Running head: STATISTICS PROBLEM SET
1
Statistics
Problem Set
Name
Institutional Affiliation

STATISTICS PROBLEM SET
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‘Statistics
Problem Set’
In order to determine the correlation between the dependent variables correlations was
inspected, these are shown in table 1.
Table 1
: Correlations
The correlation coefficient was computed to test whether there is a relationship between
the variables.
There sufficient statistical observed correlation between the variables. Therefore,
the dependent variables are shown to be both conceptually and statistically (r=0.513>0.5) related
(Alin, 2006).
In order to test the hypothesis that observed covariance matrices of the dependent variables are
equal across groups, we conducted Box`s test of equality of covariance matrices, table 2.

STATISTICS PROBLEM SET
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Table 2
: Box's Test of Equality of Covariance Matrices
Table 2 shows the significance values of the tests p-values=0.463<0.05 indicates no
violation of the assumption. Therefore, there is sufficient evidence to conclude that the observed
covariance matrices of the dependent variables are equal across groups.
Table 3
: Levene's Test of Equality of Error Variances
a
To further test the hypothesis, Levene's test of equality of error variances was computed.
The significance for emotion 0.135> 0.1, so not enough reason to believe that the equal variance
assumption is violated in this study
Tests of Between-Subjects Effects was also conducted to examine the statistically
significant multivariate interaction effect (Alin, 2006). These results are shown in table 4.