Background: In an experiment designed to test the truth of a given statement
(often called the null hypothesis), a Type I error occurs if the experiment results in a true hypothesis
being rejected (a "false positive") and a Type II error occurs if a false hypothesis is accepted.
being rejected (a "false positive") and a Type II error occurs if a false hypothesis is accepted.
Type One Error by Madhur Anand
I avoid news, talk to strangers, walk around the block
a thousand times and toss nickels for random samples.
I still get a few false positives. I'm fine. It's good.