A researcher wants to know if studying improves scores and decides to set up a hypothesis test with alpha equal to 0.05. They randomly select students who study before tests, and compare the sample grade average against the average test score of all students nationwide. In the end the researcher determines that the sample average had a 0.08 probability of occurring if the null hypothesis is true. What should the researcher conclude, and what type of error might they be making? Do not reject the null: Type I error. Do not reject the null: Type II error. Reject the null: Type I error. Reject the null: Type II error.