A Study on Internet Usage for Personal (non-Professional) Reasons
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?
- Objective- To find out if there is familiarity on internet and one sample t-test is done.
- 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.
- Frame the Hypothesis-
For the test, the following hypotheses are framed:
- Ho= Mf = 4- The null hypothesis is the mean familiarity is not different from 4.
- Ha= Mf # 4- The alternate hypothesis is the mean familiarity is different from 4. (Not equal to 4)
Mf- Mean Familiarity
Ho- Null Hypotheses
- 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.
- Present and number the table.
- Describe & infer the table.
- Hypotheses testing
- 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.