This is why i hate stats.......
 

Type II error

Type II error, also known as an "error of the second kind", a β error, or a "false negative": the error of failing to reject a null hypothesis when the alternative hypothesis is the true state of nature. In other words, this is the error of failing to observe a difference when in truth there is one. This type of error can only occur when the statistician fails to reject the null hypothesis.:Oh crap:helpme

Im totally lost :( can you break that down to help me :(

I can't see your meaning.

Fucked up wording, but...

So he's saying this specific type of error ocurrs when the statistician doesn't spot a difference somewhere in the numbers, and there actually is one.

Don't ask me wtf the null hypothesis is though :helpme