STAT-2126EL Lecture Notes - Lecture 14: Type I And Type Ii Errors, Null Hypothesis, Normal Distribution
Document Summary
Type i error rejecting the null hypothesis when you should have failed to reject the null hypothesis (= ) Type ii error failing to reject the null hypothesis when you should have rejected the null hypothesis (= ) Reduce confounds and variability, and extraneous variables. More control you have over the variability the better it will be. Example steps: state null hypothesis, state alternative hypothesis, find critical region (math, collect data and compute test statistic, make decision (therefore statement) All or nothing decision based on critical region.