Copyright Malvin Porter, Jr. 2010 - acumen - The University of ...

Table 24
CBVS Test and Confidence Interval for the Proportion of Males and the Proportion of Females
who Selected Prosocial/Care Justification Choices
Sample ƒ n Sample p
Male 82 284 0.288732
Female 105 348 0.301724
Test of p = 0 vs. p ≠ 0
Difference = p (male) – p (female)
Estimate for difference: -0.0129917
95% CI (-0.0844308, 0.0584473)
Test for difference = 0 (vs. ≠ 0): Z = -0.36, P-Value = 0.722
Fisher's exact test: P-Value = 0.727
N = 632 responses
A test for the Difference in Proportions tested the following null hypothesis: There is no
difference between the proportion of males and females who choose Aggressive/Retribution
Justifications.
Of the 284 Worst Justification Choice responses selected by males, 49 were
Aggressive/Retribution Justification Choices (sample p = 0.172535). Of the 348 Worst
Justification Choice responses selected by females, 27 were Aggressive/Retribution Justification
Choices (sample p = 0.077586). The estimate of the difference between male responses and
female responses was 0.0949490. The hypothesized difference in proportions of zero does not lie
within the 95% CI (0.0427848, 0.147113) for the difference in proportions between male
responses and female responses to Aggressive/Retribution Justification Choices. Therefore, zero
is not a plausible value for the difference in proportions between male responses and female
responses to Aggressive/Retribution Justification Choices. Thus, I reject the null hypothesis and I
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