A study was conducted using undergraduates at a rural university
who volunteered to participate in the research as partial
fulfillment of a course requirement. One of the items studied was
the amount of alcohol consumed (in drinks) in any one day for the
past month. Administrators want to know if there are differences in
alcohol consumption between freshmen and juniors. Based on the
information in the table below, what can be concluded with α =
0.05?
freshmen | juniors |
1 = 5.1
1 = 1.6n1 = 9 |
2 = 5.8
2 = 2n2 = 6 |
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: juniors, freshmen, alcohol consumption, undergraduates,
or the private university
Condition 2:
---Select: juniors, freshmen, alcohol consumption,
undergraduates, or the private university
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)The freshmen consumed significantly more alcohol than juniors.
(b)The freshmen consumed significantly less alcohol than juniors.
(c)The amount of alcohol consumed by freshmen and juniors did not significantly differ.
a) use and independent samples t-test. Because we want to compare means from two distinct populations and our sample size is small.
b) condition 1: freshmen condition 2: juniors
c)
f) Option C: the amount of alcohol consumed did not differ significantly
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