If a population is normally distributed, the distribution of the
sample means for a given sample size n will
A. be positively skewed
B. be negatively skewed
C. be uniform
D. be normal
E. none of the above
If a population is not normally distributed, the distribution of
the sample means for a given sample size n will
A. take the same shape as the population
B. approach a normal distribution as n increases
C. be positively skewed
D. be negatively skewed
E. none of the above
Let x1,x2,.................,xn follows normal distribution with mean and variance .
Then
which also follows normal distribution with mean and variance
Hence , if a population is normally distributed, the distribution of the sample means for a given sample size n will be normal.
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Clearly, for x1,x2,.................,xn be random sample drawn from a distribution,then,
which tends to normality as n tends to
Hence,
If a population is not normally distributed, the distribution of the sample means for a given sample size n will approach a normal distribution as n increases.
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