Use normal symmetry and tail quantiles to determine mean, standard deviation and a cumulative probability.

Use normal symmetry and tail quantiles to determine mean, standard deviation and a cumulative probability.

16 marks
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The graph shows a normal curve for the random variable \(X\), with mean \(\mu\) and standard deviation \(\sigma\). It is known that \(P(X\ge12)=0.1\).

  1. The shaded region \(A\) is the region under the curve where \(x\ge12\). Write down the area of the shaded region \(A\).[1]
  2. It is also known that \(P(X\le8)=0.1\). Find the value of \(\mu\), explaining your method in full.[5]
  3. Show that \(\sigma=1.56\) to an accuracy of three significant figures.[5]
  4. Find \(P(X\le11)\).[5]

Solution:

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Answer:\(P(X\le11)=P\!\left(Z\le\frac{11-10}{1.5606}\right)=0.739\).

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