Answer :
Answer:
At 5% significance level, larger proportion of military personnel students protect their profiles on social-networking sites than young adults with profiles on social-networking sites.
Step-by-step explanation:
let p be the proportion of military personnel students who restrict access to their profiles. Then null and alternative hypotheses are:
[tex]H_{0}[/tex]: p=0.67 (67%)
[tex]H_{a}[/tex]: p>0.67
We need to calculate z-statistic of sample proportion:
z=[tex]\frac{p(s)-p}{\sqrt{\frac{p*(1-p)}{N} } }[/tex] where
- p(s) is the sample proportion of military students who restrict access to their profiles ( [tex]\frac{78}{100}[/tex] =0.78)
- p is the proportion assumed under null hypothesis. (0.67)
- N is the sample size (100)
Then z=[tex]\frac{0.78-0.67}{\sqrt{\frac{0.67*0.33}{100} } }[/tex] ≈ 2.34
The corresponding p-value is 0.0096. Since 0.0096<0.05 (significance level) we can reject the null hypothesis and conclude at 5% significance level that larger proportion of military personnel students protect their profiles on social-networking sites than young adults with profiles on social-networking sites.