Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Suppose you design an experiment with two groups of high school students from Argentina. You show a tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students plan to/plan not to smoke as adults, using a 5-point Likert scale. The first group has 97 students and the second group has 49. The first group, who saw the ads, scored an average of 0.8 with a sample standard deviation of 0.9 on the 5-point Likert scale. The second group, who did not see the ads, scored an average of 3.4 with a sample standard deviation of 2.4 on the 5-point Likert scale.

Suppose you intend to conduct a hypothesis test on the difference in population means. In preparation, you identify the sample that saw the ads as sample 1 and the sample that did not see the ads as sample 2. Organize the provided data by completing the following table:

Sample 1	Sample 2
N1

=

N2

=

1

=

2

=

X1

=

X2

=

1

=

2

=

s1

=

s2

=

The difference in sample means for sample 1 and sample 2 is .

The estimate of the standard deviation of the sampling distribution of the differences in sample means, s(XX)

, is .

Now, you know all that you need to know to answer the question about whether the students who saw the youth smoking prevention ads have differences in the degree to which the students plan to/plan not to smoke as adults.