Wiki User
∙ 6y agoIt is 1.281551
Wiki User
∙ 6y ago-1.28
No, the normal distribution is strictly unimodal.
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
A normal distribution can have any value for its mean and any positive value for its variance. A standard normal distribution has mean 0 and variance 1.
No. Normal distribution is a continuous probability.
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In a normal case, you take the highest number and subtract it by the lowest answer
You can measure it from crest to crest (highest point of a wave), trough to trough (lowest point of a wave), or from normal to normal.
The standard normal distribution is a normal distribution with mean 0 and variance 1.
The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.
le standard normal distribution is a normal distribution who has mean 0 and variance 1
When its probability distribution the standard normal distribution.
No, the normal distribution is strictly unimodal.
Yes. When we refer to the normal distribution, we are referring to a probability distribution. When we specify the equation of a continuous distribution, such as the normal distribution, we refer to the equation as a probability density function.
The Normal distribution is, by definition, symmetric. There is no other kind of Normal distribution, so the adjective is not used.
The standard normal distribution has a mean of 0 and a standard deviation of 1.
The domain of the normal distribution is infinite.