central limit theorem of liapounoff form
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Step-by-step explanation:
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The Central Limit Theorem states that the sampling distribution of the sample means approaches a normal distribution as the sample size gets larger — no matter what the shape of the population distribution. This fact holds especially true for sample sizes over 30.
Step-by-step explanation:
Central Limit Theorem for Sample Means z-score and standard error of the mean: z=ˉx−μx(σx√n)
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