Examples of 'normal distribution' in a sentence

Meaning of "normal distribution"

In statistics, a normal distribution refers to a probability distribution where the values are symmetrically distributed around the mean. It forms a bell-shaped curve and is also known as a Gaussian distribution. It is widely used to model various phenomena in fields such as economics, physics, and social sciences
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  • Any of a family of continuous probability distributions such that the probability density function is the Gaussian function

How to use "normal distribution" in a sentence

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normal distribution
Normal distribution was observed for all variables.
Normal or approximately normal distribution of in each group.
The normal distribution has a skewness of zero.
So this converges to a normal distribution very quickly.
The normal distribution is just a probability distribution.
Think about what a normal distribution means.
The normal distribution is defined by two parameters.
And is the cumulative normal distribution function.
Is the normal distribution of the size of aggregates.
This organization had a normal distribution of ratings.
Normal distribution of deviations is assumed in statistical tests.
This organization has a normal distribution of ratings.
For a normal distribution the skewness is zero.
The shape is called a normal distribution curve.
Normal distribution and standard normal distribution.

See also

Let is the standard normal distribution function.
The normal distribution is one of many distributions.
Here is where the normal distribution comes in.
The normal distribution is important in statistics because.
The fourth central moment of a normal distribution is.
So this is a normal distribution right over there.
This has nothing to do with a normal distribution.
The use of normal distribution in hypothesis testing.
A special case is the multivariate normal distribution.
The normal distribution is one family of stable distributions.
But you get sort of a normal distribution.
The normal distribution is a subclass of the elliptical distributions.
And we know that that is going to be a normal distribution.
For the normal distribution it is unbiased.
The conventional choice of distribution is a normal distribution.
Compliance to the normal distribution was tested.
A class of statistics with asymptotically normal distribution.
The normal distribution defines a family of stable distributions.
So first let us revisit this normal distribution.
Fitting a normal distribution to interval and fuzzy data.
Aortic diameter parameters showed a normal distribution.
And we had a nice normal distribution of body temperature.
All parameters were checked for normal distribution.
See also normal distribution and hypothesis testing.
All the data showed normal distribution.
A perfectly normal distribution will have a skewness of zero.
All analyzed data presented normal distribution.
As well the normal distribution is symmetric.
So you can approximate it with a normal distribution.
A normal distribution of data is like rolling a pair of dice.
The values found showed normal distribution.
A normal distribution does not have a range.
Because this is not a normalized normal distribution.
Using the normal distribution tool of.
So let me draw that standard normal distribution.

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