If the sampled population is exactly normally distributed,then the sampling distribution of
is also expected to be normal,regardless of the sample size.
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Q5: The sampling distribution of Q5: The Central Limit Theorem states that as Q6: We can randomly select a sample from Q7: A sample size of 500 is sufficiently Q9: If p = .9 and n = Q10: A minimum-variance unbiased point estimate has a Q11: If the sampled population distribution is skewed Q13: If a population is known to be Q14: The standard deviation of all possible sample Q20: If a population is known to be![]()
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