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Hypothesis testing is an important activity performed in engineering, statistics, and practice-based medicine. Basically, in this testing, the researcher tests a pre-defined hypothesis and tries to uncover the relationship between two variables. An answer to this test is the half solution to any research question. Therefore, you must do it with care. However, there are normally two types of errors that you can encounter while doing this testing. Those are type I and type II hypothesis errors. Do you not know about these errors? Okay, no worries because today's article defines, gives causes and explains