Sampling From A Non-Normal Population (Central Limit Theorem)

Sampling From A Non-Normal Population (Central Limit Theorem)

A random sample of \(40\) observations is selected from a population with mean \(20\) and standard deviation \(2.9\). Given that \(\bar{X}\) is the sample mean, state the approximate distribution of \(\bar{X}\). Hence, find

  1. \(\mathrm{P}\left( \bar{X}\le 20.7 \right)\);
  2. \(\mathrm{P}\left( \bar{X}>18.5 \right)\);
  3. \(\mathrm{P}\left( 14<\bar{X}\le 19.5 \right)\);
  4. the value of \(a\) if \(\mathrm{P}\left( \bar{X}>a \right)=0.05\).

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Answer:\(\bar X\mathrel{\dot\sim}N\left(20,\frac{2.9^2}{40}\right)\) (a) \(0.937\) (b) \(0.999\) (c) \(0.138\) (d) \(20.8\)

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