Analysis of Mental Accounting Differences between Male and Female Participants

Running head: DISSERTATION
Dissertation
Name of the student
Name of the University
Author note

1DISSERTATION
ANALYSIS
To analyse the collected data, independent sample t-test has been used. The purpose of
this data analysis is to examine whether there is a statistical significant difference in mental
accounting between two groups namely Male and Female.
For independent sample t-test the null hypothesis H0 is the scores of Male and Female in
mental accounting problems will not vary. The alternative hypothesis H1 is the scores of Male
and Female in mental accounting problems will vary.
In order to prove the null hypothesis H0 the scores of male and female participants have
to be significantly different. The significant difference has been examined by Levene’s Test to
test the homogeneity of variance. The two tailed t-test value has been considered to find the
significance value or p-value. The aim of this t-test is to examine if P>0.05 or p<0.05. If p<0.05,
it can be said that the differences in two groups are statistically significant. However, for P<0.05,
the null hypothesis should be rejected and alternative hypothesis should be accepted. For p>0.05,
the alternative hypothesis should be rejected and null hypothesis should be accepted.
Group Statistics
Questions Mental Accounting Problems Gender N Mean Std. Deviation Std. Error Mean
Q2 Movie ticket problem,
Scenario A
Female 11 1.55 .522 .157
Male 10 1.80 .422 .133
Q5 Movie ticket problem,
Scenario B
Female 11 1.55 .522 .157
Male 11 2.00 .000 .000
Q3 Sneaker and umbrella problem,
Scenario A
Female 11 1.45 .522 .157
Male 11 1.36 .505 .152
Q6 Sneaker and umbrella problem,
Scenario B
Female 11 1.36 .505 .152
Male 11 1.09 .302 .091
Q4 Basketball game problem,
Scenario A
Female 11 1.36 .505 .152
Male 11 1.55 .522 .157
Q7 Basketball game problem, Female 11 1.64 .505 .152

2DISSERTATION
Scenario B Male 11 1.73 .467 .141
Table 1: Group Statistics
From the mean value distribution of 6 questions, the mean values are presented in the
following bar graph to show the differences of mean values within male and female participants.
Q2 Q5 Q3 Q6 Q4 Q7
0
0.5
1
1.5
2
2.5
Female
Male
Figure 1: Group Statistics Graph
From the above statistical group analysis with mean value and standard error, it has been
found that the all male participants answered yes to Movie ticket problem Scenario B. However,
as per the graphical representation of mean values, it has been found that in Q3 Sneaker and
umbrella problem Scenario A and Sneaker and umbrella problem Scenario B most of the male
participants have scored low mean value, which means more tendency to give the answer “No”.
On the other hand, in Movie ticket problem Scenario A, Movie ticket problem Scenario B,
Basketball game problem Scenario A, Basketball game problem Scenario and Movie ticket
problem Scenario B, Males are more likely to give the answer “Yes”.