Dr. Hanh hypothesizes that her statistics course will have an
impact on student life satisfaction. To test this hypothesis, she
collects life satisfaction ratings for all students in the course
at the start of the semester and again at the end of the semester.
Below are the data. What can Dr. Hanh conclude with an an
α of 0.05?
start | end |
---|---|
82 75 81 91 87 84 |
91 84 93 90 87 79 |
a) What is the appropriate test statistic?
---Select--- na z-test One-Sample t-test Independent-Samples t-test
Related-Samples t-test
b)
Condition 1:
---Select--- life satisfaction the semester statistics course
semester start semester end
Condition 2:
---Select--- life satisfaction the semester statistics course
semester start semester end
c) Compute the appropriate test statistic(s) 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 large effect
r2 = ; ---Select--- na
trivial effect small effect medium effect large effect
f) Make an interpretation based on the
results.
Student life satisfaction is significantly lower at the completion of the statistics course
.Student life satisfaction is significantly higher at the completion of the statistics course.
Student life satisfaction is not significantly higher at the completion of the statistics course.
Dr. Hanh hypothesizes that her statistics course will have an impact on student life satisfaction. To...
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