CAIE Further Paper 4 2024 November — Question 3 10 marks

Exam BoardCAIE
ModuleFurther Paper 4 (Further Paper 4)
Year2024
SessionNovember
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicChi-squared goodness of fit
TypeChi-squared goodness of fit: Binomial
DifficultyStandard +0.3 This is a standard chi-squared goodness of fit test with a binomial distribution. Part (a) requires calculating the sample mean to estimate p (routine calculation: total germinations/total seeds = 315/750). Part (b) follows a textbook procedure: calculate expected frequencies using B(5,0.42), combine cells with expected frequencies <5, compute the test statistic, and compare to critical value. While it requires multiple steps and careful arithmetic, it involves no novel insight—just systematic application of a well-practiced technique. Slightly easier than average due to its procedural nature.
Spec5.06b Fit prescribed distribution: chi-squared test

3 Rosie sows 5 seeds in each of 150 plant pots. The number of seeds that germinate is recorded for each pot. The results are summarised in the following table.
Number of seeds that germinate012345
Number of pots12404335164
Rosie suggests that the number of seeds that germinate follows the binomial distribution \(\mathrm { B } ( 5 , p )\).
  1. Use Rosie's results to show that \(p = 0.42\).
  2. Carry out a goodness of fit test, at the \(10 \%\) significance level, to test whether the distribution \(\mathrm { B } ( 5,0.42 )\) is a good fit for the data. \includegraphics[max width=\textwidth, alt={}, center]{b9cbf607-4f40-41bb-8374-6b2c39f945ac-06_2720_38_109_2010} \includegraphics[max width=\textwidth, alt={}, center]{b9cbf607-4f40-41bb-8374-6b2c39f945ac-07_2726_35_97_20}

Question 3(a):
AnswerMarks Guidance
\(\bar{x}=\frac{40+86+105+64+20}{150}=\frac{315}{150}=2.1\), \(\quad p=\frac{2.1}{5}=0.42\)B1 Must see either 315 or 2.1. AG
1
Question 3(b):
AnswerMarks Guidance
Number of seeds that germinate0 1
Number of pots12 40
Expected frequency9.846 35.6475
B1Calculate expected frequencies (must be seen) at least 2 correct to at least 2 decimal places.
B1At least 4 correct to at least 2 decimal places.
Combine last two columnsM1 20, 15.50, may be implied by answer \(3.90-3.91\).
Chi-squared contributions: \(0.4712\quad 0.5314\quad 1.4416\quad 0.1521\quad 1.3088\)M1 At least 2 correct, may be implied by answer \(3.90-3.91\).
Test statistic \(= 3.905\)A1 accept \(3.90-3.910\)
\(H_0\): Binomial B(5, 0.42) fits the data; \(H_1\): Binomial B(5, 0.42) does not fit the dataB1 Allow 'Binomial' for 'B(5, 0.42)'. Allow 'Number of seeds that germinate can be modelled by B(5, 0.42)'
Critical value is 6.251B1 Must come from combined columns. Allow 7.779.
\('3.905' < '6.251'\) Accept \(H_0\)M1 Reject \(H_1\), not significant.
Insufficient evidence to suggest that B(5, 0.42) is not a good fit (to the data)A1 Correct work only, including hypotheses, level of uncertainty in language.
9
## Question 3(a):

$\bar{x}=\frac{40+86+105+64+20}{150}=\frac{315}{150}=2.1$, $\quad p=\frac{2.1}{5}=0.42$ | B1 | Must see either 315 or 2.1. AG

| 1 |

## Question 3(b):

| Number of seeds that germinate | 0 | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|
| Number of pots | 12 | 40 | 43 | 35 | 16 | 4 |
| Expected frequency | 9.846 | 35.6475 | 51.627 | 37.3845 | 13.536 | 1.9605 |

B1 | Calculate expected frequencies (must be seen) at least 2 correct to at least 2 decimal places.

B1 | At least 4 correct to at least 2 decimal places.

Combine last two columns | M1 | 20, 15.50, may be implied by answer $3.90-3.91$.

Chi-squared contributions: $0.4712\quad 0.5314\quad 1.4416\quad 0.1521\quad 1.3088$ | M1 | At least 2 correct, may be implied by answer $3.90-3.91$.

Test statistic $= 3.905$ | A1 | accept $3.90-3.910$

$H_0$: Binomial B(5, 0.42) fits the data; $H_1$: Binomial B(5, 0.42) does not fit the data | B1 | Allow 'Binomial' for 'B(5, 0.42)'. Allow 'Number of seeds that germinate can be modelled by B(5, 0.42)'

Critical value is 6.251 | B1 | Must come from combined columns. Allow 7.779.

$'3.905' < '6.251'$ Accept $H_0$ | M1 | Reject $H_1$, not significant.

Insufficient evidence to suggest that B(5, 0.42) is not a good fit (to the data) | A1 | Correct work only, **including hypotheses**, level of uncertainty in language.

| 9 |

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3 Rosie sows 5 seeds in each of 150 plant pots. The number of seeds that germinate is recorded for each pot. The results are summarised in the following table.

\begin{center}
\begin{tabular}{|l|l|l|l|l|l|l|}
\hline
Number of seeds that germinate & 0 & 1 & 2 & 3 & 4 & 5 \\
\hline
Number of pots & 12 & 40 & 43 & 35 & 16 & 4 \\
\hline
\end{tabular}
\end{center}

Rosie suggests that the number of seeds that germinate follows the binomial distribution $\mathrm { B } ( 5 , p )$.
\begin{enumerate}[label=(\alph*)]
\item Use Rosie's results to show that $p = 0.42$.
\item Carry out a goodness of fit test, at the $10 \%$ significance level, to test whether the distribution $\mathrm { B } ( 5,0.42 )$ is a good fit for the data.\\

\includegraphics[max width=\textwidth, alt={}, center]{b9cbf607-4f40-41bb-8374-6b2c39f945ac-06_2720_38_109_2010}\\
\includegraphics[max width=\textwidth, alt={}, center]{b9cbf607-4f40-41bb-8374-6b2c39f945ac-07_2726_35_97_20}
\end{enumerate}

\hfill \mbox{\textit{CAIE Further Paper 4 2024 Q3 [10]}}