In: Statistics and Probability
Dr. Page believes that going through a training program will
decrease weekly exercise. College students exercise an average of
2.2 days a week with a variance of 2.25 days. Dr. Page's sample of
28 students exercise an average of 1.6 days a week. What can be
concluded with an α of 0.01?
a) What is the appropriate test statistic?
---Select one--- (na, z-test, one-sample t-test,
independent-samples t-test, or related-samples t-test)
b)
Population:
---Select one--- ((exercise), college students, days in the week,
students, or individuals exposed to the training program)
Sample:
---Select one--- ((exercise), college students, days in the week,
students, or individuals exposed to the training program)
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 one--- (Reject H0 or 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 select "na" below.
d = ; ---Select one--- (na, trivial effect,
small effect, medium effect, or large effect)
r2 = ; ---Select one--- (na,
trivial effect, small effect, medium effect, or large effect)
f) Make an interpretation based on the
results.
a. Individuals that went through the training program did significantly more exercise than college students.
b. Individuals that went through the training program did significantly less exercise than college students.
c. The training program has no significant effect on weekly exercise.