Explore BrainMass

Explore BrainMass

    Alpha and Error in Statistical Tests

    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    If we decrease the level of significance a (alpha) from 0.05 to 0.01, that means we are:

    A. More willing to accept a type II error;
    B. More willing to accept a type I error;
    C. Less willing to accept a type I error;
    D. None of the above.

    © BrainMass Inc. brainmass.com June 3, 2020, 8:00 pm ad1c9bdddf

    Solution Preview

    A type I error is a false positive and happens when you reject the null hypothesis when it is, in fact, true. To view it another way, you make a type I error when you ...