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Further Statistics 2: Confidence intervals and the t-distributionAQA A-Level Further Maths: Topic test

20 questions, 54 marks

AQA A-Level Further Maths

Further Statistics 2: Confidence intervals and the t-distribution topic test

Total 54 marks

Name

Class

Date

  1. 1
    The lengths of steel rods made by a machine are normally distributed with standard deviation 0.80.8 mm. A random sample of 4040 rods has mean length 150.3150.3 mm. The machine is meant to produce rods of mean length 150.0150.0 mm.
    (a)
    Find the standard deviation of the sample mean, to 33 significant figures.
    [1 mark]
    • A0.0200.020 mm
    • B0.1010.101 mm
    • C0.1260.126 mm
    • D5.065.06 mm
    (b)
    Which value is the lower limit of a 95%95\% confidence interval for the population mean?
    [1 mark]
    • A150.05150.05 mm
    • B149.97149.97 mm
    • C150.09150.09 mm
    • D148.73148.73 mm
    (c)
    Use the 95%95\% confidence interval to comment on whether the machine is producing rods with mean length 150.0150.0 mm.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    The mass of compost in bags sold by a garden centre is normally distributed. A random sample of 99 bags has sample mean 20.420.4 kg and an unbiased estimate of the population variance of 1.441.44 kg2^2. A 95%95\% confidence interval for the population mean is to be found.
    (a)
    How many degrees of freedom does the relevant tt-distribution have?
    [1 mark]
    • A99
    • B88
    • C77
    • D1010
    (b)
    Which is the critical value of tt to use?
    [1 mark]
    • A2.2622.262
    • B1.8601.860
    • C1.9601.960
    • D2.3062.306
    (c)
    Explain why the tt-distribution is used rather than the normal distribution, and state the assumption about the population that this requires.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    The times taken by a restaurant to deliver orders are normally distributed. A random sample of 100100 delivery times, in minutes, has mean 52.452.4 and standard deviation s=6.5s=6.5.
    (a)
    Construct a 98%98\% confidence interval for the mean delivery time. Give the limits to 33 significant figures.
    [3 marks]
    (b)
    A second study assumes the population standard deviation is exactly 6.56.5 minutes. Find the least sample size for which a 95%95\% confidence interval for the mean has width at most 22 minutes.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A car maker claims that the mean fuel consumption of a new model is 5.25.2 litres per 100100 km. Fuel consumption is normally distributed. A random sample of 88 cars gives these values, in litres per 100100 km: 5.6, 5.9, 5.1, 5.7, 5.4, 6.0, 5.5, 5.85.6,\ 5.9,\ 5.1,\ 5.7,\ 5.4,\ 6.0,\ 5.5,\ 5.8. These data have ∑x2=253.72\sum x^2=253.72. A consumer group suspects that the mean is higher than the claim.
    (a)
    Test the consumer group's suspicion at the 5%5\% significance level.
    [6 marks]
    (b)
    Construct a 99%99\% confidence interval for the mean fuel consumption. Hence comment on whether the interval is consistent with your conclusion in part (a).
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    The yield of apple trees in an orchard is normally distributed with standard deviation 3.03.0 kg. A 95%95\% confidence interval for the mean yield, based on a random sample of nn trees, is (17.16, 18.84)(17.16,\ 18.84) kg.
    (a)
    What is the sample mean?
    [1 mark]
    • A18.0018.00 kg
    • B17.5017.50 kg
    • C18.8418.84 kg
    • D1.681.68 kg
    (b)
    What is the value of nn?
    [1 mark]
    • A77
    • B1212
    • C1616
    • D4949
    (c)
    A 90%90\% confidence interval is constructed from the same sample. State whether it is narrower or wider than the 95%95\% interval, giving a reason.
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    A school's records say that pupils take 14.014.0 minutes on average to walk to school. A teacher thinks this is no longer true. Walking times are normally distributed. A random sample of 1010 pupils has sample mean 12.312.3 minutes and unbiased estimate of the population standard deviation 2.12.1 minutes.
    (a)
    Which pair of hypotheses should be used?
    [1 mark]
    • AH0:μ=14.0H_0:\mu=14.0 and H1:μ<14.0H_1:\mu<14.0
    • BH0:xˉ=14.0H_0:\bar{x}=14.0 and H1:xˉ≠14.0H_1:\bar{x}\ne14.0
    • CH0:μ=14.0H_0:\mu=14.0 and H1:μ≠14.0H_1:\mu\ne14.0
    • DH0:μ≠14.0H_0:\mu\ne14.0 and H1:μ=14.0H_1:\mu=14.0
    (b)
    Calculate the value of the test statistic, to 33 significant figures.
    [1 mark]
    • A−0.810-0.810
    • B−2.56-2.56
    • C−8.10-8.10
    • D−2.43-2.43
    (c)
    The critical values for a two-tailed test at the 5%5\% significance level are required. Use them to complete the test and state your conclusion in context.
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    The vitamin C content of cartons of orange juice, in mg per 100100 ml, is normally distributed. A random sample of 1212 cartons has ∑x=507.6\sum x=507.6 and ∑x2=21544.08\sum x^2=21544.08.
    (a)
    Find the sample mean and an unbiased estimate of the population variance.
    [3 marks]
    (b)
    Construct a 95%95\% confidence interval for the mean vitamin C content.
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    A hospital records the time, in minutes, that a nurse spends with each patient. Times are normally distributed. A pilot sample of 66 patients has ∑x=83.2\sum x=83.2 and ∑x2=1157.9\sum x^2=1157.9. A later random sample of 120120 patients has mean 14.914.9 minutes and s=2.8s=2.8 minutes. A manager believes that the mean time is 14.014.0 minutes.
    (a)
    Use the pilot sample to construct a 95%95\% confidence interval for the mean time.
    [6 marks]
    (b)
    Construct a 95%95\% confidence interval from the later sample. Give two reasons why it is narrower than your interval in part (a), and state what each interval suggests about the manager's belief.
    [6 marks]

    Total for question 8: 12 marks

End of questions

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).