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The Central Limit Theorem says A. When ?<30n<30, the original population will be approximately a normal...

The Central Limit Theorem says


A. When ?<30n<30, the original population will be approximately a normal distribution.
B. When ?<30n<30, the sampling distribution of ?⎯⎯⎯x¯ will be approximately a normal distribution.
C. When ?>30n>30, the original population will be approximately a normal distribution.
D. When ?>30n>30, the sampling distribution of ?⎯⎯⎯x¯ will be approximately a normal distribution.
E. None of the above

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Answer #1

Central limit theorem applies for either large sample size (that is n > 30) , or if original population is

normally distributed (or both).

So

When n > 30 , the sampling distribution of \bar{x} is approximately normal distribution.

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