In: Statistics and Probability
According to one survey taken a few years ago, 32% of American households have attempted to reduce their long-distance phone bills by switching long-distance companies. Suppose that business researchers want to test to determine if this figure is still accurate today by taking a new survey of 80 American households who have tried to reduce their long-distance bills. Suppose further that of these 80 households, 26% say they have tried to reduce their bills by switching long-distance companies. Is this result enough evidence to state that a significantly different proportion of American households are trying to reduce long-distance bills by switching companies? Let α = .01. What is the value of the Test Statistic?
Ho :   p =    0.32  
           
   
H1 :   p ╪   0.32  
    (Two tail test)      
   
          
           
   
Level of Significance,   α =   
0.01          
       
Number of Items of Interest,   x =  
20.8          
       
Sample Size,   n =    80  
           
   
          
           
   
Sample Proportion ,    p̂ = x/n =   
0.2600          
       
          
           
   
Standard Error ,    SE = √( p(1-p)/n ) =   
0.0522          
       
Z Test Statistic = ( p̂-p)/SE = (  
0.2600   -   0.32   ) /  
0.0522   =   -1.150
          
           
      
          
           
   
p-Value   =   0.250 [excel formula
=2*NORMSDIST(z)]          
   
Decision:   p value>α ,do not reject null hypothesis
      
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