In: Statistics and Probability
Many teens have posted profiles on a social networking website. A sample survey in 2007 asked a random sample of teens with online profiles if they included false information in their profiles. Of 170 younger teens (aged 12 to 14), 117 said “yes.” Of 317 older teens (aged 15 to 17), 152 said “yes.”
C) Do the data give good reason to think there is a difference between the proportions of younger teens and older teens who include false information in their online profiles? Use a significance level of 0.10. Be sure to define the population parameters and state your hypotheses.
Ho:   p1 - p2 =   0  
       
Ha:   p1 - p2 ╪   0  
       
          
       
sample #1   ----->  
experimental      
   
first sample size,     n1=  
170          
number of successes, sample 1 =     x1=  
117          
proportion success of sample 1 , p̂1=  
x1/n1=   0.6882      
   
          
       
sample #2   ----->   standard  
       
second sample size,     n2 =   
317          
number of successes, sample 2 =     x2 =
   152      
   
proportion success of sample 1 , p̂ 2=   x2/n2 =
   0.479      
   
          
       
difference in sample proportions, p̂1 - p̂2 =
    0.6882   -  
0.4795   =   0.2087
          
       
pooled proportion , p =   (x1+x2)/(n1+n2)=  
0.5524          
          
       
std error ,SE =    =SQRT(p*(1-p)*(1/n1+
1/n2)=   0.0473      
   
Z-statistic = (p̂1 - p̂2)/SE = (  
0.209   /   0.0473   ) =  
4.4159
          
          
  
p-value =       
0.0000   [excel formula =2*NORMSDIST(z)]  
  
decision :    p-value<α,Reject null hypothesis
          
   
          
       
Conclusion:   There is enough evidence to say that there
is a difference between the proportions of younger teens and older
teens who include false information in their online profiles
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