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As the P-value is less than , we reject the null hypothesis. Thus, there is sufficient evidence to conclude that the proportion of US teenagers
As the P-value is less than , we reject the null hypothesis. Thus, there is sufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is less than , we reject the null hypothesis. Thus, there is insufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is less than , we fail to reject the null hypothesis. Thus, there is sufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is less than , we fail to reject the null hypothesis. Thus, there is insufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is greater than , we reject the null hypothesis. Thus, there is sufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is greater than , we reject the null hypothesis. Thus, there is insufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is greater than , we fail to reject the null hypothesis. Thus, there is sufficient evidence to conclude that the proportion of US teenagers between the ages of 13 and 17 who smoke has decreased. As the P-value is greater than , we fail to re
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