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Paper 2 · Specimen 2026 · Statistical Tests and Distributions

At a school the pass rate in 'A' level mathematics was 40%40\%. After a new teacher was hired, 44 out of 99 students passed. A test is to be run at the 5%5\% level for evidence of an improvement. Which pair of hypotheses is correct?

AH0:p=0.4H_0: p = 0.4 against H1:p≠0.4H_1: p \ne 0.4, a two-tailed test since the pass rate could move either way
BH0:p>0.4H_0: p > 0.4 against H1:p=0.4H_1: p = 0.4, putting the claimed improvement into the null hypothesis
CH0:p=0.44H_0: p = 0.44 against H1:p>0.44H_1: p > 0.44, using the observed sample proportion as the value under test
DH0:p=0.4H_0: p = 0.4 against H1:p>0.4H_1: p > 0.4, a one-tailed test since only an improvement is of interest

Explanation

The null hypothesis always states the value being assumed until the data argue otherwise, which here is the historical pass rate p=0.4p = 0.4, and it is always an equality. The question asks specifically about an improvement, so the alternative is one-sided, p>0.4p > 0.4. The observed proportion 49\dfrac49 is the evidence, not the hypothesis.

Derived from ZIMSEC Additional Mathematics Paper 2, Specimen Paper, Q7

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