MCQ IN COMPUTER SCIENCE & ENGINEERING

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: -A Type I error means rejecting the null hypothesis when it’s actually true. It means concluding that results are statistically significant when, in reality, they came about purely by chance or because of unrelated factors. The risk of committing this error is the significance level (alpha or ) you choose.

Detailed explanation-3: -A type II error does not reject the null hypothesis, even though the alternative hypothesis is the true state of nature. In other words, a false finding is accepted as true.

Detailed explanation-4: -When a null hypothesis is not rejected, it is correct to say that there is no possibility of making a Type I error. A Type I error can only occur when a researcher chooses to reject the null hypothesis. The type of error which can occur when a null hypothesis is not rejected, is called the Type II error.