Asthma affects 7% of the population. The American Journal of Respiratory and Critical Care Medicine reported on a study designed to determine if for people who regularly taking aspirin, the percentage with asthma was lower than 7%. Of 2200 randomly selected individuals who regularly take aspirin, 5.7% had asthma. The test statistic for the study was -2.39 and the p-value was .0084.

Which of the following is the best interpretation of the p-value?

Assuming the true proportion of regular aspirin users having asthma is less than 0.07, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or closer to 0 is 0.0084.

Assuming the true proportion of regular aspirin users having asthma is 0.057, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or more negative is 0.0084.

Assuming the true proportion of regular aspirin users having asthma is 0.07, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or more negative is 0.0084.

Assuming the true proportion of regular aspirin users having asthma is 0.057, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or closer to O is 0.0084.

Assuming the true proportion of regular aspirin users having asthma is 0.07, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or closer to O is 0.0084.

Assuming the true proportion of regular aspirin users having asthma is less than 0.07, the probability of selecting another sample of 2200 whose test statistic value is -2.39 or more negative is 0.0084.