The questionnaire set was very simple, thus a significance level of 5% which is strong evidence was chosen. A two-tail hypothesis test was conducted as it is required to find out whether there is different in the population proportion only.
In the test, we just used the question 2: Are you using I Phone? It is because we needed to test the different to boys and girls using. In the bar chart, we used the proportion to show the data, because it can be eased to understand the data.
I.e. (1) =question 1 answer; (2) =question 2 answer
“Are you using I Phone? (Boys)” (A1)
Sample size (n1): 80
“Are you using I Phone? (Girls)” (A2)
Sample size (n2): 80
1) H0 : A1 = A2
2) A5% significance is adopted. So. ∝=0.05,that z= ±1.96
3) Since, we have two sample, so we use the test statistic is
P1 =0.45; p2 =0.64
Pc = 80×0.45+80×0.6480+80 = 0.545
Since -2.413<-1.96 , so we reject H0. It means there is difference of boys and girls to using IPhone.
The chart above shown the result of the importance for Hong Kong people to use iPhone that we can see male has occupied the ratios the most as 75%.The reason for teenagers to buy iPhone because iPhone had occupied the world