Date | November 2016 | Marks available | 1 | Reference code | 16N.3sp.hl.TZ0.4 |
Level | HL only | Paper | Paper 3 Statistics and probability | Time zone | TZ0 |
Command term | Write down | Question number | 4 | Adapted from | N/A |
Question
Two independent discrete random variables X and Y have probability generating functions G(t) and H(t) respectively. Let Z=X+Y have probability generating function J(t).
Write down an expression for J(t) in terms of G(t) and H(t).
By differentiating J(t), prove that
(i) E(Z)=E(X)+E(Y);
(ii) Var(Z)=Var(X)+Var(Y).
Markscheme
J(t)=G(t)H(t) A1
[1 mark]
(i) J′(t)=G′(t)H(t)+G(t)H′(t) M1A1
J′(1)=G′(1)H(1)+G(1)H′(1) M1
J′(1)=G′(1)+H′(1) A1
so E(Z)=E(X)+E(Y) AG
(ii) J″(t)=G″(t)H(t)+G′(t)H′(t)+G′(t)H′(t)+G(t)H″(t) M1A1
J″(1)=G″(1)H(1)+2G′(1)H′(1)+G(1)H″(1)
=G″(1)+2G′(1)H′(1)+H″(1) A1
Var(Z)=J″(1)+J′(1)−(J′(1))2 M1
=G″(1)+2G′(1)H′(1)+H″(1)+G′(1)+H′(1)−(G′(1)+H′(1))2 A1
=G″(1)+G′(1)−(G′(1))2+H″(1)+H′(1)−(H′(1))2 A1
so Var(Z)=Var(X)+Var(Y) AG
Note: If addition is wrongly used instead of multiplication in (a) it is inappropriate to give FT apart from the second M marks in each part, as the working is too simple.
[10 marks]