Loading [MathJax]/jax/output/CommonHTML/fonts/TeX/fontdata.js

User interface language: English | Español

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).

[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.
Show 35 related questions

View options