BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Type I
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Type I and II
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Type II
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None of these
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Detailed explanation-1: -A type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population; a type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.
Detailed explanation-2: -In the framework of hypothesis tests there are two types of errors: Type I error and type II error. A type I error occurs if a true null hypothesis is rejected (a “false positive”), while a type II error occurs if a false null hypothesis is not rejected (a “false negative”).
Detailed explanation-3: -A type 1 error occurs when you wrongly reject the null hypothesis (i.e. you think you found a significant effect when there really isn’t one). A type 2 error occurs when you wrongly fail to reject the null hypothesis (i.e. you miss a significant effect that is really there).
Detailed explanation-4: -Understanding Type I Errors Type 1 errors – often assimilated with false positives – happen in hypothesis testing when the null hypothesis is true but rejected. The null hypothesis is a general statement or default position that there is no relationship between two measured phenomena.