What is the null hypothesis significance test?
The null hypothesis is the oposite to the true hypothesis. Basically you can’t test the true hypothesis so we go for the null. If your hypothesis is: ” Dogs bite”. Then your null is “Dogs doesn’t bite”. As I told you you don’t test your true hypo at all. Just look for evidence to support your null. If you find evidence supporting the null it is significant and your true hypothesis is rejected. Of course you have to use statistical evidence for this so is not that simple. If the statistical probability of the null being false is less than (.05) 5% then we are 95% confident that it is true.
