| Exam Board | OCR MEI |
|---|---|
| Module | Further Statistics Minor (Further Statistics Minor) |
| Year | 2022 |
| Session | June |
| Marks | 15 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Poisson distribution |
| Type | Goodness-of-fit test for Poisson |
| Difficulty | Standard +0.8 This is a standard chi-squared goodness-of-fit test for a Poisson distribution, requiring calculation of sample mean, Poisson probabilities, expected frequencies, and chi-squared contributions. While it involves multiple steps and careful arithmetic with the Poisson formula, it follows a well-established procedure taught in Further Statistics. The conceptual demand (understanding why categories are combined, degrees of freedom) is moderate but routine for this specification. |
| Spec | 5.02a Discrete probability distributions: general5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities5.02l Poisson conditions: for modelling5.02m Poisson: mean = variance = lambda5.06b Fit prescribed distribution: chi-squared test5.06c Fit other distributions: discrete and continuous |
| Number of wasps | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | \(\geqslant 10\) |
| Frequency | 0 | 2 | 5 | 5 | 12 | 10 | 10 | 11 | 1 | 4 | 0 |
| A | B | C | D | E | |
| \includegraphics[max width=\textwidth, alt={}]{e8624e9b-5143-49d2-9683-cc3a1082694e-4_132_40_1069_273} | Number of wasps | Observed frequency | Poisson probability | Expected frequency | Chi-squared contribution |
| 2 | \(\leqslant 2\) | 7 | 0.1165 | 6.9887 | 0.0000 |
| 3 | 3 | 5 | 8.0874 | 1.1786 | |
| 4 | 4 | 12 | 0.2765 | ||
| 5 | 5 | 10 | 0.0255 | ||
| 6 | 6 | 10 | 0.1490 | 8.9400 | 0.1257 |
| 7 | 7 | 11 | 0.1086 | 6.5134 | 3.0904 |
| 8 | \(\geqslant 8\) | 5 | 0.1440 | 8.6414 | |
| 9 |
| Answer | Marks | Guidance |
|---|---|---|
| 3 | (a) | 1×2+2×5+3×5+4×12+5×10+6×10+7×11+8×1+9×4 |
| Answer | Marks |
|---|---|
| = 5.1 | M1 |
| Answer | Marks |
|---|---|
| [2] | 1.1 |
| 1.1 | May see extra 0 terms in numerator |
| Answer | Marks |
|---|---|
| Given answer | 306 |
| Answer | Marks | Guidance |
|---|---|---|
| 3 | (b) | C3 = 0.1348 |
| Answer | Marks |
|---|---|
| = 1.5344 | B1 |
| Answer | Marks |
|---|---|
| [4] | 3.4 |
| Answer | Marks | Guidance |
|---|---|---|
| 1.1 | 4 decimal places required for all values | |
| 3 | (c) | Because if they were not then (some of) the expected |
| Answer | Marks | Guidance |
|---|---|---|
| not be valid) | E1 | |
| [1] | 2.4 | To ensure the expected frequencies |
| Answer | Marks | Guidance |
|---|---|---|
| 3 | (d) | H : Poisson model is a good fit |
| Answer | Marks |
|---|---|
| wasps (entering the nests). | B1 |
| Answer | Marks |
|---|---|
| [6] | 1.2 |
| Answer | Marks |
|---|---|
| 2.2b | Reference to ‘mean 5.1’ in hypotheses |
| Answer | Marks |
|---|---|
| refer to context. | Allow omission of |
| Answer | Marks | Guidance |
|---|---|---|
| 3 | (e) | 𝜆0 |
| Answer | Marks |
|---|---|
| λ = 5.2(4004…) | M1 |
| Answer | Marks |
|---|---|
| [2] | 3.1a |
Question 3:
3 | (a) | 1×2+2×5+3×5+4×12+5×10+6×10+7×11+8×1+9×4
60
= 5.1 | M1
A1
[2] | 1.1
1.1 | May see extra 0 terms in numerator
Accept e.g. 2+10+⋯+36
Given answer | 306
only scores M0
60
Needs to be correctly
obtained
3 | (b) | C3 = 0.1348
D5 = 10.5177
(5−8.6414)2
E8 =
8.6414
= 1.5344 | B1
B1
M1
A1
[4] | 3.4
2.2a
1.1a
1.1 | 4 decimal places required for all values
3 | (c) | Because if they were not then (some of) the expected
frequencies would be too low (<5) (and so the test would
not be valid) | E1
[1] | 2.4 | To ensure the expected frequencies
large enough
3 | (d) | H : Poisson model is a good fit
0
H : Poisson model is not a good fit
1
X2 = 6.23
Refer to X2
5
Critical value at 5% level = 11.07
6.23 < 11.07 (Accept H )
0
There is insufficient evidence to suggest that the
Poisson model is not a good fit for (the number of)
wasps (entering the nests). | B1
B1FT
M1
A1
M1
A1
[6] | 1.2
1.1
3.4
1.1
2.2b | Reference to ‘mean 5.1’ in hypotheses
Scores B0
FT their value of E8
or 𝜒2(6.231) = 0.7156
5
0.7156 < 0.95
Correct test and critical values required
Conclusion must follow correct
hypotheses, not be too assertive and
refer to context. | Allow omission of
context at this stage
Comparing their test
and critical values
leading to a
conclusion.
