Date | May 2016 | Marks available | 2 | Reference code | 16M.2.hl.TZ2.10 |
Level | HL only | Paper | 2 | Time zone | TZ2 |
Command term | Find | Question number | 10 | Adapted from | N/A |
Question
A continuous random variable T has probability density function f defined by
f(t)={t|sin2t|π,0⩽
Sketch the graph of y = f(t).
Use your sketch to find the mode of T.
Find the mean of T.
Find the variance of T.
Find the probability that T lies between the mean and the mode.
(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}.
Markscheme
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]
{\text{mode}} = 2.46 A1
[1 mark]
{\text{E}}(T) = \frac{1}{\pi }\int_0^\pi {{t^2}\left| {\sin 2t} \right|{\text{d}}t} (M1)
= 2.04 A1
[2 marks]
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]
\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]
(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]
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.
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.
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.
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.
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.
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.