Final answer:
The correct test statistic for the hypothesis that the proportion of voters supporting a candidate before and after an advertisement is the same is found using the z-test for two proportions. The correct calculation involves the proportions before and after the ad, the pooled proportion, and the respective sample sizes. Option (a) z = 0.56 - 0.527 /√(0.56*0.44/250 + 0.527*0.473/300) is the correctly structured answer.
Step-by-step explanation:
The question pertains to finding the correct test statistic for the hypothesis test that the proportion of voters supporting a candidate before and after seeing an advertisement is the same. The correct test statistic can be found using the formula for the z-test of two proportions, which is:
z = (pʂ - pα) / √[p (1-p) (⅑/nα + ⅑/nʂ)]
where:
- pα = Proportion of approval before the advertisement
- pʂ = Proportion of approval after the advertisement
- p = Pooled proportion of approval
- nα = Number of voters before the ad
- nʂ = Number of voters after the ad
Here, pα = 158/300 = 0.527 and pʂ = 140/250 = 0.56. The pooled proportion (p) is calculated using both samples, (158+140)/(300+250) which is not directly used in the answer choices provided. However, the correct answer choice should have the structure of the formula above and not include a square root in the denominator of the fraction after the plus sign, therefore option (a) is the correct one:
z = 0.56 − 0.527 /√(0.56∙0.44/250 + 0.527∙0.473/300)