The Central Limit Theorem states that if the sample size,n,is sufficiently large,the sampling distribution of the means will be approximately normal no matter whether the population is normally distributed,skewed,or uniform.
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Q3: The mean of all possible sample means
Q18: To determine the value of the standard
Q30: What is the difference between a sample
Q32: The Central Limit Theorem states that
Q33: An estimate of the population mean based
Q34: The Central Limit Theorem states that
Q37: What sample statistic is used to estimate
Q38: Based on the central limit theorem,sampling error
Q39: The true sampling error is usually
Q41: Sampling error is defined as
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