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Transcript of M banking
A Market Research onConsumer awareness and usage of MOBILE
BANKING
BY GROUP - 14
M - Banking
Mobile banking - used for performing balance checks, account transactions, payments, credit applications and other banking transactions through a mobile device
Apple's success with iPhone and the rapid growth of phones based on Google's Android have led to an increased use of special client programs, called apps, downloaded to the mobile device.
Change in the Telecom Sector
Trends in the
Telecom Industry
Trends in the
Telecom Industry
Mobile subscribers reaching an 800 million mark.
Of total population of 1210 million, approx 295 million is Urban population.
Out of that only 43 million are mobile banking users.
Wireless Subscribers to reach 893 million by 2012/13
Methodology
Universe of the Study• Urban Mobile users in India• Assumption – Internet Access in all mobile
phonesLocale of the Study • Urban Mobile users having bank accounts
Sample of the Study • Convenient sampling – friends and relatives• Respondents were approached through a
questionnaire• 48 people responded
Description of the Sample
46
2
Bank Account
YesNo
19-25 26-352223242526
2523
Age Group25 23
38
10
Gender
MaleFemale
Public
Sec
tor
Privat
e Sec
tor
Self E
mpl
oyed
Stude
nt
05
10152025
6
20
0
22
Occupation
47
1Have a Mobile
Phone
Yes
No
Description of the Sample
39
9
Mobile Internet Service
Yes No
13
35
M-Banking Service
Yes No
Reasons for Not Using M-Banking Service
Perciev
ed C
ost
secu
rity ris
k
serv
ice av
aila
bilit
y ris
k
Difficul
t to
use/No
know
ledg
e
Applic
atio
ns in
com
patib
le w
ith th
e cu
rren
t han
dset
Limit
on m
axim
um a
mou
nt th
at can
be tran
sfer
red
Any o
ther
05
101520253035
Preference 7Preference 6Preference 5Preference 4Preference 3Preference 2Preference 1
Population with Bank Account
According to statistics, 70 % of urban population has bank accounts.
96%
4%
Have Bank Account
No Bank Account
Hypothesis: Population with Bank Account
p = 0.70 (70 % of urban population has bank accounts.)
n = 48, þ^ =0.96
α = 0.05
H₀: þ = 0.70 ; Ha: þ > 0.70 (single tail)
Z from table = 1.645
Z observed value = 3.9
Mean
1.04 (1 being yes and 2 being no)
Variance 0.04
Standard Deviation 0.20
Rejection RegionNon - Rejection Region
3.9
Minitab output
Test of p = 0.7 vs p > 0.7 95% Lower ExactSample X N Sample p Bound P-Value1 46 48 0.958333 0.874586 0.000
Therefore we reject the null hypotheses. Percentage of urban population having bank account is more than 70%.
Population using M-Banking
According to statistics, 43 million out of 310 million urban population use mobile banking i.e. 15%
27%
73%
Use Mobile Banking
Do not Use M-Bank-ing
Hypothesis: Population using M-Banking
p = 0.15
n =48, þ^ = 0.27
α = 0.05
H₀: þ = 0.15, Ha: þ ≠ 0.15 (double tail)
Z from table = 1.96
Z observed value is 2.32
Mean 1.729167 (1 being yes and 2 being no)
Standard Deviation 0.449093
Sample Variance 0.201684
Rejection RegionNon - Rejection Region
Rejection Region
2.32
Minitab outputTest and CI for One Proportion
Test of p = 0.15 vs p not = 0.15
ExactSample X N Sample p 95% CI P-Value1 13 48 0.270833 (0.152782, 0.418456)
0.040
Here we see that population proportion is very close to the confidence interval starting from .152. therefore we do not reject the null hypothesis.
Female Population using M-Banking
According to statistics, 15 % of 43 million active mobile banking urban population is female.
20%
80%
Use M-Banking
Do Not Use M-Banking
Hypothesis: Female Population using M-Banking
p = 0.15
n =10, þ^ = 0.20
α = 0.05
H₀: þ = 0.15; Ha: þ ≠ 0.15 (double tail)
Z from table = 1.96
Z observed value is 0.44
Rejection RegionNon - Rejection Region
Rejection Region
0.44
Minitab outputTest and CI for One Proportion
Test of p = 0.15 vs p not = 0.15
ExactSample X N Sample p 95% CI P-Value1 2 10 0.200000 (0.025211, 0.556095) 1.000
Therefore we do reject the null hypotheses. Percentage of urban population having bank account and is female is 15%.
Primary Service
According to statistics, 90% of 43 million active mobile banking urban population primarily use it to check their account balance.
21%
79%
Use Mobile Bank-ing
Do Not Mobile Banking
Hypothesis: Primary Service
p = 0.90
n =48, þ^ = 0.85
α = 0.05
H₀: þ = 0.90, Ha: þ ≠ 0.90 (double tail)
Z from table = 1.96
Z observed value is -1.155
Rejection RegionNon - Rejection Region
Rejection Region
-1.155
Minitab output
Test and CI for One Proportion
Test of p = 0.9 vs p not = 0.9
ExactSample X N Sample p 95% CI P-Value1 41 48 0.854167 (0.722362, 0.939296) 0.329
Therefore we do not reject the null hypotheses. 90% of urban mobile banking users use it to check their account balance.
Two Sample Test
We conducted a separate survey on usage of mobile banking primarily from people in Chandigarh. We got 33 responses with following results.
21%
79%
Use Mobile Banking
Do Not Mobile Banking
Hypothesis: Two Sample TestH₀: þ1 – p2 = 0; Ha: þ1 – p2 ≠ 0 (Double tail)
α = 0.05
Z from table = 1.96
27.48
13
13
48
ˆ1
1
1
p
Xn
21.33
7
7
33
ˆ2
2
2
p
Xn
245.3348
93.696.1221
21
nnXXP
61.0
331
481
754.245.
021.27.
11
21
2121ˆˆ
nn
PPpp
QP
Z
Two Sample TestTest and CI for Two Proportions
Sample X N Sample p1 13 48 0.2708332 7 33 0.212121
Difference = p (1) - p (2)Estimate for difference: 0.058712195% CI for difference: (-0.129063, 0.246487)Test for difference = 0 (vs not = 0): Z = 0.61 P-Value = 0.540
As p value is greater than α = 0.05 therefore do not reject the null hypothesis. Both the samples satisfy the null hypothesis.
Confidence Interval to Estimate P1 - P2
We get:
Which is same as given by Minitab Solution i.e.95% CI for difference: (-0.129063, 0.246487)
nqp
nqp
ppPPnqp
nqp
pp ZZ2
22
1
11
21212
22
1
11
21
ˆˆˆˆˆˆ
ˆˆˆˆˆˆ
245.0126.021 PP
Limitations of the study
Drawing descriptive or inferential conclusions from sample data about a larger group.
The study has limitation as the data were collected only form urban customers so the results cannot be generalized to pan India population.
The data has mainly been collected from respondents from age groups of 19 to 35 years and cannot be generalised for whole population.
Responses did not cover all banks providing the survey which may result in not revealing the true picture.
Further Scope of the study
The sample size could be increased to give more accurate results.
A cross-regional research could be done to cover Pan India which would help in achieving a better picture.
Data from all age groups can be collected.
Data covering all banks providing the service can be included in the research.
In depth analysis can be done by including more parameters in research earlier constrained due to time limitation.
Thank you