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3 years ago

8

How are central tendency and standard deviation related to understanding probability distributions

1 answer:

Shalnov [3]3 years ago

5 0

Answer:

Central tendency and standard deviation both require mutual understanding of the proletariat functions of the hypothetical parabola, which in turn creates a non-linear function between both of the various data sets. Also, they create the basis for totalitarian graphing sets because complex theorems are infinite.

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Step-by-step explanation:

You have the following functions:

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Therefore $(u/v)(x)$ indicates that you must divide both functions, as you can see below:

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Simplify it. Therefore, you obtain:

$(u/v)(x)=\frac{x^{5}-x^{4}+x^{2}}{-x^{2}}\\\\(u/v)(x)=-x^{3}+x^{2}-1$

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