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Hypothesis tests for binomial and PoissonEdexcel International A Level Further Maths: Flashcards

What these 14 flashcards ask

  • Under H0:p=p0, what is the distribution of the test statistic in a binomial test?
  • Under H0:\lambda=\lambda0, what is the distribution of the test statistic in a Poisson test?
  • A rate of 2.5 per hour is observed for 4 hours. What is \lambda?
  • What is P(X\ge k) in terms of P(X\le\cdot)?
  • How do you find the critical region for H1:p<p0?
  • How do you find the critical region for H1:pp0?
  • How do you use tables for X\simB(n,p) with p0.5?
  • What level is used in each tail of a two-tailed 5\% test?
  • In a two-tailed test, what do you compare a one-tail probability with?
  • What is the actual significance level?
  • What normal approximation is used for a binomial test with large n?
  • What conditions make the normal approximation to the binomial reasonable?
  • What z-value is the 5\% lower-tail point of the standard normal?
  • How should a conclusion be worded?

Exam questions on Hypothesis tests for binomial and Poisson

  1. A seed company claims that 70%70\% of its seeds germinate. A gardener plants 2020 seeds and suspects that the true proportion is lower. Let pp be the probability that a seed germinates and XX the number of the 2020 seeds that germinate. She tests H0:p=0.7\mathrm{H}_0:p=0.7 against H1:p<0.7\mathrm{H}_1:p<0.7 at the 5%5\% significance level. A calculator may be used.
    Exactly 1010 of the gardener's seeds germinate. State the conclusion of the test in context.2 marks
  2. Emergency calls to a fire station arrive at random, with a mean of 2.52.5 per hour. After a new housing estate opens, the controller thinks that the rate of calls has increased. In a randomly chosen 44-hour period there are 1616 calls. Let λ\lambda be the mean number of calls in a 44-hour period and let XX be the number of calls in a 44-hour period. The test is at the 5%5\% significance level. A calculator may be used.
    Complete the test and state the conclusion in context.2 marks
  3. A national survey reports that 40%40\% of Year 13 students study after 10 pm. A school believes that its own proportion is different. In a random sample of 150150 of its Year 13 students, 7272 say that they study after 10 pm. Let pp be the proportion of the school's Year 13 students who study after 10 pm and XX the number in the sample who do. The school tests H0:p=0.4\mathrm{H}_0:p=0.4 against H1:p≠0.4\mathrm{H}_1:p\ne0.4 at the 5%5\% significance level, using a normal approximation to the binomial distribution. A calculator may be used.
    Assuming H0\mathrm{H}_0 is true, use a normal approximation to find P(X≥72)\mathrm{P}(X\ge72).3 marks
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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).