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A Study on Internet Usage for Personal (non-Professional) Reasons

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A study on Internet usage for personal (non-professional) reasons.

Data set ‘Case 1’ contains data for 30 respondents giving the gender (1 = male, 2 = female), familiarity with the Internet (1 = very unfamiliar, 7 = very familiar), Internet usage in hours per week, attitude towards the Internet and towards technology, both measured on a seven-point scale (1 = very unfavourable, 7 = very favourable), and whether the respondents have done shopping or banking on the Internet (1 = yes, 2 = no).

Analyse the data for answering the following research questions. Frame the required objectives and hypothesis for the study. Prepare a research report completing the sections 4, 5 and 6 of the reporting template provided.

Research questions:

Can the respondents be said to be familiar with internet?

Is there a significant difference among men and women on Internet usage?

Does attitude towards the Internet is significantly different from attitude towards technology?  

  1. Objective- To find out if there is familiarity on internet and one sample t-test is done.
  2. Choice of the tool- We need to find if the mean value of the familiarity is above the mid value of a scale measured from 1 to 7 which is equal to 4.
  3. Frame the Hypothesis-

For the test, the following hypotheses are framed:

  1. Ho= Mf = 4- The null hypothesis is the mean familiarity is not different from 4.
  2. Ha= Mf # 4- The alternate hypothesis is the mean familiarity is different from 4. (Not equal to 4)

Mf- Mean Familiarity

Ho- Null Hypotheses

  1. Refer and present the tables:

The results of 1 Sample T Test are presented in Table 1 & 2.

Table 1- One Sample Statistics

One-Sample Statistics

N

Mean

Std. Deviation

Std. Error Mean

Familiarity

29

4.72

1.579

.293

Table 1 shows the Sample Statistics:

It is found from the table that the mean value is 4.72.

Since the mean value is above the test value of 4, we can say that there is a familiarity on internet among the respondents. However, to check if there is significant difference, the statistics from Table 2 are analyzed.

Table 2- One Sample Test

One-Sample Test

Test Value = 4

t

df

Sig. (2-tailed)

Mean Difference

95% Confidence Interval of the Difference

Lower

Upper

Familiarity

2.470

28

.020

.724

.12

1.32

From Table 2 it is found that, t (28) = 2.470, P= 0.020

Since P value is less than 0.05, significance is found, therefore we reject the null hypotheses that the mean familiarity = 4 or not different from 4 and accept the alternative hypotheses that mean difference is different from 4.

        Therefore, we conclude that there is familiarity on internet in the population.

        

  1. Present and number the table.
  2. Describe & infer the table.
  3. Hypotheses testing
  4. Conclusion

Q.2 Is there a significant difference among men and women on Internet usage?

To find out if there is a significant difference among men and women on Internet usage.

Independent samples t-test was done. Since there is a difference on the dependent variable (Internet usage in Hours), by the independent variables (groups of respondents by genders), an independent samples t-test was performed.

Hypothesis:

Ho- There is no difference between the internet usage among men and women.

Ho- Meu-m = Meu-f

Ha- There is a significant difference on the Internet usage between men and women.

Ha- Meu-m # Meu-f

The results of the independent samples t-test are presented in the Tables 1 & 2.

One-Sample Statistics

N

Mean

Std. Deviation

Std. Error Mean

Familiarity

29

4.72

1.579

.293

From Table 1, it is seen that the mean value for the internet usage among males is 9.33 and among females is 3.87. Since the mean value for Men (Meu-m) is greater than the mean value for women, we can say that there is a difference in the Internet usage between the genders, To verify that there is a significant difference, results from table 2 are analysed.

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