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Q: What are the requirements of a probability distribution?

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The mean must be 0 and the variance must be 1.

They are probability distributions!

(1) That the probabilities lie between 0 and 1. (2) The sum of all probabilities of the distribution sum up to 1.

Independent events with a constant probability of occurrence over a fixed interval of time (or space).

A bell shaped probability distribution curve is NOT necessarily a normal distribution.

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The requirements are that there are repeated trials of the same experiment, that each trial is independent and that the probability of success remains the same.

The mean must be 0 and the variance must be 1.

The normal distribution, also known as the Gaussian distribution, has a familiar "bell curve" shape and approximates many different naturally occurring distributions over real numbers.

They are probability distributions!

(1) That the probabilities lie between 0 and 1. (2) The sum of all probabilities of the distribution sum up to 1.

No. Normal distribution is a continuous probability.

Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.

Independent events with a constant probability of occurrence over a fixed interval of time (or space).

The statement is true that a sampling distribution is a probability distribution for a statistic.

how do i find the median of a continuous probability distribution

A bell shaped probability distribution curve is NOT necessarily a normal distribution.

None. The full name is the Probability Distribution Function (pdf).

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