| Exam Board | Edexcel |
|---|---|
| Module | S2 (Statistics 2) |
| Year | 2012 |
| Session | January |
| Marks | 16 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Poisson distribution |
| Type | Poisson approximation justification or comparison |
| Difficulty | Moderate -0.3 This is a straightforward application of the Poisson distribution with standard conditions recall and routine calculations. Part (a)-(b) test basic knowledge of when Poisson applies, (c)-(d) are direct probability calculations with given parameters, and (e) requires the standard normal approximation technique. All steps are textbook procedures with no novel problem-solving required, making it slightly easier than average. |
| Spec | 2.04d Normal approximation to binomial5.02i Poisson distribution: random events model5.02j Poisson formula: P(X=x) = e^(-lambda)*lambda^x/x!5.02k Calculate Poisson probabilities |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Poisson | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| Hits occur singly in time | B1 | Any one of the 3 statements — no context required. Must be constant (mean) rate, not constant probability or constant mean |
| Hits are independent or Hits occur randomly | B1 | A different statement with context of hits. NB random and independent are the same statement. If only one mark awarded, give 1st B1. Never award B0B1 |
| Hits occur at a constant rate |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| \(X \sim Po(5)\) | B1 | Writing or using \(Po(5)\) |
| \(P(X=10) = P(X \leq 10) - P(X \leq 9)\) or \(\frac{e^{-5}5^{10}}{10!}\) | M1 | |
| \(= 0.9863 - 0.9682 = 0.0181\) | A1 | awrt 0.0181 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| \(X \sim Po(10)\) | B1 | Writing or using \(Po(10)\) |
| \(P(X \geq 15) = 1 - P(X \leq 14)\) | M1 | Writing or using \(1 - P(X \leq 14)\) |
| \(= 1 - 0.9165 = 0.0835\) | A1 | awrt 0.0835 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Mark | Guidance |
| \(X \sim Po(50)\), Approximated by \(N(50, 50)\) | B1B1 | 1st B1 for normal approximation. 2nd B1 for correct mean and sd |
| \(P(X > 70) = P\!\left(Z > \frac{70.5 - 50}{\sqrt{50}}\right)\) | M1M1 | 1st M1 for attempting continuity correction \((71 \pm 0.5)\). 2nd M1 for standardising using their mean and sd; allow \([69.5, 70, 70.5, 71, 71.5]\), allow \(\pm z\) |
| \(= P(Z > 2.899\ldots)\) | A1 | \(z = \pm\) awrt 2.9 or better |
| \(= 1 - 0.9981\) | M1 | For \(1 -\) tables value |
| \(= 0.0019\) | A1 | awrt 0.0019 |
| SC using \(P(X < 70.5/71.5) - P(X \leq 69.5/70.5)\) can get B1B1 M0M1A0 M0A0 |
# Question 4:
## Part (a):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Poisson | B1 | |
## Part (b):
| Answer/Working | Mark | Guidance |
|---|---|---|
| Hits occur **singly** in time | B1 | Any one of the 3 statements — no context required. Must be constant (mean) rate, not constant probability or constant mean |
| Hits are **independent** or Hits occur **randomly** | B1 | A different statement with context of **hits**. NB random and independent are the same statement. If only one mark awarded, give 1st B1. Never award B0B1 |
| Hits occur at a **constant rate** | | |
## Part (c):
| Answer/Working | Mark | Guidance |
|---|---|---|
| $X \sim Po(5)$ | B1 | Writing or using $Po(5)$ |
| $P(X=10) = P(X \leq 10) - P(X \leq 9)$ or $\frac{e^{-5}5^{10}}{10!}$ | M1 | |
| $= 0.9863 - 0.9682 = 0.0181$ | A1 | awrt 0.0181 |
## Part (d):
| Answer/Working | Mark | Guidance |
|---|---|---|
| $X \sim Po(10)$ | B1 | Writing or using $Po(10)$ |
| $P(X \geq 15) = 1 - P(X \leq 14)$ | M1 | Writing or using $1 - P(X \leq 14)$ |
| $= 1 - 0.9165 = 0.0835$ | A1 | awrt 0.0835 |
## Part (e):
| Answer/Working | Mark | Guidance |
|---|---|---|
| $X \sim Po(50)$, Approximated by $N(50, 50)$ | B1B1 | 1st B1 for normal approximation. 2nd B1 for correct mean and sd |
| $P(X > 70) = P\!\left(Z > \frac{70.5 - 50}{\sqrt{50}}\right)$ | M1M1 | 1st M1 for attempting continuity correction $(71 \pm 0.5)$. 2nd M1 for standardising using their mean and sd; allow $[69.5, 70, 70.5, 71, 71.5]$, allow $\pm z$ |
| $= P(Z > 2.899\ldots)$ | A1 | $z = \pm$ awrt 2.9 or better |
| $= 1 - 0.9981$ | M1 | For $1 -$ tables value |
| $= 0.0019$ | A1 | awrt 0.0019 |
| SC using $P(X < 70.5/71.5) - P(X \leq 69.5/70.5)$ can get B1B1 M0M1A0 M0A0 | | |
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4. A website receives hits at a rate of 300 per hour.
\begin{enumerate}[label=(\alph*)]
\item State a distribution that is suitable to model the number of hits obtained during a 1 minute interval.
\item State two reasons for your answer to part (a).
Find the probability of
\item 10 hits in a given minute,
\item at least 15 hits in 2 minutes.
The website will go down if there are more than 70 hits in 10 minutes.
\item Using a suitable approximation, find the probability that the website will go down in a particular 10 minute interval.
\end{enumerate}
\hfill \mbox{\textit{Edexcel S2 2012 Q4 [16]}}