Question

what is meant by alpha and beta errors​

Answer 1

The probability of committing a type I error (rejecting the null hypothesis when it is actually true) is called α (alpha) the other name for this is the level of statistical significance. ... The probability of making a type II error (failing to reject the null hypothesis when it is actually false) is called β (beta).

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Answer 2

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• Alpha error: The statistical error made in testing a hypothesis when it is concluded that a result is positive, but it really is not. Also known as false positive.

• Beta error: The statistical error (said to be 'of the second kind,' or type II) that is made in testing when it is concluded that something is negative when it really is positive. Also known as false negative.