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A small partial list includes:

-normal (or Gaussian) distribution

-binomial distribution

-Cauchy distribution

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āˆ™ 13y ago
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Q: List of common symmetric distributions
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Related questions

Are all symmetric distributions normal distributions?

No. There are many other distributions, including discrete ones, that are symmetrical.


Similarity between the uniform and normal probability distributions?

They are continuous, symmetric.


What is the range of skewness of approximately symmetric distributions?

-1<x<+1


Does this means that all symmetric distribution are normal Explain?

Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.


Normal distribution is symmetric with single peak.Does this mean that all distibutions are normal?

No, not all distributions are symmetrical, and not all distributions have a single peak.


Is symmetrical a characteristic of a normal distribution?

The Normal ditribution is symmetric but so are other distributions.


Is it true some normal probability distributions are positively skewed?

No. The Normal distribution is symmetric: skewness = 0.


What type of probability distribution is the normal distribution?

It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.


What is the relation between mean median and mode?

In a symmetric distribution, the mean and the median are the same. Otherwise there is no relation. In symmetric distributions with only one mode, the mode will coincide with the mean and median, but otherwise there is no relation.


How to identify the the shape of probability distribution?

You cannot. There are hundreds of different distributions. The shapes of the distributions depend on their parameters so that the same distribution can be symmetric when the parameters have some specific value, but is highly skewed - in either direction - for other values.


A distribution that has the same shape on either sife of the center is said to be symmetrical?

true - Distributions that have the same shape on both sides of the center are called symmetric


What is a common symmetric cryptography solution?

AES