OCR MEI S1 2013 June — Question 7 18 marks

Exam BoardOCR MEI
ModuleS1 (Statistics 1)
Year2013
SessionJune
Marks18
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicTree Diagrams
TypeConditional probability tree diagram
DifficultyStandard +0.3 This is a standard conditional probability tree diagram question with straightforward probability calculations. Parts (i)-(iii) involve routine tree diagram construction and probability multiplication/addition, while part (iv) requires careful case analysis but uses familiar techniques. The conditional probability in (iii) is a textbook application of P(A|B) = P(A∩B)/P(B). Slightly above average difficulty due to the multi-part nature and the final case-work in (iv), but all techniques are standard S1 material with no novel insights required.
Spec2.03b Probability diagrams: tree, Venn, sample space2.03c Conditional probability: using diagrams/tables2.03d Calculate conditional probability: from first principles

7 Jenny has six darts. She throws darts, one at a time, aiming each at the bull's-eye. The probability that she hits the bull's-eye with her first dart is 0.1 . For any subsequent throw, the probability of hitting the bull's-eye is 0.2 if the previous dart hit the bull's-eye and 0.05 otherwise.
  1. Illustrate the possible outcomes for her first, second and third darts on a probability tree diagram.
  2. Find the probability that
    (A) she hits the bull's-eye with at least one of her first three darts,
    (B) she hits the bull's-eye with exactly one of her first three darts.
  3. Given that she hits the bull's-eye with at least one of her first three darts, find the probability that she hits the bull's-eye with exactly one of them. Jenny decides that, if she hits the bull's-eye with any of her first three darts, she will stop after throwing three darts. Otherwise she will throw all six darts.
  4. Find the probability that she hits the bull's-eye three times in total.

