Psychology- Research methods helpWatch
Type II error – very stringent significance level (p<0.05) leading to non-significant results when they wouldn’t be if a higher level was used. This is known as a false negative. The researcher wrongly accepts the null hypothesis.
Type I error – a very high/lenient significance level (p>0.05) leading to significant results when they shouldn’t be if a lower level was used. This is known as a false positive. The researcher wrongly rejects the null hypothesis.
Can someone give examples of a type I and II error. I know the 2 types but I don't understand them.