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The Central Limit Theorem: as the sample size increases, typically n ≥ 30, the sampling distribution of the sample mean becomes approximately __________, regardless of the shape of the population’s distribution.

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azikennamdi

Answer:

The missing word is normal.

So the complete sentence would be: As the sample size increases, typically n≥ 30, the sampling distribution of the sample mean becomes approximately normal regardless of the shape of the population.

Explanation:

The shape of the population speaks to is distribution, whether it is skewed to the right or to the left.

In investment, for instance, this theorem holds true when the number of stock (which must have been randomly selected)  reaches 30.

Cheers

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