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.
A uniform distribution is not considered unimodal because it has a constant probability density across its range, meaning there are no peaks or modes. In a unimodal distribution, there is one clear peak where the values cluster, while in a uniform distribution, all values within the specified range are equally likely. Therefore, it lacks a single mode.
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.
A uniform distribution is not considered unimodal because it has a constant probability density across its range, meaning there are no peaks or modes. In a unimodal distribution, there is one clear peak where the values cluster, while in a uniform distribution, all values within the specified range are equally likely. Therefore, it lacks a single mode.