3 | (e) | 𝜆0
e−𝜆( ) = 0.0053
0!
λ = 5.2(4004…) | M1
A1
[2] | 3.1a
1.1
3 Jane wonders whether the number of wasps entering a wasp's nest per 5 second interval can be modelled by a Poisson distribution with mean $\mu$. She counts the number of wasps entering the nest over 60 randomly selected 5 -second intervals. The results are shown in Fig. 3.1.
\begin{table}[h]
\begin{center}
\begin{tabular}{ | l | l | l | l | l | c | c | c | c | l | l | c | }
\hline
Number of wasps & 0 & 1 & 2 & 3 & 4 & 5 & 6 & 7 & 8 & 9 & $\geqslant 10$ \\
\hline
Frequency & 0 & 2 & 5 & 5 & 12 & 10 & 10 & 11 & 1 & 4 & 0 \\
\hline
\end{tabular}
\captionsetup{labelformat=empty}
\caption{Fig. 3.1}
\end{center}
\end{table}
\begin{enumerate}[label=(\alph*)]
\item Show that a suitable estimate for the value of $\mu$ is 5.1.
Fig. 3.2 shows part of a screenshot for a $\chi ^ { 2 }$ test to assess the goodness of fit of a Poisson model. The sample mean has been used as an estimate for the population mean. Some of the values in the spreadsheet have been deliberately omitted.
\begin{table}[h]
\begin{center}
\begin{tabular}{|l|l|l|l|l|l|}
\hline
& A & B & C & D & E \\
\hline
\includegraphics[max width=\textwidth, alt={}]{e8624e9b-5143-49d2-9683-cc3a1082694e-4_132_40_1069_273}
& Number of wasps & Observed frequency & Poisson probability & Expected frequency & Chi-squared contribution \\
\hline
2 & $\leqslant 2$ & 7 & 0.1165 & 6.9887 & 0.0000 \\
\hline
3 & 3 & 5 & & 8.0874 & 1.1786 \\
\hline
4 & 4 & 12 & & & 0.2765 \\
\hline
5 & 5 & 10 & & & 0.0255 \\
\hline
6 & 6 & 10 & 0.1490 & 8.9400 & 0.1257 \\
\hline
7 & 7 & 11 & 0.1086 & 6.5134 & 3.0904 \\
\hline
8 & $\geqslant 8$ & 5 & 0.1440 & 8.6414 & \\
\hline
9 & & & & & \\
\hline
\end{tabular}
\captionsetup{labelformat=empty}
\caption{Fig. 3.2}
\end{center}
\end{table}
\item Determine the missing values in each of the following cells, giving your answers correct to 4 decimal places.
\begin{itemize}
\item C3
\item D5
\item E8
\item Explain why some of the frequencies have been combined into the categories $\leqslant 2$ and $\geqslant 8$.
\item In this question you must show detailed reasoning.
\end{itemize}
Carry out the hypothesis test at the 5\% significance level.
\item Jane also carries out a $\chi ^ { 2 }$ test for the number of wasps leaving another nest. As part of her calculations, she finds that the probability of no wasps leaving the nest in a 5 -second period is 0.0053 . She finds that a Poisson distribution is also an appropriate model in this case.
Find a suitable estimate for the value of the mean number of wasps leaving the nest per 5-second period.
\end{enumerate}
\hfill \mbox{\textit{OCR MEI Further Statistics Minor 2022 Q3 [15]}}