Probability & Statistics 2 — Variant 2

A Level Mathematics · 9709/62 · Feb/March 2024

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Questions

7 of 7 questions shown here, checked against the paper.

1
The lengths, XX cm, of a sample of 100 insects of a certain type were summarised as follows. n=100n = 100 ∑x=36.8\sum x = 36.8 ∑x2=17.34\sum x^{2} = 17.34
1(a) [3]
Calculate unbiased estimates for the population mean and variance of XX.
1(b) [1]
State a necessary condition for the estimates found in part (a) to be reliable.
2
A random sample of 250 people living in Barapet was chosen. It was found that 78 of these people owned a BETEC phone.
2(a) [3]
Calculate an approximate 98% confidence interval for the proportion of people living in Barapet who own a BETEC phone.
2(b) [1]
Manjit claims that more than 40% of the people living in Barapet own a BETEC phone. Use your answer to part (a) to comment on this claim.
3
In a certain lottery, on average 1 in every 10 000 tickets is a prize-winning ticket. An agent sells 6000 tickets.
3(a) [3]
Use a suitable approximating distribution to find the probability that at least 3 of the tickets sold by the agent are prize-winning tickets.
3(b) [1]
Justify the use of your approximating distribution in this context.
4
Each year a transport firm uses XX litres of gasoline and YY litres of diesel fuel, where XX and YY have the independent distributions X∼N(10700,9502)X \sim \mathrm{N}(10700, 950^{2}) and Y∼N(13400,12102)Y \sim \mathrm{N}(13400, 1210^{2}).
4(a) [5]
Find the probability that in a randomly chosen year the firm uses more gasoline than diesel fuel. The costs per litre of gasoline and diesel fuel are $0.80\$0.80 and $0.85\$0.85 respectively.
4(b) [5]
Find the probability that the total cost of gasoline and diesel fuel in a randomly chosen year is between $20000\$20000 and $22000\$22000.
5
A teacher models the numbers of girls and boys who arrive late for her class on any day by the independent random variables G∼Po(0.10)G \sim \mathrm{Po}(0.10) and B∼Po(0.15)B \sim \mathrm{Po}(0.15) respectively.
5(a) [1]
Find the probability that during a randomly chosen 2-day period no girls arrive late.
5(b) [3]
Find the probability that during a randomly chosen 5-day period the total number of students who arrive late is less than 3.
5(c) [3]
It is given that the values of P(G=r)\mathrm{P}(G = r) and P(B=r)\mathrm{P}(B = r) for r⩾3r \geqslant 3 are very small and can be ignored. Find the probability that on a randomly chosen day more girls arrive late than boys. Following a timetable change the teacher claims that on average more students arrive late than before the change. During a randomly chosen 5-day period a total of 4 students are late.
5(d) [5]
Test the teacher's claim at the 5% significance level.
6
The graph of the probability density function f of a random variable XX is symmetrical about the line x=2x = 2. It is given that P(2<X<5)=117256\mathrm{P}(2 < X < 5) = \frac{117}{256}.
6(a) [2]
Using only this information show that P(X>−1)=245256\mathrm{P}(X > -1) = \frac{245}{256}. It is now given that, for xx in a suitable domain, f(x)=k(12+4x−x2)f(x) = k(12 + 4x - x^{2}), where kk is a constant.
6(b) [3]
Find the value of kk.
6(c) [5]
A different random variable XX has probability density function g(x)=29(2+x−x2)g(x) = \frac{2}{9}(2 + x - x^{2}). The domain of XX is all values of xx for which g(x)⩾0g(x) \geqslant 0. Find Var(X)\mathrm{Var}(X).
7
The heights, in centimetres, of adult females in Litania have mean μ\mu and standard deviation σ\sigma. It is known that in 2004 the values of μ\mu and σ\sigma were 163.21 and 6.95 respectively. The government claims that the value of μ\mu this year is greater than it was in 2004. In order to test this claim a researcher plans to carry out a hypothesis test at the 1% significance level. He records the heights of a random sample of 300 adult females in Litania this year and finds the value of the sample mean.
7(a) [1]
State the probability of a Type I error. You should assume that the value of σ\sigma after 2004 remains at 6.95.
7(b) [5]
Given that the value of μ\mu this year is actually 164.91, find the probability of a Type II error.

Published by Cambridge Assessment International Education. Reproduced for study use.