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Assuming the requirements are met for the teenage smoking study and x = 0.05, what is the correct conclusion for testing the claim that the proportion of US teenagers between the ages of 13 and 17 who smoke has increased? As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is greater than a, 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 increased. O As the P-value is greater than a, 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 increased. As the P-value is greater than a, 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 increased. As the P-value is greater than a, 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 increased.

Assuming the requirements are met for the teenage smoking study and x = 0.05, what is the correct conclusion for testing the claim that the proportion of US teenagers between the ages of 13 and 17 who smoke has increased? As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is greater than a, 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 increased. O As the P-value is greater than a, 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 increased. As the P-value is greater than a, 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 increased. As the P-value is greater than a, 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 increased.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Previous research showed that 15% percent of teenagers between the ages of 13 and 17 smoke. A study was conducted to examine the current proportion of US teenagers between the ages of 13 and 17 who smoke. A survey asked a random sample of 785 teenagers between the ages of 13 to 17 if they smoke. 71 of the surveyed teenagers responded that they smoke. The information above is for the question below.
Assuming the requirements are met for the teenage smoking study and α = 0.05, what is the correct conclusion for testing the claim that the proportion of US teenagers between the ages of 13 and 17 who smoke has increased? As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is greater than x, 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 increased. As the P-value is greater than a, 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 increased. As the P-value is greater than x, 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 increased. As the P-value is greater than a, 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 increased.
Transcribed Image Text:Assuming the requirements are met for the teenage smoking study and α = 0.05, what is the correct conclusion for testing the claim that the proportion of US teenagers between the ages of 13 and 17 who smoke has increased? As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is less than a, 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 increased. As the P-value is greater than x, 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 increased. As the P-value is greater than a, 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 increased. As the P-value is greater than x, 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 increased. As the P-value is greater than a, 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 increased.
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