Question

In: Statistics and Probability

A sample of 800 arthritis patients participate in a test of a new pain reliever. 624...

A sample of 800 arthritis patients participate in a test of a new pain reliever. 624

of the participants rate their pain as ‘substantially reduced’. Give a 95% lower bound

confidence interval for the proportion of arthritis patients whose pain would be

substantially reduced when taking the new pain reliever. Interpret your result.

Solutions

Expert Solution

Level of Significance,   α =    0.05          
Number of Items of Interest,   x =   624          
Sample Size,   n =    800          
                  
Sample Proportion ,    p̂ = x/n =    0.780          
z -value =   Zα/2 =    1.960   [excel formula =NORMSINV(α/2)]      
                  
Standard Error ,    SE = √[p̂(1-p̂)/n] =    0.0146          
margin of error , E = Z*SE =    1.960   *   0.0146   =   0.0287
                  
95%   Confidence Interval is              
Interval Lower Limit = p̂ - E =    0.780   -   0.0287   =   0.7513
Interval Upper Limit = p̂ + E =   0.780   +   0.0287   =   0.8087
                  
95%   confidence interval is (   0.751   < p <    0.809   )

we are 95% confident that true proportion of arthritis patients whose pain would be substantially reduced when taking the new pain reliever will lie within confidence interval


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