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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

Respuesta :

Answer:

A.TRUE

Because of the Central Limit Theorem

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random skewed variable X, with mean [tex]\mu[/tex] and standard deviation [tex]\sigma[/tex], the sampling distributions of the mean with size n of at least 30 can be approximated to a normal distribution with mean [tex]\mu[/tex] and standard deviation [tex]s = \frac{\sigma}{\sqrt{n}}[/tex]

So the correct answer is:

A.TRUE

Because of the Central Limit Theorem

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