Information Technology Reference
In-Depth Information
Table 10.5
The results of the compared means analysis for the K-mobile banking plus application
Levene's test
for equality
of variances
t-test for equality of means
95 % confidence
interval of the
difference
Lower
F
Sig.
t
df
Sig. (2 -tailed)
Upper
Ease of use
factor
score
Equal variances
assumed
0.009 0.926 0.463 96
0.645
0.4710 0.7574
Equal variances
not assumed
0.478 14.552 0.640
0.4970 0.7834
Table 10.6
The results of the compared means analysis for the mPay application
Levene's
test for
equality of
variances
t-test for equality of means
95 % confidence
interval of the
difference
Lower
F
Sig.
t
df
Sig. (2 -tailed)
Upper
Ease of use
factor
score
Equal variances
assumed
0.239 0.626
0.398 96
0.692
0.6540 0.4357
Equal variances
not assumed
0.417 22.280 0.681
0.6516 0.4333
The average of ease of use for people who never had experience of using a
touch screen system on mobile phone
m
M
¼
Null hypothesis (H0):
m
S
¼ m
M
: There is no significant experience difference in the ease of use.
Alternative hypothesis (HA):
m
S
6¼ m
M
: There is a significant experience differ-
ence in the ease of use.
Assumed that:
1. Dependent variable “ease of use” is a numerical variable.
2. The dependent variable is normally distributed.
3. The two groups have approximately equal variance on the dependent variable.
The independent samples t-test was used because it tests whether the means of
two groups (experienced and non-experienced groups) are equal or not, and the
means in this test are numerical variables (ease of use).
In Table
10.5
, the Levene's test for equality of variances shows that the F ratio
(0.009) is not significant (p
0.926), and so the two variances are not significantly
different. Thus, equal variances were assumed with a t value of 0.463 and 96
¼
