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If the sampled population distribution is skewed, then in most cases the sampling distribution of the mean can be approximated by the normal distribution if the sample size n is at least 30.A.TRUEB.FALSE

User Bdrelling
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1 Answer

5 votes

Answer:

A.TRUE

Because of the Central Limit Theorem

Explanation:

The Central Limit Theorem estabilishes that, for a random skewed variable X, with mean
\mu and standard deviation
\sigma, the sampling distributions of the mean with size n of at least 30 can be approximated to a normal distribution with mean
\mu and standard deviation
s = (\sigma)/(√(n))

So the correct answer is:

A.TRUE

Because of the Central Limit Theorem

User It Assistors
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