It may be or may not be; however a normal distribution is unimodal.
No, the normal distribution is strictly unimodal.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.
Because the domain of the normal distribution is infinite - in both directions.
It may be or may not be; however a normal distribution is unimodal.
No, the normal distribution is strictly unimodal.
No. Normal distribution is a special case of distribution.
Yes it is.
Bell-shaped, unimodal, symmetric
No they are not the same in a unimodal symmetrical distribution and they will never be
A bell shaped probability distribution curve is NOT necessarily a normal distribution.
No, the normal curve is not the meaning of the Normal distribution: it is one way of representing it.
One indicator of normality is when a data set follows a bell-shaped distribution, also known as a normal distribution. This can be visually represented by a symmetrical, unimodal curve where most of the data points cluster around the mean with decreasing frequency as they move away from the center.
It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.It could be a Gaussian curve (Normal distribution) rotated through a right angle.
The normal distribution would be a standard normal distribution if it had a mean of 0 and standard deviation of 1.
The median and mode.