Type 1 and Type II Errors
The fundamental goal of research aims at testing the truthfulness of the null hypothesis. However, type 1 and type 2 errors may result from the process of testing the hypothesis. These errors negate the results of the study, consequently; this means that the results do not reflect the true condition. Type 1 error results from rejecting a true null hypothesis, while type 2 error results when a false-null hypothesis is accepted. For example, supposing that the research hypothesis is that drug A improves brain capacity for schizophrenia patients above 60 years. If a study is conducted to establish whether drug A is ...
