Type I Error and Type II Error- Definition, 10 Differences, Examples

Type I Error and Type II Error with 10 Differences

Image Source: AB Tasty. Type 1 error definition Type 1 error, in statistical hypothesis testing, is the error caused by rejecting a null hypothesis when it is true. Type 1 error is caused when the hypothesis that should have been accepted is rejected. Type I error is denoted by α (alpha) known as an error, also called the level of significance of the test. This type of error is a false negative error where the null hypothesis is rejected based … Read more