Type I vs Type II Errors

Students always wonder why do we reject the null hypothesis when the p-value is less than the level of significance. To understand how hypothesis testing works, students can read more here. So what exactly is type I error?

Level of significance is probability of rejecting the null hypothesis when it is true.

Credits: www.personal.ceu.hu

Credits: www.personal.ceu.hu

From the table above, Type I Error is what we refer to as the level of significance.

    pingbacks / trackbacks
    • […] of significant refers to the P(rejecting H0 | H0 is true) which means is a false positive case here. And p-value is the smallestt level of […]

    Leave a Comment

    Contact Us

    CONTACT US We would love to hear from you. Contact us, or simply hit our personal page for more contact information

    Not readable? Change text. captcha txt

    Start typing and press Enter to search