In: Statistics and Probability
Administrators want to know if test anxiety is impacted by the
number of college years completed. After completing their freshman
year, a random sample of students was selected and given the
College Test Anxiety Questionnaire (CTAQ); higher scores indicate
more test anxiety. After completing their junior year they were
again tested. What can the administrators conclude with α
= 0.05?
freshman | junior |
---|---|
5.9 7.2 7.4 6.8 8.5 6.2 7.3 5.2 |
2.1 7.5 3.2 5.6 5.5 6.4 4.6 5.2 |
a) What is the appropriate test statistic?
---Select---naz-testOne-Sample t-testIndependent-Samples
t-testRelated-Samples t-test
b)
Condition 1:
---Select---CTAQnumber of college yearsfreshmanjuniortest
anxiety
Condition 2:
---Select---CTAQnumber of college yearsfreshmanjuniortest
anxiety
c) Input the appropriate value(s) to make a
decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
p-value = _______; Decision: ---Select---Reject H0Fail to
reject H0
d) Using the SPSS results,
compute the corresponding effect size(s) and indicate
magnitude(s).
If not appropriate, input and/or select "na" below.
d = ______; ---Select---natrivial effectsmall effectmedium
effectlarge effect
r2 =________ ; ---Select---natrivial
effectsmall effectmedium effectlarge effect
e) Make an interpretation based on the
results.
Students showed significantly less anxiety in their junior year as opposed to their freshman year.
Students showed significantly more anxiety in their junior year as opposed to their freshman year.
Students showed no significant anxiety difference between their junior and freshman year.
Result:
Administrators want to know if test anxiety is impacted by the number of college years completed. After completing their freshman year, a random sample of students was selected and given the College Test Anxiety Questionnaire (CTAQ); higher scores indicate more test anxiety. After completing their junior year they were again tested. What can the administrators conclude with α = 0.05?
freshman |
junior |
5.9 |
2.1 |
a) What is the appropriate test statistic?
---Select---Related-Samples t-test
b)
Condition 1:
---Select---freshman
Condition 2:
---Select---junior
c) Input the appropriate value(s) to make a
decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
p-value = 0.029; Decision: ---Select---Reject
H0
Paired Samples Statistics |
|||||
Mean |
N |
Std. Deviation |
Std. Error Mean |
||
Pair 1 |
freshman |
6.8125 |
8 |
1.02739 |
0.36324 |
junior |
5.0125 |
8 |
1.71834 |
0.60752 |
Paired Samples Correlations |
||||
N |
Correlation |
Sig. |
||
Pair 1 |
freshman & junior |
8 |
0.163 |
0.699 |
Paired Samples Test |
|||||||||
Paired Differences |
t |
df |
Sig. (2-tailed) |
||||||
Mean |
Std. Deviation |
Std. Error Mean |
95% Confidence Interval of the Difference |
||||||
Lower |
Upper |
||||||||
Pair 1 |
freshman - junior |
1.80000 |
1.85241 |
0.65493 |
0.25135 |
3.34865 |
2.748 |
7 |
0.029 |
d) Using the SPSS results,
compute the corresponding effect size(s) and indicate
magnitude(s).
If not appropriate, input and/or select "na" below.
d = 0.97; ---Select---large effect
r2 =na ; ---Select---na
d =1.8/1.85241 =0.97171
e) Make an interpretation based on the results.
Students showed significantly less anxiety in their junior year as opposed to their freshman year.