Gender Difference in the Use of CC mobile App using T-test

GenderDifference in the Use of CC mobile App using T-test

GenderDifference in the Use of CC mobile App using T-test

Theaim of this paper is to demonstrate the use of statistics t-test asdemonstrated in class. Data was modeled and used to determine thedifference means between two groups (females and males) when it comesto the use of CC mobile app. The researcher sought to find outwhether there was gender difference regarding participants’ use ofthe CC mobile app. The aim was to find out whether boys and girlsvaried in terms of the time (in hours per week) when it comes totheir use of the CC mobile app. In the modeling, it was assumed thatthere were a total of 100 university students (50 boys and 50 girls)who served as the study subjects: 50 percent boys and 50% girls. Again, the emphasis was on demonstrating the use of statistics t-testas demonstrated in class.

Thehypothesis (H1) and null hypothesis (Ho) were as follow:

H1:There is a difference in means (hours per week) between boys andgirls when it comes to the use of the CC mobile app i.e., (H1):μ1≠μ2

Ho:There is no difference in time (hours per week) between boys andgirls when it comes to the use of CC mobile app i.e., (H0):μ12

DataAnalysis

Thet-test statistics was used to examine whether boys and girls differedwith regard to time (hours per week) they spent using the CC mobileapp. The significant level was set as 0.05.

Results

Fromthe results, the p-value (0.189197)is greater than 0.05. as such, the null hypothesis that there is nodifference in means of hours spend using the CC app is not rejected.This suggests that is likely that there are no differences in time(hours per week) between boys and girls when it comes to the use ofCC mobile app. This result indicate that there is no significantdifference between boys and girls when it comes to their use of theCC mobile app since p-value (0.189197)is greater than 0.05. As such, girls and boys do not differ in termsof their use of the CC mobile app as revealed in the analysis of thetime they use on the CC app.

Girls

Boys

Time in hours (means)

Time in hours

52

67

Week 1

62

82

Week 2

46

54

Week 3

P-value

0.189197

92

74

Week 4

55

63

Week 5

69

87

Week 6

37

65

Week 7

Table1: t-test for means of hours boys and girls use the CC mobile app

Conclusion

Statistical-testwas used as it allowed the researcher to examine whether there wasgender difference when it comes to the use of the CC mobile app. Theprobability (p-value) was used to determine the likelihood ofobtaining the results by chance (i.e., whether indeed the nullhypothesis (i.e., no difference in time spend on using the CC app)were true. For this study, the null hypothesis that there was nodifference between boys and girls was not rejected. As such, nostatistically significant difference between boys and girls was foundsince the p-value (0.189197)was found to be greater than 0.05. This confirms that t-test issuited for determining the differences in means between two groupsand that t-test is suitable when it comes to comparing two groups