They are continuous, symmetric.
The symmetric property of equality walked into a bar with a horse and the bartender asked, "Why the long face?"
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In any list of distinct numbers, one will be greater than the others. In the list of common factors, one will be the greatest.
No. There are many other distributions, including discrete ones, that are symmetrical.
They are continuous, symmetric.
-1<x<+1
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.
No, not all distributions are symmetrical, and not all distributions have a single peak.
The Normal ditribution is symmetric but so are other distributions.
No. The Normal distribution is symmetric: skewness = 0.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
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.
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.
true - Distributions that have the same shape on both sides of the center are called symmetric
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