1. What is the relationship between the alpha and the p value, when related to hypothesis testing (Le. rejecting Ho)? 2. When two samples with different means have large variability, there is a good chance for Type 2 error to occur. Please explain why? 3. When we decide to lower the alpha level from .05 to .01, how is that affecting the accuracy and the precision of the results? 4. What does it mean when we reject Ho at .05? (Please in your explanation go beyond \"the differences between the two means are statistically significant) 5. If you as a researcher want to make sure that you do not commit type 1 error in your study, what would you do