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Binomial distribution and hypothesis testing (AS)AQA A-Level Maths: Topic test

20 questions, 54 marks

AQA A-Level Maths

Binomial distribution and hypothesis testing (AS) topic test

Total 54 marks

Name

Class

Date

  1. 1
    A shop sells scratch cards. Each card independently wins a prize with probability 0.20.2. Marcus buys 88 cards. Let XX be the number of cards that win a prize.
    (a)
    Which distribution can be used to model XX?
    [1 mark]
    • AB(8,0.8)B(8,0.8)
    • BB(8,0.2)B(8,0.2)
    • CB(0.2,8)B(0.2,8)
    • DB(2,0.8)B(2,0.8)
    (b)
    What is P(X=2)P(X=2)?
    [1 mark]
    • A0.2940.294
    • B0.01050.0105
    • C0.7970.797
    • D0.20.2
    (c)
    Find the probability that at least one of the cards wins a prize.
    [2 marks]

    Total for question 1: 4 marks

  2. 2
    A manufacturer claims that 10% of its phone chargers are faulty. An inspector believes that the proportion pp of faulty chargers is greater than this. She takes a random sample of 2020 chargers, counts the number XX that are faulty, and tests at the 5% significance level. When p=0.1p=0.1, P(X≤3)=0.8670P(X\le3)=0.8670 and P(X≤4)=0.9568P(X\le4)=0.9568.
    (a)
    Which pair of hypotheses should she use?
    [1 mark]
    • AH0:p=0.1H_0:p=0.1, H1:p<0.1H_1:p<0.1
    • BH0:p=0.1H_0:p=0.1, H1:p≠0.1H_1:p\ne0.1
    • CH0:p=0.1H_0:p=0.1, H1:p>0.1H_1:p>0.1
    • DH0:p>0.1H_0:p>0.1, H1:p=0.1H_1:p=0.1
    (b)
    What is the critical region for the test?
    [1 mark]
    • AX≥3X\ge3
    • BX≥4X\ge4
    • CX≤4X\le4
    • DX≥5X\ge5
    (c)
    State the actual significance level of the test, and explain what it represents.
    [2 marks]

    Total for question 2: 4 marks

  3. 3
    A university reports that 30% of its graduates move abroad within a year. A careers adviser thinks that the proportion is higher this year. She chooses 2020 graduates at random and finds that 1010 of them have moved abroad within a year. She tests at the 5% significance level.
    (a)
    State suitable hypotheses and find the probability of obtaining a result at least as extreme as 1010, assuming that the university's figure is correct.
    [3 marks]
    (b)
    Complete the test and state your conclusion in context. Explain whether the result proves that the proportion has risen.
    [4 marks]

    Total for question 3: 7 marks

  4. 4
    A coffee chain says that 20% of its customers use its loyalty app. A branch manager believes that the proportion at her branch is lower. She takes a random sample of 3030 customers and records the number XX who use the app. She will test at the 5% significance level.
    (a)
    State the hypotheses, and find the critical region for the test and the actual significance level.
    [6 marks]
    (b)
    In the sample, 33 customers use the app. (i) Carry out the test and state your conclusion in context. (ii) The manager says, 'This proves that exactly 20% of my customers use the app.' Comment. (iii) State one assumption needed for the binomial model and one way the sampling could break it.
    [6 marks]

    Total for question 4: 12 marks

  5. 5
    A call centre finds that each call it makes is answered with probability 0.350.35. An operator makes 1212 calls. Let YY be the number of calls that are answered.
    (a)
    Which assumption is needed to model YY as B(12,0.35)B(12,0.35)?
    [1 mark]
    • AExactly 1212 calls are answered
    • BThe probability of an answer changes after each call
    • CEach call has three possible outcomes
    • DThe calls are independent and each has the same probability of being answered
    (b)
    What is P(Y=4)P(Y=4)?
    [1 mark]
    • A0.1510.151
    • B0.2370.237
    • C0.350.35
    • D0.04240.0424
    (c)
    Find the probability that at most 22 calls are answered.
    [2 marks]

    Total for question 5: 4 marks

  6. 6
    A die manufacturer wants to test whether the probability pp of a particular die showing a six differs from 16\frac{1}{6}. The die is rolled 4040 times and the number of sixes, XX, is recorded. The test is two-tailed at the 10% significance level, with 5% in each tail. When p=16p=\frac16: P(X≤2)=0.0274P(X\le2)=0.0274, P(X≤3)=0.0811P(X\le3)=0.0811, P(X≥11)=0.0584P(X\ge11)=0.0584 and P(X≥12)=0.0261P(X\ge12)=0.0261.
    (a)
    Which pair of hypotheses should be used?
    [1 mark]
    • AH0:p=16H_0:p=\frac16, H1:p≠16H_1:p\ne\frac16
    • BH0:p=16H_0:p=\frac16, H1:p>16H_1:p>\frac16
    • CH0:p≠16H_0:p\ne\frac16, H1:p=16H_1:p=\frac16
    • DH0:p=16H_0:p=\frac16, H1:p<16H_1:p<\frac16
    (b)
    What is the critical region?
    [1 mark]
    • AX≤3X\le3 or X≥11X\ge11
    • BX≤2X\le2 or X≥11X\ge11
    • CX≤2X\le2 or X≥12X\ge12
    • DX≤3X\le3 or X≥12X\ge12
    (c)
    Find the actual significance level of the test.
    [2 marks]

    Total for question 6: 4 marks

  7. 7
    A manufacturer says that 90% of its batteries last at least 500500 hours. A consumer group suspects that the proportion is lower. It tests a random sample of 2020 batteries and finds that 1414 last at least 500500 hours. The group tests at the 1% significance level.
    (a)
    State suitable hypotheses and find the probability of obtaining a result at least as extreme as 1414 if the manufacturer's claim is correct.
    [3 marks]
    (b)
    Complete the test and state your conclusion in context. Explain what would have happened if the group had used the 5% significance level instead.
    [4 marks]

    Total for question 7: 7 marks

  8. 8
    A bank says that 12% of its online transactions are flagged for review. After a software upgrade, the fraud team thinks that the proportion flagged may have changed. The team takes a random sample of 5050 transactions and lets XX be the number flagged. It tests at the 5% significance level, using a two-tailed test with 2.5% in each tail.
    (a)
    State the hypotheses and find the critical region for the test. Find the actual significance level and explain what it means.
    [6 marks]
    (b)
    In the sample, 1111 transactions are flagged. (i) Carry out the two-tailed test and state your conclusion in context. (ii) The team had instead decided before sampling that it only suspected an increase, using H1:p>0.12H_1:p>0.12 at the 5% level. Show that the conclusion would then differ, and explain why the alternative hypothesis must be chosen before the sample is taken.
    [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).