3 years ago

Can i get help now text

Mathematics

1 answer:

Savatey [412]3 years ago

5 0

I want to say its B but I'm not 100% sure

Hope this helps a little! :)

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Lady_Fox [76]

Answer:

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Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

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What is the shape of the sampling distribution you would expect to produce?

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2 years ago