Sampling - Central Limit Theorem

Sampling - Central Limit Theorem

The random variable \(X\) has mean \(25\) and standard deviation \(4.5\). A random sample of \(500\) observations is taken. Find the value of \(a\), correct to \(3\) decimal places, such that \(\mathrm{P}\left( \overline{X}>a \right)= 0.75\). Explain whether it is necessary to apply the Central Limit Theorem in this case.

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Answer:\(a=24.864\text{ (3 d.p.)}\). The Central Limit Theorem is required because the distribution of \(X\) is not stated to be normal.

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