We tested to see if the true percentage ofcaffeine drinkers who smoke is greater thanthan non-caffeine drinkers who smoke at the alpha = 0.05 level. Assume we found a p-value of 0.002189. Which below would be an appropriate conclusion and interpretation?

With an alpha of 0.05,and a p-value of 0.002189, we reject the null and state we have sufficient evidence to support that the true proportion of caffeine drinkers who smoke is greater than that of non-caffeine drinking smokers.

With an alpha of0.05,and a p-value of0.002189,we reject the null and state we have sufficient evidence to support that the true proportion of caffeine drinkers who smoke is less than that of non-caffeine drinking smokers.

With an alpha of0.05,and a p-value of0.002189,we reject the null and state we have sufficient evidence to support that the true average of caffeine drinkers who smoke is greater than that of non-caffeine drinking smokers.

With an alpha of0.05,and a p-value of0.002189,we fail toreject the null and state we have insufficient evidence to support that the true proportion of caffeine drinkers who smoke is greater than that of non-caffeine drinking smokers.