Sampling - Determining Sample Size from Probability Conditions

Sampling - Determining Sample Size from Probability Conditions

10 marks

The random variable \(X\) has the distribution \(X \sim \mathrm{N}(\mu, \sigma^2)\). It is given that \(X_1\) and \(X_2\) are \(2\) independent observations of \(X\) with \(\mathrm{P}(4 < X < 6) = 0.5\) and \(\mathrm{P}(X_1 + X_2 > 10) = 0.5\).

  1. Show that \(\mu = 5\) and state, with a reason, the value of \(\mathrm{P}(2X > 10)\).[3]
  2. Find the value of \(\sigma\), giving your answer to \(5\) significant figures.[3]
  3. A random sample of \(n\) observations of \(X\) is obtained. Given that there is a probability of more than \(95\%\) such that the sample mean is within \(0.1\) units of \(\mu\), find the least value of \(n\).[4]

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Answer:(i) \(\mu=5\), \(\mathrm P(2X>10)=0.5\) (ii) \(\sigma=1.4826\) (iii) least \(n=845\)

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