CAIE S1 2011 June — Question 7 10 marks

Exam BoardCAIE
ModuleS1 (Statistics 1)
Year2011
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicBinomial Distribution
TypeAt least one success
DifficultyModerate -0.3 Part (a) is a standard binomial 'at least one' question using the complement rule (1-P(none)), with part (ii) requiring simple trial-and-error to find n. Part (b) involves conditional probability without replacement but follows a straightforward pattern of alternating draws. All techniques are routine for S1 level with no novel insight required, making it slightly easier than average.
Spec2.03a Mutually exclusive and independent events2.03b Probability diagrams: tree, Venn, sample space2.03c Conditional probability: using diagrams/tables

7
    1. Find the probability of getting at least one 3 when 9 fair dice are thrown.
    2. When \(n\) fair dice are thrown, the probability of getting at least one 3 is greater than 0.9. Find the smallest possible value of \(n\).
  1. A bag contains 5 green balls and 3 yellow balls. Ronnie and Julie play a game in which they take turns to draw a ball from the bag at random without replacement. The winner of the game is the first person to draw a yellow ball. Julie draws the first ball. Find the probability that Ronnie wins the game.

AnswerMarks Guidance
(a) (i) \(P(\text{at least one 3}) = 1 - P(\text{no 3s}) = 1 - (5/6)^6 = 0.806\)M1 Using \(1 - \text{none}\)
A1 [2]Correct answer
(ii) \(P(\text{at least 1 three}) = 1 - (5/6)^n\)
\(1 - (5/6)^n > 0.9\)
AnswerMarks Guidance
\(n > 12.6\)B1
M1Equation or inequality involving \(n\) and 0.9
M1Solving attempt of sensible equation, can be trial
\(n = 13\)A1 [4] Correct answer
(b) \(P(R \text{ wins his 1}^{\text{st}} \text{ ball}) = P(GY) = 15/56 (0.268)\)M1 Using \(P(GY)\)
\(P(R \text{ wins 2}^{\text{nd}} \text{ ball}) = P(GGGY) = 3/28\)M1 Attempt to find \(P(GGGY)\) or \(P(GGGGY)\)
\(P(R \text{ wins 3rd ball}) = P(GGGGGY)\)M1 Adding three options
\(\frac{5}{8} \times \frac{4}{7} \times \frac{3}{6} \times \frac{2}{5} \times \frac{1}{4} \times \frac{3}{3} = 1/56\)
\(P(R \text{ wins}) = 11/28 (0.393)\)A1 [4] Correct answer
**(a)** **(i)** $P(\text{at least one 3}) = 1 - P(\text{no 3s}) = 1 - (5/6)^6 = 0.806$ | M1 | Using $1 - \text{none}$
| A1 [2] | Correct answer

**(ii)** $P(\text{at least 1 three}) = 1 - (5/6)^n$
$1 - (5/6)^n > 0.9$
$n > 12.6$ | B1 |
| M1 | Equation or inequality involving $n$ and 0.9
| M1 | Solving attempt of sensible equation, can be trial
$n = 13$ | A1 [4] | Correct answer

**(b)** $P(R \text{ wins his 1}^{\text{st}} \text{ ball}) = P(GY) = 15/56 (0.268)$ | M1 | Using $P(GY)$
$P(R \text{ wins 2}^{\text{nd}} \text{ ball}) = P(GGGY) = 3/28$ | M1 | Attempt to find $P(GGGY)$ or $P(GGGGY)$
$P(R \text{ wins 3rd ball}) = P(GGGGGY)$ | M1 | Adding three options
$\frac{5}{8} \times \frac{4}{7} \times \frac{3}{6} \times \frac{2}{5} \times \frac{1}{4} \times \frac{3}{3} = 1/56$ | |
$P(R \text{ wins}) = 11/28 (0.393)$ | A1 [4] | Correct answer
7
\begin{enumerate}[label=(\alph*)]
\item \begin{enumerate}[label=(\roman*)]
\item Find the probability of getting at least one 3 when 9 fair dice are thrown.
\item When $n$ fair dice are thrown, the probability of getting at least one 3 is greater than 0.9. Find the smallest possible value of $n$.
\end{enumerate}\item A bag contains 5 green balls and 3 yellow balls. Ronnie and Julie play a game in which they take turns to draw a ball from the bag at random without replacement. The winner of the game is the first person to draw a yellow ball. Julie draws the first ball. Find the probability that Ronnie wins the game.
\end{enumerate}

\hfill \mbox{\textit{CAIE S1 2011 Q7 [10]}}