is on a scale of 1 to 0 and 1 is that .an event will certainly happen whereas 0 is that an event will not happen

The mean of a sample is a single value and so its distribution is a single value with probability 1.

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