Part (i)
[Probability tree diagram with three stages]
AnswerMarks Guidance
First: 0.1 Hit, 0.9 MissSecond: 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss Third: 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss, 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss
Marks: G1G1 G1
Guidance:
- G1: For first set of branches. All probabilities correct
- G1: For second set of branches (indep). All probabilities correct
- G1: For third set of branches (indep). All probabilities correct
- G1: For labels. All correct labels for 'Hit' and 'Miss', 'H' and 'M' etc. Condone omission of First, Second, Third
- Do not allow misreads here as all FT
Part (ii)
Answer (Method A):
\[P(\text{Hits with at least one}) = 1 - P(\text{misses with all})\]
\[= 1 - (0.9 \times 0.95 \times 0.95) = 1 - 0.81225 = 0.18775\]
ALTERNATIVE METHOD only if there is an attempt to add 7 probabilities
At least three correct triple products
Attempt to add 7 triple products
FURTHER ALTERNATIVE METHOD:
\[0.1 + 0.9 \times 0.05\]
Above probability + \(0.9 \times 0.95 \times 0.05\)
AnswerMarks Guidance
Marks: M1*M1* dep A1
Guidance:
- M1*: For 0.9 × 0.95 × 0.95
- M1* dep: For 1 – ans
- A1: CAO. 0.188 or better. Condone 0.1877. Allow 751/4000
- M1: (not necessarily correct triple products)
- M1: (not necessarily correct triple products)
- A1: CAO
- M1:
- M1:
- A1: CAO
Part (ii)
Answer (Method B):
\[P(\text{Hits with exactly one}) = (0.1 \times 0.8 \times 0.95) + (0.9 \times 0.05 \times 0.8) + (0.9 \times 0.95 \times 0.05)\]
\[= 0.076 + 0.036 + 0.04275 = \frac{19}{250} + \frac{9}{250} + \frac{171}{4000}\]
\[= \frac{619}{4000} = 0.15475\]
AnswerMarks Guidance
Marks: M1M1 M1
Guidance:
- M1: For two correct products
- M1: For all three correct products
- M1: For sum of all three correct products
- A1: CAO. Allow 0.155 or better
Part (iii)
Answer:
\[P(\text{Hits with exactly one given hits with at least one}) = \frac{P(\text{Hits with exactly one and hits with at least one})}{P(\text{Hits with at least one})}\]
\[= \frac{0.15475}{0.18775} = 0.8242\]
AnswerMarks Guidance
Marks: M1M1 A1
Guidance:
- M1: For numerator FT
- M1: For denominator FT
- A1: CAO. Allow 0.824 or better or 619/751
- If answer to (B) > than answer to (A) then max M1M0A0
Part (iv)
Answer:
\[P(\text{Hits three times overall}) = (0.1 \times 0.2 \times 0.2) + (0.9 \times 0.95 \times 0.05 \times 0.2 \times 0.2)\]
\[= 0.004 + 0.0016245\]
\[= 0.0056245\]
AnswerMarks Guidance
Marks: M1M1 M1* Dep on both prev M1's
Guidance:
- M1: For 0.1 × 0.2 × 0.2 or 0.004 or 1/250
- M1: For 0.9 × 0.95 × 0.05 × 0.2 × 0.2
- M1* Dep on both prev M1's: For sum of both. With no extras
- A1: CAO. Allow 0.00562 or 0.00563 or 0.0056
- FT their tree for all three M marks, provided three terms in first product and six in second product. Last three probs must be 0.05 × 0.2 × 0.2 unless they extend their tree
Question 6 (repeat):
Part (iii)
Answer:
Lower limit: \(2.83 - (1.5 \times 0.88) = 1.51\)
Upper limit: \(3.71 + (1.5 \times 0.88) = 5.03\)
Exactly one baby weighs less than 1.51 kg and none weigh over 5.03 kg so there is exactly one outlier.
AnswerMarks Guidance
Marks: B1B1 E1*
Guidance:
- B1: For 1.51 FT
- B1: For 5.03 FT
- E1*: Dep on their 1.51 and 5.03. For use of median ± 1.5 × IQR scores B0 B0 E0. No marks for ± 2 or 3 × IQR. In this part FT their values from (i)or (ii) if sensibly obtained but not from location ie 6.5, 19.5. Do not penalise over-specification as not the final answer. Do not allow unless FT leads to upper limit above 4.34 and lower limit between 1.39 and 2.50
## Part (i)
[Probability tree diagram with three stages]

| | | 
|---|---|
|First: 0.1 Hit, 0.9 Miss|Second: 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss|Third: 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss, 0.2 Hit/0.8 Miss, 0.05 Hit/0.95 Miss|

**Marks:** G1 | G1 | G1 | G1 | [4]

**Guidance:**
- G1: For first set of branches. All probabilities correct
- G1: For second set of branches (indep). All probabilities correct
- G1: For third set of branches (indep). All probabilities correct
- G1: For labels. All correct labels for 'Hit' and 'Miss', 'H' and 'M' etc. Condone omission of First, Second, Third
- Do not allow misreads here as all FT

## Part (ii)

**Answer (Method A):**

$$P(\text{Hits with at least one}) = 1 - P(\text{misses with all})$$
$$= 1 - (0.9 \times 0.95 \times 0.95) = 1 - 0.81225 = 0.18775$$

**ALTERNATIVE METHOD** only if there is an attempt to add 7 probabilities
At least three correct triple products
Attempt to add 7 triple products

**FURTHER ALTERNATIVE METHOD:**
$$0.1 + 0.9 \times 0.05$$
Above probability + $0.9 \times 0.95 \times 0.05$

**Marks:** M1* | M1* dep | A1 | M1 | M1 | A1 | M1 | M1 | A1 | [3]

**Guidance:**
- M1*: For 0.9 × 0.95 × 0.95
- M1* dep: For 1 – ans
- A1: CAO. 0.188 or better. Condone 0.1877. Allow 751/4000
- M1: (not necessarily correct triple products)
- M1: (not necessarily correct triple products)
- A1: CAO
- M1: 
- M1:
- A1: CAO

