The random variable T denotes the time, in seconds, for 100 m races run by Tania. T is normally distributed with mean µ and variance σ². A random sample of 40 races run by Tania gave the following results. n = 40 Σt = 560 Σt² = 7850
- (a)Calculate unbiased estimates of µ and σ².[3]
- (b)The random variable S denotes the time, in seconds, for 100 m races run by Suki. S has the independent distribution N(14.2, 0.3). Using your answers to part (a), find the probability that, in a randomly chosen 100 m race, Suki's time will be at least 0.1 s more than Tania's time.[5]
Mark scheme
Marking points from the official mark scheme (Oct/Nov 2021). The mark or mark type is shown in brackets.
- [B1] est µ = 560/40 = 14 accept 14
- [M1] est σ² = (1/39) * (7850 - 560²/40) or (1/39) * (7850 - 14²)
- [A1] 0.25641 or 0.256 (3sf) (Accept 10/39. Without 40/39 i.e. biased: est σ² = 0.25 M0 A0.)
- [B1 FT] E(S-T) = 14.2 – '14' [= 0.2] (FT their 14.)
- [B1 FT] Var(S-T) = 0.3 + '0.256' [= 0.55641] (FT their 0.256 including FT biased. Var(S-T) = 0.55.)
- [M1] (0.1 - '0.2') / √'0.55641' [= -0.134] (Standardising with their values (note biased gives -0.135). FT their E & Var.)
- [M1] P(S-T > 0.1) = 1 – Φ(‘−0.134') = Φ(‘0.134') (Finding correct area consistent with their values. Similar scheme for P(T-S) < –0.1. Similar scheme for S – T – 0.1 > 0. And T – S + 0.1 < 0.)
- [A1] 0.553 (3sf) (Use of biased gives 0.554 (3sf) can score the A1.)
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