The Normal ditribution is symmetric but so are other distributions.
It is a continuous parametric distribution belonging to the family of exponential distributions. It is also symmetric.
About half the time.
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.
There is no such thing. The Normal (or Gaussian) and Binomial are two distributions.
No, not all distributions are symmetrical, and not all distributions have a single peak.
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.
They are continuous, symmetric.
No. The Normal distribution is symmetric: skewness = 0.
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
A small partial list includes: -normal (or Gaussian) distribution -binomial distribution -Cauchy distribution
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No. Normal distribution is a special case of distribution.
It is not necessary that all symetric distribution may be normal.
The Normal distribution is a probability distribution of the exponential family. It is a symmetric distribution which is defined by just two parameters: its mean and variance (or standard deviation. It is one of the most commonly occurring distributions for continuous variables. Also, under suitable conditions, other distributions can be approximated by the Normal. Unfortunately, these approximations are often used even if the required conditions are not met!
Symmetric