Type 1 error and Type 11 error
A type 1 error occurs when it is infer that a hypothesis is true when in actual sense is false. In other word, an experimental research is considered falsely successful to support a hypothesis. Example is when a patient is wrongly told that he or she has a highly infectious disease when in actual fact is not. Also a driver is punished for no fault according to eye witness reports. In both cases, this in statistical parlance is a false rejection of the null.
Whilst the type 11 error is committed when it is deduced that a hypothesis is false when in actual sense is true. For example, a group of white Caucasians are wrongly classified as Orientals in an ethnic study. Also a negative pregnancy test when in reality the woman is says two months pregnant. This is a false acceptance of the null hypothesis
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