A national organization ran an advertising campaign designed to
convince people to quit smoking. To evaluate their campaign, they
had subjects record the average number of cigarettes smoked per day
in the week before and three weeks after exposure to the ad. What
can be concluded with α = 0.05. The data are below.
before | after |
46 17 21 34 31 20 34 26 27 41 |
35 17 12 29 29 19 27 26 16 41 |
a) What is the appropriate test statistic?
---Select: na, z-test, One-Sample t-test, Independent-Samples
t-test, or Related-Samples t-test
b)
Condition 1:
---Select: before, advertising, campaign, after, or smoking
cigarettes
Condition 2:
---Select: before, advertising, campaign, after, or smoking
cigarettes
c) Obtain/compute the appropriate values to make a
decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
critical value? = ; test statistic? =
Decision?: ---Select--- Reject H0 Fail to reject
H0
d) If appropriate, compute the CI. If not
appropriate, input "na" for both spaces below.
[ , ]
e) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
d? = ; ---Select: na, trivial effect, small
effect, medium effect, or large effect
r2? = ; ---Select: na, trivial
effect, small effect, medium effect, or large effect
f) Make an interpretation based on the
results.
(a)There was a significant decrease in cigarettes smoked after the ad.
(b)There was a significant increase in cigarettes smoked after the ad.
(c)There was no significant difference between the number of cigarettes smoked before and after the ad.
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