Neither. It is symmetrical.
Yes it is. The normal distribution is symmetrical around the mode. Therefore the median has to be the same :)
The Normal ditribution is symmetric but so are other distributions.
I have included two links. A normal random variable is a random variable whose associated probability distribution is the normal probability distribution. By definition, a random variable has to have an associated distribution. The normal distribution (probability density function) is defined by a mathematical formula with a mean and standard deviation as parameters. The normal distribution is ofter called a bell-shaped curve, because of its symmetrical shape. It is not the only symmetrical distribution. The two links should provide more information beyond this simple definition.
The probability density functions are different in shape and the domain. The domain of the beta distribution is from 0 to 1, while the normal goes from negative infinite to positive infinity. The shape of the normal is always a symmetrical, bell shape with inflection points on either sides of the mean. The beta distribution can be a variety of shapes, symmetrical half circle, inverted (cup up) half circle, or asymmetrical shapes. Normal distribution has many applications in classical hypothesis testing. Beta has many applications in Bayesian analysis. The uniform distribution is considered a specialized case of the beta distribution. See related links.
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
Normal distribution is a perfectly symmetrical bell-shaped normal distribution. The bell curve is used to find the median, mean and mode of a function.
The Normal distribution is, by definition, symmetric. There is no other kind of Normal distribution, so the adjective is not used.
It is symmetrical
Certainly.
It is not necessary that all symetric distribution may be normal.
Neither. It is symmetrical.
Yes it is. The normal distribution is symmetrical around the mode. Therefore the median has to be the same :)
The Normal ditribution is symmetric but so are other distributions.
symmetrical :)i do believe!hope this helps!Pixiex
yes it is true