## Part (ii)

**Answer (Method B):**

$$P(\text{Hits with exactly one}) = (0.1 \times 0.8 \times 0.95) + (0.9 \times 0.05 \times 0.8) + (0.9 \times 0.95 \times 0.05)$$

$$= 0.076 + 0.036 + 0.04275 = \frac{19}{250} + \frac{9}{250} + \frac{171}{4000}$$

$$= \frac{619}{4000} = 0.15475$$

**Marks:** M1 | M1 | M1 | A1 | [4]

**Guidance:**
- M1: For two correct products
- M1: For all three correct products
- M1: For sum of all three correct products
- A1: CAO. Allow 0.155 or better

## Part (iii)
**Answer:**
$$P(\text{Hits with exactly one given hits with at least one}) = \frac{P(\text{Hits with exactly one and hits with at least one})}{P(\text{Hits with at least one})}$$

$$= \frac{0.15475}{0.18775} = 0.8242$$

**Marks:** M1 | M1 | A1 | [3]

**Guidance:**
- M1: For numerator FT
- M1: For denominator FT
- A1: CAO. Allow 0.824 or better or 619/751
- If answer to (B) > than answer to (A) then max M1M0A0

## Part (iv)
**Answer:**
$$P(\text{Hits three times overall}) = (0.1 \times 0.2 \times 0.2) + (0.9 \times 0.95 \times 0.05 \times 0.2 \times 0.2)$$

$$= 0.004 + 0.0016245$$

$$= 0.0056245$$

**Marks:** M1 | M1 | M1* Dep on both prev M1's | A1 | [4]

**Guidance:**
- M1: For 0.1 × 0.2 × 0.2 or 0.004 or 1/250
- M1: For 0.9 × 0.95 × 0.05 × 0.2 × 0.2
- M1* Dep on both prev M1's: For sum of both. With no extras
- A1: CAO. Allow 0.00562 or 0.00563 or 0.0056
- FT their tree for all three M marks, provided three terms in first product and six in second product. Last three probs must be 0.05 × 0.2 × 0.2 unless they extend their tree

---

# Question 6 (repeat):

## Part (iii)
**Answer:**
Lower limit: $2.83 - (1.5 \times 0.88) = 1.51$

Upper limit: $3.71 + (1.5 \times 0.88) = 5.03$

Exactly one baby weighs less than 1.51 kg and none weigh over 5.03 kg so there is exactly one outlier.

**Marks:** B1 | B1 | E1* | [3] (Note: Different total from earlier listing)

**Guidance:** 
- B1: For 1.51 FT
- B1: For 5.03 FT
- E1*: Dep on their 1.51 and 5.03. For use of median ± 1.5 × IQR scores B0 B0 E0. No marks for ± 2 or 3 × IQR. In this part FT their values from (i)or (ii) if sensibly obtained but not from location ie 6.5, 19.5. Do not penalise over-specification as not the final answer. Do not allow unless FT leads to upper limit above 4.34 and lower limit between 1.39 and 2.50
7 Jenny has six darts. She throws darts, one at a time, aiming each at the bull's-eye. The probability that she hits the bull's-eye with her first dart is 0.1 . For any subsequent throw, the probability of hitting the bull's-eye is 0.2 if the previous dart hit the bull's-eye and 0.05 otherwise.
\begin{enumerate}[label=(\roman*)]
\item Illustrate the possible outcomes for her first, second and third darts on a probability tree diagram.
\item Find the probability that\\
(A) she hits the bull's-eye with at least one of her first three darts,\\
(B) she hits the bull's-eye with exactly one of her first three darts.
\item Given that she hits the bull's-eye with at least one of her first three darts, find the probability that she hits the bull's-eye with exactly one of them.

Jenny decides that, if she hits the bull's-eye with any of her first three darts, she will stop after throwing three darts. Otherwise she will throw all six darts.
\item Find the probability that she hits the bull's-eye three times in total.
\end{enumerate}

\hfill \mbox{\textit{OCR MEI S1 2013 Q7 [18]}}