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A slot machine is tested to examine whether the observed outcomes agree with the expected frequencies. The machine is run 1197 times to test the 10 different categories. The test statistic \({\chi ^2} = 8.185\).

Assume that the samples are randomly selected, where the data includes a frequency counts. Also, it is assumed that the expected frequency is lesser than 5.

The hypotheses for conducting the given test is as follows:

\({H_0}:{p_0} = {p_1} = ... = {p_{10}}\)

\({H_a}:\)at least one of the proportions measure is different from others.

Where,\({p_0},{p_1},...,{p_{10}}\)are the proportions corresponding to different categories.

The test is right-tailed.

The value of the test statistic is given to be equal to 8.185.

Let k be the number of categories.

The degrees of freedom for computing the critical value are:

\(\begin{aligned}{c}df = k - 1\\ = 10 - 1\\ = 9\end{aligned}\)

Thus, the critical value of\({\chi ^2}\)corresponding to\(\alpha = 0.05\)and degrees of freedom equal to 9 is equal to 16.919.

The p-value is,

\(\begin{aligned}{c}p - value = P\left( {{\chi ^2} > 8.815} \right)\\ = 0.516\end{aligned}\)

Since the test statistic value is less than the critical value along with the p-value which is greater than 0.05, then the null hypothesis is failed to be rejected.

There is not enough evidence to support the statement that the observed frequencies differ from the expected frequency.

Thus, the slot machine appears to be working as expected.