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9231 P41 - Jun 2023 - Q3 - 9 marks
6675

A random sample of 50 values of the continuous random variable \(X\) was taken. These values are summarised in the following table.


Interval
\(1 \leqslant x\lt 1.5\)\(1.5 \leqslant x\lt 2\)\(2 \leqslant x\lt 2.5\)\(2.5 \leqslant x\lt 3\)\(3 \leqslant x\lt 3.5\)\(3.5 \leqslant x \leqslant 4\)

Observed frequency
338111312


It is required to test the goodness of fit of the distribution with probability density function f given by
\(f(x)=\left\{\begin{array}{ll} \frac{1}{24}\left(\frac{4}{x^{2}}+x^{2}\right) & 1 \leqslant x \leqslant 4, \\ 0 & \text { otherwise } . \end{array}\right.\)

The expected frequencies, correct to 4 decimal places, are given in the following table.


Interval
\(1 \leqslant x\lt 1.5\)\(1.5 \leqslant x\lt 2\)\(2 \leqslant x\lt 2.5\)\(2.5 \leqslant x\lt 3\)\(3 \leqslant x\lt 3.5\)\(3.5 \leqslant x \leqslant 4\)

Expected frequency
4.4271\(a\)6.12858.4549\(b\)14.9678



(a) Show that \(a=4.6007\) and find the value of \(b\).

(b) Carry out a goodness of fit test, at the \(10 \%\) significance level, to test whether f is a satisfactory model for the data.

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