Question

what do you mean by statistical errors.mention any two types of errors.​

Answer 1

Answer:

Explanation:

In statistical analysis, a type I error is the rejection of a true null hypothesis, whereas type II error describes the error that occurs when one fails to reject a null hypothesis that is actually false. The error rejects the alternative hypothesis, even though it does not occur due to chance.

Answer 2

Answer:

A statistical error is the (unknown) difference between the retained value and the true value. Context: It is immediately associated with accuracy since accuracy is used to mean "the inverse of the total error, including bias and variance" (Kish, Survey Sampling, 1965). The larger the error, the lower the accuracy.

There are three types of error: syntax errors, logical errors and run-time errors. (Logical errors are also called semantic errors).