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Explain Central Limit Theorem? |
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Answer» As the sample size increases, the SAMPLING DISTRIBUTION of sample means approaches a normal distribution. If all possible random samples of size n are selected from a population with MEAN μ and standard deviation σ, the mean of the sample means is denoted by μ x̄ , so, μ x̄ = μ the standard deviation of the sample means is: σ x̄ = σ⁄√ n As the sample size increases, the sampling distribution of sample means approaches a normal distribution. If all possible random samples of size n are selected from a population with mean μ and standard deviation σ, the mean of the sample means is denoted by μ x̄ , so, μ x̄ = μ the standard deviation of the sample means is: σ x̄ = σ⁄√ n |
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