If a population is distributed with a mean μ and a standard deviation σ, then the distribution of sample means is distributed
A) normally with mean μ and standard deviation σ.
B) normally with mean μ and standard deviation σ/√(n).
C) with mean μ and standard deviation σ.
D) with mean μ and standard deviation σ/√(n).
If a population is distributed with a mean μ and a standard deviation σ, then the distribution of sample means is distributed
ans-> D) with mean μ and standard deviation σ/√(n).
Let denotes the sample mean for a sample of size n.
Now,
Mean of sample means =
and Variance of sample means =
and standard deviation of sample means =
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