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Question 1 of 19
What is the Central Limit Theorem's key implication?
Statistics
A
Sample means are normally distributed regardless of population distribution
B
The variance of sample means equals the population variance
C
Larger samples reduce bias in parameter estimation
D
The mean of any distribution converges to the median
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