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9231 P42 - Nov 2020 - Q3 - 7 marks
6835

A random sample of 200 observations of the continuous random variable \(X\) was taken and the values are summarised in the following table.


Interval
\(0 \leqslant x\lt 0.5\)\(0.5 \leqslant x\lt 1\)\(1 \leqslant x\lt 1.5\)\(1.5 \leqslant x\lt 2\)\(2 \leqslant x\lt 2.5\)\(2.5 \leqslant x\lt 3\)

Observed frequency
52340414645


It is required to test the goodness of fit of the distribution with probability density function f given by
\(f(x)=\left\{\begin{array}{ll} \frac{1}{9} x(4-x) & 0 \leqslant x \leqslant 3, \\ 0 & \text { otherwise } . \end{array}\right.\)

Most of the relevant expected frequencies, correct to 2 decimal places, are given in the following table.


Interval
\(0 \leqslant x\lt 0.5\)\(0.5 \leqslant x\lt 1\)\(1 \leqslant x\lt 1.5\)\(1.5 \leqslant x\lt 2\)\(2 \leqslant x\lt 2.5\)\(2.5 \leqslant x\lt 3\)

Expected frequency
\(p\)\(q\)37.9643.5243.5237.96



(a) Show that \(p=10.19\) and find the value of \(q\).

(b) Carry out a goodness of fit test, at the \(5 \%\) significance level, to test whether f is a satisfactory model for the data.

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