Question

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 = 1.6 n1 = 9	2 = 5.8 2 = 2 n2 = 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
r^2? = ;  ---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.

Answer 1

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