OCR MEI Further Statistics Minor 2024 June — Question 6

Exam BoardOCR MEI
ModuleFurther Statistics Minor (Further Statistics Minor)
Year2024
SessionJune
TopicDiscrete Probability Distributions
TypeMultiple unknowns from expectation and variance

6 The probability distribution of a discrete random variable, \(X\), is shown in the table below.
\(x\)012
\(\mathrm { P } ( X = x )\)\(1 - a - b\)\(a\)\(b\)
  1. Find \(\mathrm { E } ( X )\) in terms of \(a\) and \(b\).
    1. In the case where \(\mathrm { E } ( \mathrm { X } ) = \mathrm { a } + 0.4\), find an expression for \(\operatorname { Var } ( X )\) in terms of \(a\).
    2. In this case, show that the greatest possible value of \(\operatorname { Var } ( X )\) is 0.65 . You must state the associated value of \(a\).
  2. You are now given instead that \(\mathrm { E } ( X )\) is not known.
    1. State the least possible value of \(\operatorname { Var } ( X )\).
    2. 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).