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More nonsense. Type II errors are always present if you use a sample.

Instead of seeking to reject the null hypothesis which is logically all we can hope to do, DBT using same/different seeks to reject the original hypothesis that there are differences. Ones sample always has a probability of reflecting or not reflecting what is true in the population. The only way to reduce both type I and type II errors is to use a big sample. A sample of 2500 or even 1000 is never been used DBTs.


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