Light
The null hypothesis is a statement that assumes there is no significant relationship or difference between variables being studied. It represents what we expect if there is no effect or relationship in reality.
The opposite of the null hypothesis, suggesting that there is a significant relationship or difference between variables.
Type I Error: Rejecting the null hypothesis when it is actually true. It's like convicting an innocent person in court.
Type II Error: Failing to reject the null hypothesis when it is actually false. It's like letting a guilty person go free due to lack of evidence.