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
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 is approximately normal distribution.
The Central Limit Theorem says A. When ?<30n<30, the original population will be approximately a normal...
The Central Limit Theorem says A) When n<30 , the sampling distribution of x¯¯¯ will be approximately a normal distribution. B) When n<30 , the original population will be approximately a normal distribution. C) When n>30 , the original population will be approximately a normal distribution. D) When n>30 , the sampling distribution of x¯¯¯ will be approximately a normal distribution.
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