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Date May 2016 Marks available 5 Reference code 16M.2.hl.TZ2.10
Level HL only Paper 2 Time zone TZ2
Command term Find and Hence Question number 10 Adapted from N/A

Question

A continuous random variable \(T\) has probability density function \(f\) defined by

\[f(t) = \left\{ {\begin{array}{*{20}{c}} {\frac{{t\left| {\sin 2t} \right|}}{\pi },}&{0 \leqslant t \leqslant \pi } \\ {0,}&{{\text{otherwise}}} \end{array}} \right.\]

Sketch the graph of \(y = f(t)\).

[2]
a.

Use your sketch to find the mode of \(T\).

[1]
b.

Find the mean of \(T\).

[2]
c.

Find the variance of \(T\).

[3]
d.

Find the probability that \(T\) lies between the mean and the mode.

[2]
e.

(i)     Find \(\int_0^\pi  {f(t){\text{d}}t} \) where \(0 \leqslant T \leqslant \frac{\pi }{2}\).

(ii)     Hence verify that the lower quartile of \(T\) is \(\frac{\pi }{2}\).

[5]
f.

Markscheme

M16/5/MATHL/HP2/ENG/TZ2/10.a/M

two enclosed regions (\(0 \leqslant t \leqslant \frac{\pi }{2}\) and \(\frac{\pi }{2} \leqslant t \leqslant \pi \)) bounded by the curve and the \(t\)-axis     A1

correct non-symmetrical shape for \(0 \leqslant t \leqslant \frac{\pi }{2}\) and

\(\frac{\pi }{2} < {\text{mode of }}T < \pi {\text{ clearly apparent}}\)    A1

[2 marks]

a.

\({\text{mode}} = 2.46\)    A1

[1 mark]

b.

\({\text{E}}(T) = \frac{1}{\pi }\int_0^\pi  {{t^2}\left| {\sin 2t} \right|{\text{d}}t} \)    (M1)

\( = 2.04\)    A1

[2 marks]

c.

EITHER

\({\text{Var}}(T) = \int_0^\pi  {(t - } 2.03788 \ldots {)^2}\left( {\frac{{t\left| {\sin 2t} \right|}}{\pi }} \right){\text{d}}t\)     (M1)(A1)

OR

\({\text{Var}}(T) = \int_0^\pi  {{t^2}} \left( {\frac{{t\left| {\sin 2t} \right|}}{\pi }} \right){\text{d}}t - {(2.03788 \ldots )^2}\)     

(M1)(A1)

THEN

\({\text{Var}}(T) = 0.516\)    A1

[3 marks]

d.

\(\frac{1}{\pi }\int_{{\text{2.03788}} \ldots }^{{\text{2.456590}} \ldots } {t\left| {\sin 2t} \right|{\text{d}}t = {\text{0.285}}} \)    (M1)A1

[2 marks]

e.

(i)     attempting integration by parts     (M1)

\((u = t,{\text{ d}}u = {\text{d}}t,{\text{ d}}v = \sin 2t{\text{ d}}t\) and \(v =  - \frac{1}{2}\cos 2t)\)

\(\frac{1}{\pi }\left[ {t\left( { - \frac{1}{2}\cos 2t} \right)} \right]_0^r - \frac{1}{\pi }\int_0^r {\left( { - \frac{1}{2}\cos 2t} \right){\text{d}}t} \)    A1

Note:     Award A1 if the limits are not included.

\( = \frac{{\sin 2T}}{{4\pi }} - \frac{{T\cos 2T}}{{2\pi }}\)    A1

(ii)     \(\frac{{\sin \pi }}{{4\pi }} - \frac{{\frac{\pi }{2}\cos \pi }}{{2\pi }} = \frac{1}{4}\)     A1

as \({\text{P}}\left( {0 \leqslant T \leqslant \frac{\pi }{2}} \right) = \frac{1}{4}\) (or equivalent), then the lower quartile of \(T\) is \(\frac{\pi }{2}\)     R1AG

[5 marks]

f.

Examiners report

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

a.

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

b.

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

c.

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

d.

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

e.

This question was generally accessible to the large majority of candidates. A substantial number of candidates were able to neatly and accurately sketch a non-symmetric bimodal continuous probability density function and to calculate its mean, mode and variance. Quite a few candidates unfortunately attempted this question with their GDC set in degrees.

f.

Syllabus sections

Topic 5 - Core: Statistics and probability » 5.5 » Concept of discrete and continuous random variables and their probability distributions.
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