1. is the area of the distribution that the researcher considers too extreme to be representative. a. Alpha b. Skewedness c. Standard deviation d. variance 2. When your experimental manipulation is too weak to push the experimental group's mean beyond what would occur by chance alone, it's also known as: a. P-hacking b. Test of non-significance c. Type I Error d. Type 2 Error 3. For your p value to be truly different (and study significant), it should be Talpha. a. Greater than b. Equal to c. Less than d. More significant than.