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What are Errors of type I and II?
Type I error can be defined as a type of a statistical method which involves showing the rejection of a null hypothesis which is actually correct and true. Type I errors are the incorrect result in a true or correct outcome.
Type II error on the other hand can be defined as a type of statistical method which involves showing the acceptance of a null hypothesis that is actually not correct or false. This type of error also gives the incorrect result for a correct outcome or correct result.
Both Type I and type II errors are avoidable, but the interrelation to these two types of errors come into existence when the probability of any error is decreased, then the probability of the other error increases by itself. Furthermore, it can be said that when all the constants are same, then the probability of type II error will always keep increasing.
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