| Exam Board | Edexcel |
|---|---|
| Module | S1 (Statistics 1) |
| Year | 2016 |
| Session | June |
| Marks | 13 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Independent Events |
| Type | Venn diagram with independence constraint |
| Difficulty | Standard +0.3 This is a standard S1 Venn diagram question with independence. Part (a) is direct reading, (b-c) uses independence definition P(B∩D)=P(B)P(D) requiring simple algebra, (d) applies conditional probability formula, and (e) uses expected value. All techniques are routine for S1 with no novel insight required, making it slightly easier than average A-level. |
| Spec | 2.03a Mutually exclusive and independent events2.03b Probability diagrams: tree, Venn, sample space2.03d Calculate conditional probability: from first principles2.05a Hypothesis testing language: null, alternative, p-value, significance |
| Answer | Marks |
|---|---|
| \(\text{P}(B \cap R') = \mathbf{0}\) | B1 |
| Answer | Marks | Guidance |
|---|---|---|
| \(\text{P}(B) = 0.27 + 0.33 = 0.6\), \(\text{P}(D) = 0.27 + 0.15 + t\), \(\text{P}(B \cap D) = 0.27\) | M1 | Attempting 3 suitable probabilities, one involving \(t\) (at least 2 correct) |
| \([\text{P}(B) \times \text{P}(D) = \text{P}(B \cap D)]\): \(0.6 \times (0.42 + t) = 0.27\) | M1 | Using independence to form linear equation in \(t\) |
| \(0.42 + t = \frac{0.27}{0.6}\) or \(0.6t = 0.018\) | A1 | Solving to correct equation |
| \(t = \mathbf{0.03}\) | A1 | For 0.03 or exact equivalent |
| Answer | Marks | Guidance |
|---|---|---|
| \(u = 1 - (0.6 + 0.15 + t)\) | M1 | Correct expression for \(u\) |
| \(u = \mathbf{0.22}\) | A1ft | For 0.22 or ft their \(t\); i.e. \(u = 0.25 - t\) provided \(u\) and \(t\) are probabilities |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{\text{P}(D \cap R \cap B)}{\text{P}(R \cap B)} = \frac{0.27}{0.27 + 0.33}\) or \(\text{P}(D | R \cap B) = \text{P}(D | B) = \text{P}(D)\) |
| \(= \mathbf{0.45}\) | A1 | For 0.45 or exact equivalent |
| Answer | Marks | Guidance |
|---|---|---|
| \(\frac{\text{P}(D \cap [R \cap B'])}{\text{P}(R \cap B')} = \frac{0.15}{0.15 + u}\) | M1 | Correct numerical ratio of probabilities, ft their \(u\) provided \(u\) is a probability |
| \(= \frac{15}{37}\) | A1 | For \(\frac{15}{37}\) or \(0.40\overline{5}\) or awrt 0.41 |
| Answer | Marks | Guidance |
|---|---|---|
| \(40 \times \text{"0.45"}\) and \(37 \times \text{"}\frac{15}{37}\text{"}\) | M1 | Correct method for both, using their 0.45 and \(\frac{15}{37}\) provided both in \([0,1]\); NB \(\text{P}(D) \times 77\) is M0 |
| \(= \mathbf{33}\) | A1 | For 33 only |
# Question 4:
## Part (a)
| $\text{P}(B \cap R') = \mathbf{0}$ | B1 | |
## Part (b)
| $\text{P}(B) = 0.27 + 0.33 = 0.6$, $\text{P}(D) = 0.27 + 0.15 + t$, $\text{P}(B \cap D) = 0.27$ | M1 | Attempting 3 suitable probabilities, one involving $t$ (at least 2 correct) |
| $[\text{P}(B) \times \text{P}(D) = \text{P}(B \cap D)]$: $0.6 \times (0.42 + t) = 0.27$ | M1 | Using independence to form linear equation in $t$ |
| $0.42 + t = \frac{0.27}{0.6}$ or $0.6t = 0.018$ | A1 | Solving to correct equation |
| $t = \mathbf{0.03}$ | A1 | For 0.03 or exact equivalent |
## Part (c)
| $u = 1 - (0.6 + 0.15 + t)$ | M1 | Correct expression for $u$ |
| $u = \mathbf{0.22}$ | A1ft | For 0.22 or ft their $t$; i.e. $u = 0.25 - t$ provided $u$ and $t$ are probabilities |
## Part (d)(i)
| $\frac{\text{P}(D \cap R \cap B)}{\text{P}(R \cap B)} = \frac{0.27}{0.27 + 0.33}$ or $\text{P}(D|R \cap B) = \text{P}(D|B) = \text{P}(D)$ | M1 | Correct numerical ratio of probabilities |
| $= \mathbf{0.45}$ | A1 | For 0.45 or exact equivalent |
## Part (d)(ii)
| $\frac{\text{P}(D \cap [R \cap B'])}{\text{P}(R \cap B')} = \frac{0.15}{0.15 + u}$ | M1 | Correct numerical ratio of probabilities, ft their $u$ provided $u$ is a probability |
| $= \frac{15}{37}$ | A1 | For $\frac{15}{37}$ or $0.40\overline{5}$ or awrt 0.41 |
## Part (e)
| $40 \times \text{"0.45"}$ and $37 \times \text{"}\frac{15}{37}\text{"}$ | M1 | Correct method for both, using their 0.45 and $\frac{15}{37}$ provided both in $[0,1]$; NB $\text{P}(D) \times 77$ is M0 |
| $= \mathbf{33}$ | A1 | For 33 only |
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4. The Venn diagram shows the probabilities of customer bookings at Harry's hotel.\\
$R$ is the event that a customer books a room\\
$B$ is the event that a customer books breakfast\\
$D$ is the event that a customer books dinner\\
$u$ and $t$ are probabilities.\\
\includegraphics[max width=\textwidth, alt={}, center]{e3b92a5b-c0ad-4176-9b05-cb07a44aa265-08_604_1047_696_450}
\begin{enumerate}[label=(\alph*)]
\item Write down the probability that a customer books breakfast but does not book a room.
Given that the events $B$ and $D$ are independent
\item find the value of $t$
\item hence find the value of $u$
\item Find
\begin{enumerate}[label=(\roman*)]
\item $\quad$ P( $D \mid R \cap B$ )
\item $\mathrm { P } \left( D \mid R \cap B ^ { \prime } \right)$
A coach load of 77 customers arrive at Harry's hotel.
Of these 77 customers
40 have booked a room and breakfast 37 have booked a room without breakfast
\end{enumerate}\item Estimate how many of these 77 customers will book dinner.
\end{enumerate}
\hfill \mbox{\textit{Edexcel S1 2016 Q4 [13]}}