All mind maps topics

Type I and Type II errors and powerEdexcel A-Level Further Maths: Mind map

Type I error
Type II error
Power

Errors and power

how a hypothesis test can fail

Type IType IIpower
Power function
Distributions
Trade-offs

Exam questions on Type I and Type II errors and power

  1. A coin is suspected of being biased towards heads. It is tossed 10 times and XX is the number of heads, where X∼B(10,p)X\sim\mathrm{B}(10,p). The hypotheses are H0:p=0.5\mathrm{H}_0:p=0.5 and H1:p>0.5\mathrm{H}_1:p>0.5, and H0\mathrm{H}_0 is rejected if X≥8X\geq8.
    Find the power of the test when p=0.6p=0.6.2 marks
  2. The number of defects on a sheet of metal is modelled by Po(λ)\mathrm{Po}(\lambda). One sheet is inspected to test H0:λ=2\mathrm{H}_0:\lambda=2 against H1:λ>2\mathrm{H}_1:\lambda>2. The test rejects H0\mathrm{H}_0 if the sheet has 5 or more defects.
    The critical region is changed to X≥6X\geq6. State, with a supporting calculation, the effect on the size of the test and on the power of the test when λ=4\lambda=4.2 marks
  3. A machine fills cereal boxes, and the mass of cereal in a box, in grams, is normally distributed with standard deviation 22. The mean mass should be 500500 but the manager suspects it is lower. The manager tests H0:μ=500\mathrm{H}_0:\mu=500 against H1:μ<500\mathrm{H}_1:\mu<500 using the mean xˉ\bar x of a random sample of 16 boxes, and rejects H0\mathrm{H}_0 if xˉ<499\bar x<499.
    Find the size of the test.3 marks
See the full worksheet

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).