Yes. By definition. A normal distribution has a bell-shaped density curve described by its mean and standard deviation. The density curve is symmetrical(i.e., an exact reflection of form on opposite sides of a dividing line), and centered about (divided by) its mean, with its spread (width) determined by its standard deviation. Additionally, the mean, median, and mode of the distribution are equal and located at the peak (i.e., height of the curve).
No. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
It is symmetrical
It is not necessary that all symetric distribution may be normal.
It is a symmetrical, "bell-shaped" curve. The tails are infinitely long.
You call it a bell shaped curved. It may or may not be Gaussian (Normal).
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.
The statement is false. The binomial distribution (discrete) or uniform distribution (discrete or continuous) are symmetrical but they are not normal. There are others.
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