All mind maps topics

4.14 Linear combinations of random variables and unbiased estimatesIB Maths: Applications and Interpretation HL: Mind map

What this mind map covers

  • Transformation
  • Expected value
  • Variance
  • 2X vs X1+X2
  • Unbiased mean
  • Unbiased variance

Exam questions on 4.14 Linear combinations of random variables and unbiased estimates

  1. On Saturdays the number of customers at a café is the random variable XX with mean 120120 and variance 6464. On Sundays the number of customers is the random variable YY with mean 9090 and variance 3636. XX and YY are independent. On a Saturday the café's income is I=15X+200I=15X+200 AED.
    Find the expected income on a Saturday.2 marks
  2. The masses, in grams, of a random sample of six eggs from a farm are 58,61,63,60,57,6558, 61, 63, 60, 57, 65. Use your GDC where needed.
    The variance of the six masses, dividing by 66, is sn2=7.56s_n^2=7.56. Show how this gives the unbiased estimate 9.079.07 from part (b), and explain why this estimate is used rather than 7.567.56.2 marks
  3. A bakery sells a loaf with mass LL grams, where E(L)=800E(L)=800 and Var(L)=25Var(L)=25, and rolls whose individual masses RR grams have E(R)=60E(R)=60 and Var(R)=4Var(R)=4. The mass of the loaf and the masses of different rolls are all independent.
    A bag contains one loaf and five rolls, with total mass W=L+R1+R2+R3+R4+R5W=L+R_1+R_2+R_3+R_4+R_5. Find E(W)E(W) and Var(W)Var(W).3 marks
See the full worksheet

Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).