OCR S4 2017 June — Question 3 10 marks

Exam BoardOCR
ModuleS4 (Statistics 4)
Year2017
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicIndependent Events
TypeIndependence with three or more events
DifficultyStandard +0.8 This S4 question requires understanding of independence conditions and careful probability calculations. Part (i) is straightforward application of independence. Part (ii) requires using the inclusion-exclusion principle with three independent events. Part (iii) is more challenging, requiring students to find bounds on P(A'∩B'∩C') by optimizing over valid probability constraints when B and C are not independent—this demands systematic reasoning about probability bounds rather than routine calculation.
Spec2.03a Mutually exclusive and independent events2.03d Calculate conditional probability: from first principles

3 For events \(A , B\) and \(C\) it is given that \(\mathrm { P } ( A ) = 0.6 , \mathrm { P } ( B ) = 0.5 , \mathrm { P } ( C ) = 0.4\) and \(\mathrm { P } ( A \cap B \cap C ) = 0.1\). It is also given that events \(A\) and \(B\) are independent and that events \(A\) and \(C\) are independent.
  1. Find \(\mathrm { P } ( B \mid A )\).
  2. Given also that events \(B\) and \(C\) are independent, find \(\mathrm { P } \left( A ^ { \prime } \cap B ^ { \prime } \cap C ^ { \prime } \right)\).
  3. Given instead that events \(B\) and \(C\) are not independent, find the greatest and least possible values of \(\mathrm { P } \left( A ^ { \prime } \cap B ^ { \prime } \cap C ^ { \prime } \right)\).

Question 3:
Part (i):
AnswerMarks Guidance
AnswerMarks Guidance
\(0.5\)B1
[1]
Part (ii):
AnswerMarks Guidance
AnswerMarks Guidance
\(0.16 + 0.2 + 0.1 + 0.14 + 0.1 + 0.1 + 0.06\)M2 M1 for at least 4 correct. \(0.6+0.5+0.4-0.3-0.24-0.2+0.1=0.86\). M2A1. M1 if incorrect coefficient of \(P(A \cap B \cap C)\) used in otherwise correct formula.
\(= 0.86\)A1
\(1 - \text{"0.86"}\)
\(0.14\)A1
[5]
Part (iii):
AnswerMarks Guidance
AnswerMarks Guidance
greatest: \(P(A' \cap B \cap C') = 0.04\), \(P(A' \cap B \cap C) = 0.16\), \(P(A' \cap B' \cap C) = 0\)M1 For any of these, e.g. \(P(B \cap C) = 0.26\). Greatest: \(1-(0.6+0.5+0.4-0.3-0.24-0.26+0.1) = 0.2\)
least: \(P(A' \cap B \cap C') = 0.2\), \(P(A' \cap B \cap C) = 0\), \(P(A' \cap B' \cap C) = 0.16\)M1 For any of these, e.g. \(P(B \cap C) = 0.1\). Least: \(1-(0.6+0.5+0.4-0.3-0.24-0.1+0.1) = 0.04\)
greatest \(1-(0.16+0.2+0.04+0.14+0.1+0.16) = 0.2\)M1A1 M1 for fully correct method for either
least \(1-(0.16+0.2+0.2+0.14+0.1+0.16) = 0.04\)A1
[5]
# Question 3:

## Part (i):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $0.5$ | B1 | |
| | **[1]** | |

## Part (ii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| $0.16 + 0.2 + 0.1 + 0.14 + 0.1 + 0.1 + 0.06$ | M2 | M1 for at least 4 correct. $0.6+0.5+0.4-0.3-0.24-0.2+0.1=0.86$. M2A1. M1 if incorrect coefficient of $P(A \cap B \cap C)$ used in otherwise correct formula. |
| $= 0.86$ | A1 | |
| $1 - \text{"0.86"}$ | | |
| $0.14$ | A1 | |
| | **[5]** | |

## Part (iii):

| Answer | Marks | Guidance |
|--------|-------|----------|
| greatest: $P(A' \cap B \cap C') = 0.04$, $P(A' \cap B \cap C) = 0.16$, $P(A' \cap B' \cap C) = 0$ | M1 | For any of these, e.g. $P(B \cap C) = 0.26$. Greatest: $1-(0.6+0.5+0.4-0.3-0.24-0.26+0.1) = 0.2$ |
| least: $P(A' \cap B \cap C') = 0.2$, $P(A' \cap B \cap C) = 0$, $P(A' \cap B' \cap C) = 0.16$ | M1 | For any of these, e.g. $P(B \cap C) = 0.1$. Least: $1-(0.6+0.5+0.4-0.3-0.24-0.1+0.1) = 0.04$ |
| greatest $1-(0.16+0.2+0.04+0.14+0.1+0.16) = 0.2$ | M1A1 | M1 for fully correct method for either |
| least $1-(0.16+0.2+0.2+0.14+0.1+0.16) = 0.04$ | A1 | |
| | **[5]** | |

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3 For events $A , B$ and $C$ it is given that $\mathrm { P } ( A ) = 0.6 , \mathrm { P } ( B ) = 0.5 , \mathrm { P } ( C ) = 0.4$ and $\mathrm { P } ( A \cap B \cap C ) = 0.1$. It is also given that events $A$ and $B$ are independent and that events $A$ and $C$ are independent.\\
(i) Find $\mathrm { P } ( B \mid A )$.\\
(ii) Given also that events $B$ and $C$ are independent, find $\mathrm { P } \left( A ^ { \prime } \cap B ^ { \prime } \cap C ^ { \prime } \right)$.\\
(iii) Given instead that events $B$ and $C$ are not independent, find the greatest and least possible values of $\mathrm { P } \left( A ^ { \prime } \cap B ^ { \prime } \cap C ^ { \prime } \right)$.

\hfill \mbox{\textit{OCR S4 2017 Q3 [10]}}