In: Statistics and Probability
10. HYPOTHESIS ABOUT DIFFERENCE IN PROPORTIONS
Suppose the Acme Drug Company develops a new drug, designed to prevent colds. The company states that the drug is less effective on seniors than on children. To test this claim, they choose a simple random sample of 80 seniors and 70 children. At the end of a whole year, 16 of the seniors caught a cold; and 11 of the children caught a cold. Based on these findings, can we conclude that the drug is less effective for seniors than for children? Use a= 0.05 level of significance.
Ho:   p1 - p2 =   0  
       
Ha:   p1 - p2 >   0  
       
          
       
sample #1   ----->      
       
first sample size,     n1=  
80          
number of successes, sample 1 =     x1=  
16          
proportion success of sample 1 , p̂1=  
x1/n1=   0.2000      
   
          
       
sample #2   ----->      
       
second sample size,     n2 =   
70          
number of successes, sample 2 =     x2 =
   11      
   
proportion success of sample 1 , p̂ 2=   x2/n2 =
   0.1571      
   
          
       
difference in sample proportions, p̂1 - p̂2 =    
0.2000   -   0.1571   =  
0.0429
          
       
pooled proportion , p =   (x1+x2)/(n1+n2)=  
0.1800          
          
       
std error ,SE =    =SQRT(p*(1-p)*(1/n1+
1/n2)=   0.06288      
   
Z-statistic = (p̂1 - p̂2)/SE = (  
0.043   /   0.0629   ) =  
0.6816
          
       
z-critical value , Z* =       
1.6449   [excel function =NORMSINV(α)]  
   
p-value =       
0.2477   [excel function =NORMSDIST(-z)]  
   
decision :    p-value>α,Don't reject null hypothesis
          
   
          
       
Conclusion:   There is not enough evidence that the drug
is less effective for seniors than for children   
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