Challenging +1.2 Part (a) is a standard chi-squared goodness of fit test with given expected ratios—routine calculation requiring converting ratios to expected frequencies, computing test statistic, and comparing to critical value. Part (b) adds a layer requiring students to work backwards to find the minimum sample size for rejection, which involves algebraic manipulation and understanding of how the test statistic scales with sample size, elevating this above a purely procedural question.
9 The head teacher of a school believes that, on average, pupil absences on the days Monday, Tuesday, Wednesday, Thursday and Friday are in the ratio \(3 : 2 : 2 : 2 : 3\). The head teacher takes a random sample of 120 pupil absences. The results are as follows.
Day of week
Monday
Tuesday
Wednesday
Thursday
Friday
Number of absences
28
16
24
16
36
Test at the \(5 \%\) significance level whether these results are consistent with the head teacher's belief.
A significance test at the \(5 \%\) level is also carried out on a second, independent, random sample of \(n\) pupil absences. All the numbers of absences are integers. The ratio of the numbers of absences for each day in this sample is identical to the ratio of the numbers of absences for each day in the original sample of size 120.
Determine the smallest value of \(n\) for which the conclusion of this significance test is that the data are not consistent with the head teacher's belief.
9 The head teacher of a school believes that, on average, pupil absences on the days Monday, Tuesday, Wednesday, Thursday and Friday are in the ratio $3 : 2 : 2 : 2 : 3$. The head teacher takes a random sample of 120 pupil absences. The results are as follows.
\begin{center}
\begin{tabular}{ | c | c | c | c | c | c | }
\hline
Day of week & Monday & Tuesday & Wednesday & Thursday & Friday \\
\hline
Number of absences & 28 & 16 & 24 & 16 & 36 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Test at the $5 \%$ significance level whether these results are consistent with the head teacher's belief.
A significance test at the $5 \%$ level is also carried out on a second, independent, random sample of $n$ pupil absences. All the numbers of absences are integers. The ratio of the numbers of absences for each day in this sample is identical to the ratio of the numbers of absences for each day in the original sample of size 120.
\item Determine the smallest value of $n$ for which the conclusion of this significance test is that the data are not consistent with the head teacher's belief.
\end{enumerate}
\hfill \mbox{\textit{OCR Further Statistics 2022 Q9 [10]}}