Yates' correctionAQA A-Level Further Maths: Flashcards
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What is Yates' correction?
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- What is Yates' correction?
- A continuity correction: subtract from each before squaring.
- State the corrected test statistic.
- When is Yates' correction applied?
- For a contingency table, where .
- Why is Yates' correction needed?
- Observed frequencies are discrete but the chi-squared distribution is continuous, so the uncorrected statistic is too large.
- Does Yates' correction raise or lower the statistic?
- It lowers it, making the test more cautious.
- Degrees of freedom for a table?
- critical value for ?
- critical value for ?
- What is the modulus used for in the corrected formula?
- Every difference is made positive, so always reduces the size of the difference.
- In a table, how do the four values compare?
- They are all equal, so calculate once.
- Does the rule that every still apply?
- Yes.
- Corrected statistic , , level: conclusion?
- , so do not reject .
Exam questions on Yates' correction
- A gardener compares germination for 60 seeds given fertiliser and 60 seeds given none. Of the seeds given fertiliser, 42 germinate. Of the seeds given none, 30 germinate. A chi-squared test for association between treatment and germination is to be carried out.State the degrees of freedom of the test statistic and explain why Yates' correction is applied.2 marks
- A survey of 50 people records which of two products, A or B, each prefers. Of the 30 men, 20 prefer A and 10 prefer B. Of the 20 women, 6 prefer A and 14 prefer B.Calculate the value of the test statistic with Yates' correction applied.2 marks
- A trial compares two treatments for a skin condition. Of 20 patients given treatment A, 14 were cured. Of 20 patients given treatment B, 8 were cured.Calculate the value of the test statistic with Yates' correction applied.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).