Decide whether the following scenarios are example of type 1 error or type 2 error or neither?  Use the traditional 0.05 cut-off for statistical significance.  A study was conducted to determine whether workers exposed to benzene were more likely to get leukemia compared to other workers. In reality, benzene does cause leukemia. The study finds that 4% of workers exposed to benzene developed leukemia, while only 1% of other workers developed leukemia. The p-value for these differences was 0.02.        Type 1 error     Type 2 error      Neither

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Decide whether the following scenarios are example of type 1 error or type 2 error or neither?  Use the traditional 0.05 cut-off for statistical significance. 

A study was conducted to determine whether workers exposed to benzene were more likely to get leukemia compared to other workers. In reality, benzene does cause leukemia. The study finds that 4% of workers exposed to benzene developed leukemia, while only 1% of other workers developed leukemia. The p-value for these differences was 0.02. 

 

   

Type 1 error

   

Type 2 error 

   

Neither

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