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The domain of the normal distribution is infinite.

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Q: Is the normal distribution infinite
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Related questions

Why the normal distribution curve have extremes is opened?

Because the domain of the normal distribution is infinite - in both directions.


Is the range of outcomes infinite in normal distribution?

1


Normal distribution is finite?

The domain is infinite but the range is finite.


The total area under a normal distribution is infinite?

The total area under a normal distribution is not infinite. The total area under a normal distribution is a continuous value between any 2 given values. The function of a normal distribution is actually defined such that it must have a fixed value. For the "standard normal distribution" where μ=0 and σ=1, the area under the curve is equal to 1.


Does the curve in a normal distribution stop at plus or minus 3 standard deviations?

No. The curve in a normal distribution goes on out to plus and minus infinity. You might never see any observations out there, but if you were to make an infinite number of observations, you theoretically would.


What is the difference between a normal distribution and the standard normal distribution?

The standard normal distribution is a normal distribution with mean 0 and variance 1.


What is the difference of a normal distribution and a stardard normal distribution?

The standard normal distribution is a special case of the normal distribution. The standard normal has mean 0 and variance 1.


Is continuous distribution normal distribution?

le standard normal distribution is a normal distribution who has mean 0 and variance 1


When can you say the distribution is considered normal?

When its probability distribution the standard normal distribution.


Does a normal probability distribution include a bimodal distribution?

No, the normal distribution is strictly unimodal.


Is normal distribution also a probability distribution?

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.


How does standard normal distribution differ from normal distribution?

The standard normal distribution has a mean of 0 and a standard deviation of 1.