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For testing equality of two population proportions we use ................. test.

  • A.F
  • B.Chi-square
  • C.t
  • D.z

Answer: D

Equality of two population proportions is tested with the z test.

For large samples the difference between two sample proportions is approximately normally distributed, so the test statistic is

\[ \begin{aligned} z &= \frac{p_{1} - p_{2}}{\sqrt{PQ \, S}}, \\ S &= \frac{1}{n_{1}} + \frac{1}{n_{2}} \end{aligned} \]

where \(P\) is the pooled proportion. The F test compares variances, the t test compares means in small samples, and the chi-square test is used for goodness of fit and independence, though it can also compare proportions in a contingency table.

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