A social psychologist hypothesizes that depression is related to Facebook use. The psychologist collects hours on Facebook and depression score data from a sample of clinically depressed patients. What can be concluded with α = 0.10?
depression | |
3 3 2 5 4 3 4 2 3 |
4 0 7 9 6 1 11 2 5 |
a) What is the appropriate statistic?
---Select--- na, Correlation, Slope, Chi-Square
Compute the statistic selected in
a):
b) 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
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size = ; ---Select--- na, trivial
effect, small effect, medium effect, large effect
d) Make an interpretation based on the
results.
a. There is a significant positive relationship between using Facebook and depression.
b. There is a significant negative relationship between using Facebook and depression.
c. There is no significant relationship between using Facebook and depression.
a] NULL HYPOTHESIS H0:
ALTERNATIVE HYPOTHESIS Ha:
b]
test statistic= 1.79
degrees of freedom= 9-2=7
critical t value= 1.89
Critical value > t cal therefore NOT SIGNIFICANT
DECISION: DO NOT REJECT H0.
Effect size = r^2= (0.56)^2= 0.3136
SMALL
c. There is no significant relationship between using Facebook and depression.
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