SPS SPS FM Statistics 2022 February — Question 5 7 marks

Exam BoardSPS
ModuleSPS FM Statistics (SPS FM Statistics)
Year2022
SessionFebruary
Marks7
TopicChi-squared test of independence
TypeChi-squared test with algebraic entries
DifficultyStandard +0.8 This question requires understanding of chi-squared test mechanics including deriving the O-E expression algebraically from a partially-specified contingency table (non-trivial algebra with row/column totals), then conducting a hypothesis test with correct degrees of freedom. The algebraic manipulation in part (a) is more demanding than standard chi-squared questions, elevating it above average difficulty.
Spec5.06a Chi-squared: contingency tables

5. Charlie carried out a survey on the main type of investment people have. The contingency table below shows the results of a survey of a random sample of people.
\cline { 3 - 5 } \multicolumn{2}{c|}{}Main type of investment
\cline { 3 - 5 } \multicolumn{2}{c|}{}BondsCashStocks
\multirow{2}{*}{Age}\(25 - 44\)\(a\)\(b - e\)\(e\)
\cline { 2 - 5 }\(45 - 75\)\(c\)\(d - 59\)59
  1. Find an expression, in terms of \(a , b , c\) and \(d\), for the difference between the observed and the expected value \(( O - E )\) for the group whose main type of investment is Bonds and are aged \(45 - 75\) Express your answer as a single fraction in its simplest form. Given that \(\sum \frac { ( O - E ) ^ { 2 } } { E } = 9.62\) for this information,
  2. test, at the \(5 \%\) level of significance, whether or not there is evidence of an association between the age of a person and the main type of investment they have. You should state your hypotheses, critical value and conclusion clearly. You may assume that no cells need to be combined.
    [0pt]

5. Charlie carried out a survey on the main type of investment people have.

The contingency table below shows the results of a survey of a random sample of people.

\begin{center}
\begin{tabular}{ | c | c | c | c | c | }
\cline { 3 - 5 }
\multicolumn{2}{c|}{} & \multicolumn{3}{c|}{Main type of investment} \\
\cline { 3 - 5 }
\multicolumn{2}{c|}{} & Bonds & Cash & Stocks \\
\hline
\multirow{2}{*}{Age} & $25 - 44$ & $a$ & $b - e$ & $e$ \\
\cline { 2 - 5 }
 & $45 - 75$ & $c$ & $d - 59$ & 59 \\
\hline
\end{tabular}
\end{center}
\begin{enumerate}[label=(\alph*)]
\item Find an expression, in terms of $a , b , c$ and $d$, for the difference between the observed and the expected value $( O - E )$ for the group whose main type of investment is Bonds and are aged $45 - 75$\\
Express your answer as a single fraction in its simplest form.

Given that $\sum \frac { ( O - E ) ^ { 2 } } { E } = 9.62$ for this information,
\item test, at the $5 \%$ level of significance, whether or not there is evidence of an association between the age of a person and the main type of investment they have. You should state your hypotheses, critical value and conclusion clearly. You may assume that no cells need to be combined.\\[0pt]

\end{enumerate}

\hfill \mbox{\textit{SPS SPS FM Statistics 2022 Q5 [7]}}