STATISTICAL ANALYSIS

Usage of Smart Phones

Usage of Smart Phones

Introduction

The study is related to the usage of smart phones. The research study will focus of the factors that affect the mobile phone market due to the smart phones. In this context, the research study will especially focus on the gender, age, type of smart phone, downloading of the data, sending and receiving of the SMS and the talk time. Therefore, through these factors, it will be easy to work on the concern that is usage of smart phone and the change that is taking place in the mobile phone market.

Research Questions

- With the introduction of smart phones to the mobile phone market, the increase in data downloading led to decreased usage of other more traditional uses of mobile phones; such as SMS sending/ receiving and speaking?

- What factors other than data downloading influence the amount of time users spend speaking on smart phones?

Hypothesis

H 1 : There is a relationship between SMS sending and data downloading.

H 2 : There is a relationship between SMS receiving and data downloading.

H 3 : There is a relationship between speaking on phone and data downloading.

H 4 : Gender is a factor in determining talk time on smart phones.

H 5 : Type of phone affect the talk time.

Variables

The variables that are used in the study are mentioned below;

- GENDER = Gender of the customers

- AGE = Age of the customers

- PHONE = Type of phone used by the customers that is Android, IPhone, Blackberry and other

- DATA = Weekly data usage in megabytes downloaded

- SMSSent = The number of SMS sent from the phone weekly by the customers

- SMSReceived = The number of SMS received on the phone weekly

- TALK = The amount of time in minutes the customer spends on the phone per week

Descriptive Statistics

N

Range

Minimum

Maximum

Sum

Mean

Std. Deviation

Variance

Gender

200

1

0

1

96

.48

.501

.251

Age (years)

200

38

22

60

7188

35.94

7.015

49.212

Type of Phone

200

3

0

3

189

.95

1.057

1.118

Valid N (list wise)

200

The total participants that are customers who use the smart phones are 200. The result of the descriptive table is showing the mean of the variables that are used in analyzing the data. The most important values of the above table is the means and the standard deviation of the variables which are important to study as these values are providing the accuracy of the data which has been gathered from the customers. From the above table, it is observed that the mean age of the customers is 35 years and on the average the type of phone that is used by the customers is iphone among the Android, iphone, back berry and other.

H 1 : There is a relationship between SMS sending and data downloading.

Descriptive Statistics

Mean

Std. Deviation

N

Weekly number of single SMS sent

18.65

13.624

200

Weekly data usage (MB)

99.36

55.852

200

Model Summary b

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

Change Statistics

R Square Change

F Change

df 1

df 2

Sig. F Change

1

.838 a

.703

.701

7.450

.703

467.616

1

198

.000

a. Predictors: (Constant), Weekly data usage (MB)

b. Dependent Variable: Weekly number of single SMS sent

ANOVA b

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

25951.156

1

25951.156

467.616

.000 a

Residual

10988.344

198

55.497

Total

36939.500

199

a. Predictors: (Constant), Weekly data usage (MB)

b. Dependent Variable: Weekly number of single SMS sent

The above charts are showing that the significant value of ...