psy 550 final exam with answers graded A+

For each of the following examples, explain whether the researcher has made a correct decision or has made a Type 1 or Type 2 error. Explain why. 1. Dr. G rejects the null hypothesis although the independent variable had no effect. 2. Dr. R rejects the null hypothesis when it is false. 3. Although the independent variable had an effect, Dr. E does not reject the null hypothesis 1. Dr. G rejects the null hypothesis although the independent variable had no effect. This problem would be a type I error because there is no proof that shows that the null hypothesis was false. A Type I error is made when the null hypothesis is true and is rejected. Dr. G rejected the null hypothesis without completely knowing if the null hypothesis is false. 2. Dr. R rejects the null hypothesis when it is false. This would be a corrected decision. Again, we reject the null hypothesis if it is false and that is what happened in this scenario. 3. Although the independent variable had an effect, Dr. E does not reject the null hypothesis. This is a Type II error. A type II error happens as a type of false positive. Meaning, that Dr. E failed to reject a null hypothesis that is actually false