CAIE S2 2009 November — Question 5 9 marks

Exam BoardCAIE
ModuleS2 (Statistics 2)
Year2009
SessionNovember
Marks9
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicContinuous Probability Distributions and Random Variables
TypeSingle-piece PDF with k
DifficultyStandard +0.3 This is a straightforward multi-part PDF question requiring standard techniques: (i) integration to find k, (ii) probability calculation via integration, (iii) solving for a quartile, and (iv) binomial probability. All parts follow routine procedures with no novel insight required. The integration of cos x is elementary, making this slightly easier than average for A-level statistics.
Spec2.04b Binomial distribution: as model B(n,p)2.04c Calculate binomial probabilities5.03a Continuous random variables: pdf and cdf5.03b Solve problems: using pdf5.03e Find cdf: by integration5.03f Relate pdf-cdf: medians and percentiles

5 The continuous random variable \(X\) has probability density function given by $$f ( x ) = \begin{cases} k \cos x & 0 \leqslant x \leqslant \frac { 1 } { 4 } \pi \\ 0 & \text { otherwise } \end{cases}$$ where \(k\) is a constant.
  1. Show that \(k = \sqrt { } 2\).
  2. Find \(\mathrm { P } ( X > 0.4 )\).
  3. Find the upper quartile of \(X\).
  4. Find the probability that exactly 3 out of 5 random observations of \(X\) have values greater than the upper quartile.

AnswerMarks Guidance
(i) \(\int_0^{\pi/4} k\cos x \, dx = 1\)M1 Equating to 1 and attempt to integrate with limits
\([k\sin x]_0^{\pi/4} = 1\)
\(k\sin(\pi/4) = 1 \Rightarrow k/\sqrt{2} = 1\)
\(k = \sqrt{2}\) AGA1 [2] Correct answer legit obtained (no decimals seen)
(ii) \(\int_{0.4}^{\pi/4} k\cos x \, dx = [k\sin x]_{0.4}^{\pi/4}\)M1 Attempt to integrate from 0.4 to \(\pi/4\) o.e.
\(= 1 - k\sin(0.4) = 0.449\)A1 [2] Correct answer
(iii) \(\int_0^{Q3} k\cos x \, dx = 0.75\)M1 Equation with integral on one side and 0.75 on the other o.e.
\([k\sin x]_0^{Q3} = 0.75\)M1 Attempt to solve their integral for Q3
\(k\sin Q3 - 0 = 0.75\)
\(Q3 = 0.559\)A1 [3] Correct answer
(iv) \(^5C_3 \times (0.25)^3 \times (0.75)^2\)M1 Binomial expression involving \(^5C_3\), 0.25 and 0.75
\(= 0.0879 (45/512)\)A1 [2] Correct answer
**(i)** $\int_0^{\pi/4} k\cos x \, dx = 1$ | M1 | Equating to 1 and attempt to integrate with limits
$[k\sin x]_0^{\pi/4} = 1$ | 
$k\sin(\pi/4) = 1 \Rightarrow k/\sqrt{2} = 1$ | 
$k = \sqrt{2}$ AG | A1 [2] | Correct answer legit obtained (no decimals seen)

**(ii)** $\int_{0.4}^{\pi/4} k\cos x \, dx = [k\sin x]_{0.4}^{\pi/4}$ | M1 | Attempt to integrate from 0.4 to $\pi/4$ o.e.
$= 1 - k\sin(0.4) = 0.449$ | A1 [2] | Correct answer

**(iii)** $\int_0^{Q3} k\cos x \, dx = 0.75$ | M1 | Equation with integral on one side and 0.75 on the other o.e.
$[k\sin x]_0^{Q3} = 0.75$ | M1 | Attempt to solve their integral for Q3
$k\sin Q3 - 0 = 0.75$ | 
$Q3 = 0.559$ | A1 [3] | Correct answer

**(iv)** $^5C_3 \times (0.25)^3 \times (0.75)^2$ | M1 | Binomial expression involving $^5C_3$, 0.25 and 0.75
$= 0.0879 (45/512)$ | A1 [2] | Correct answer
5 The continuous random variable $X$ has probability density function given by

$$f ( x ) = \begin{cases} k \cos x & 0 \leqslant x \leqslant \frac { 1 } { 4 } \pi \\ 0 & \text { otherwise } \end{cases}$$

where $k$ is a constant.\\
(i) Show that $k = \sqrt { } 2$.\\
(ii) Find $\mathrm { P } ( X > 0.4 )$.\\
(iii) Find the upper quartile of $X$.\\
(iv) Find the probability that exactly 3 out of 5 random observations of $X$ have values greater than the upper quartile.

\hfill \mbox{\textit{CAIE S2 2009 Q5 [9]}}