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Is homogeneous uniform distribution

Updated: 4/28/2022
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Q: Is homogeneous uniform distribution
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Is the uniform probability distribution is symmetric about the mode?

Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.


What is the variance of the uniform distribution function?

the variance of the uniform distribution function is 1/12(square of(b-a)) and the mean is 1/2(a+b).


Can the Empirical Rule of probability be applied to the uniform probability distribution?

Yes, except that if you know that the distribution is uniform there is little point in using the empirical rule.


The shape of any uniform probability distribution is?

Rectangular


Does this means that all symmetric distribution are normal Explain?

Don't know what "this" is, but all symmetric distributions are not normal. There are many distributions, discrete and continuous that are not normal. The uniform or binomial distributions are examples of discrete symmetric distibutions that are not normal. The uniform and the beta distribution with equal parameters are examples of a continuous distribution that is not normal. The uniform distribution can be discrete or continuous.

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What is evenly distributed uniform mixture called?

The term that describes a mixture with a uniform composition is homogeneous. This means that its components are distributed throughout it evenly.


What describes something that has a uniform structure and composition throughout?

I believe the answer is homogeneous. A Homogeneous mixture is something that is uniform throughout.


What is a model in which each outcome has an equal probability of occurring?

A uniform distribution.A uniform distribution.A uniform distribution.A uniform distribution.


Is air homogeneous mixture?

Homogeneous mixture-uniform mixture of the element


Is vodka a homogeneous?

Yes. In homogeneous mixtures, you cannot pick out the individual components visually.


Is pure substance uniform composition?

a pure substance. either a compound or an element. Also, a solution, which is a homogeneous mixture, not a pure substance.


Is homogeneous mixture is all the same or different?

A homogeneous mixture is uniform (the same) throughout.


What is part of homogeneous?

An adjective. Homogeneous mixture is a mixture which has uniform composition and properties throughout.


Which distribution is the rarest found in communities?

Uniform distribution


What type of mixture is uniform throughout?

Yes. First of all,a solution can also be called a Homogeneous Mixture, and a Homogeneous Mixture has an Uniform composition. ''Uni'' means one.


Distinguish between homogeneous and heterogeneous?

Heterogeneous mixtures do not have a uniform composition, while homogeneous mixtures do have a uniform composition. Beef stew is an example of a heterogeneous mixture, while salt water is an example of a homogeneous mixture.


Is the uniform probability distribution is symmetric about the mode?

Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.