Difference Between Type I And Type II Error (With Examples)
Hypothesis testing is the art of testing if variation between two sample distributions can just be explained through random chance or not. Anytime we make a decision using statistics there are four possible outcomes, with two representing correct decisions and two representing errors. The errors are generally classified as type I and Type II errors. … Read more