First decide whether the event space is discrete or continuous.
For a discrete event space, for each outcome in the space assign a probability: a number in the interval [0, 1] such that the sum of probabilities for all outcomes is 1. The mapping from the event space to the probabilities is the probability distribution function.
The procedure for a continuous event space is analogous: the sum is replaced by the integral.
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.
No. Normal distribution is a continuous probability.
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
None. The full name is the Probability Distribution Function (pdf).
They are probability distributions!
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.
No. Normal distribution is a continuous probability.
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).
They are the same. The full name is the Probability Distribution Function (pdf).
Normal distribution is the continuous probability distribution defined by the probability density function. While the binomial distribution is discrete.
A probability distribution links the probability of an outcome in a statistical experiment with the chances of it happening. Probability distributions are often used in statistical analysis.
== ==
probability density distribution