INTERNET MARKETING

Internet Marketing

Internet Marketing

Introduction

The data has been collected through surveys; the questionnaire was distributed among go women belonging from different backgrounds. The different methods used to collect primary and secondary data and helped to use qualitative and quantitative techniques. The data gathered during quantitative research, analyzed through SPSS ((Statistical Package for the Social Sciences). It consist of descriptive analysis, reliability analysis, one way analysis of variables (ANOVA) and correlation.

Descriptive Statistics

Descriptive Statistics refers to the collection, presentation, description, analysis and interpretation of data collection, essentially is to summarize these with one or two pieces of information (descriptive measures) that characterize all the same. Descriptive statistics is the method of obtaining data from a set of conclusions about themselves and do not exceed the knowledge provided by them. It can be used to summarize or describe any group whether it is a population or a sample, when the preliminary stage of statistical inference known elements in a sample.

The table below shows the frequency distribution for the age variable, it can be seen that the data is normally distributed. We have taken the age group from 18-65, which were further divided into five class intervals. The frequency table shows that each group has equal number of frequencies. On the basis of these results it can be said that the average of the respondents were around 33 to 40, this shows that respondents of the survey were mature enough to understand the questionnaire.

Age

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

18 to 25

10

20.0

20.0

20.0

26 to 32

10

20.0

20.0

40.0

33 to 40

10

20.0

20.0

60.0

41 to 50

10

20.0

20.0

80.0

51 to 65

10

20.0

20.0

100.0

Total

50

100.0

100.0

Similarly all the frequency distribution tables have been attached in the appendix which shows the overall picture of the data set. Inferential statistics refers to the process of making generalizations about the properties of all people, based on the specific sample. To these generalizations are valid the sample should be representative of the population and quality of information must be controlled as well as the conclusions drawn and are subject to errors, you must specify the risk or probability that can be committed these errors. Inferential statistics is the set of techniques used to draw conclusions that go beyond the limits of knowledge provided by the data, looking for collective information through a methodical process of managing data of the sample.

Cross Tabulations

Data tabulations are useful for showing a detailed comparison of two or more survey questions and determine how they interrelate. In statistical terms, it is a joint distribution between two (or more) discrete variables such as product usage and demographic information.

The cross-tabulation is named for the table or matrix format established by the arrangement of the definitions of variables in rows and columns.

The rows and columns of the table correspond to the values ??of the first and second variable.

The cells contain the frequency or number of occurrences corresponding pairs of values ??of selected variables.

Reason * ShopOnline Crosstabulation

Count

ShopOnline

Total

Yes

No

Reason

Knowledge

10

0

10

Fun

5

0

5

Shopping

15

20

35

Total

30

20

50

The results in the table above shows the cross tabulation between the two variables i.e. reason to use internet and online ...