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
- A seed company claims that of its seeds germinate. A gardener plants seeds and suspects that the true proportion is lower. Let be the probability that a seed germinates and the number of the seeds that germinate. She tests against at the significance level. A calculator may be used.Exactly of the gardener's seeds germinate. State the conclusion of the test in context.2 marks
- Emergency calls to a fire station arrive at random, with a mean of per hour. After a new housing estate opens, the controller thinks that the rate of calls has increased. In a randomly chosen -hour period there are calls. Let be the mean number of calls in a -hour period and let be the number of calls in a -hour period. The test is at the significance level. A calculator may be used.Complete the test and state the conclusion in context.2 marks
- A national survey reports that of Year 13 students study after 10 pm. A school believes that its own proportion is different. In a random sample of of its Year 13 students, say that they study after 10 pm. Let be the proportion of the school's Year 13 students who study after 10 pm and the number in the sample who do. The school tests against at the significance level, using a normal approximation to the binomial distribution. A calculator may be used.Assuming is true, use a normal approximation to find .3 marks
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).