6 The probability distribution of a discrete random variable, \(X\), is shown in the table below.
| \(x\) | 0 | 1 | 2 |
| \(\mathrm { P } ( X = x )\) | \(1 - a - b\) | \(a\) | \(b\) |
- Find \(\mathrm { E } ( X )\) in terms of \(a\) and \(b\).
- In the case where \(\mathrm { E } ( \mathrm { X } ) = \mathrm { a } + 0.4\), find an expression for \(\operatorname { Var } ( X )\) in terms of \(a\).
- In this case, show that the greatest possible value of \(\operatorname { Var } ( X )\) is 0.65 . You must state the associated value of \(a\).
- You are now given instead that \(\mathrm { E } ( X )\) is not known.
- State the least possible value of \(\operatorname { Var } ( X )\).
- Give all possible pairs of values of \(a\) and \(b\) which give the least possible value of \(\operatorname { Var } ( X )\) stated in part (c)(i).