Problem 1: Briefly discuss an experimental design that you'd use to explore the relationship between an independent variable (IV) and a dependent variable (DV) of your choosing. Formulate the Null Hypothesis for your study and explain why it's essential to have a Null Hypothesis in research and how it helps us evaluate the impact of our findings.
Problem 2: Imagine you have successfully conducted your study and have collected the data. Identify the appropriate Null Hypothesis test (e.g., t-test, ANOVA, chi-square, etc.) you'd use to analyze the data and justify your selection.
Problem 3: Let's say you obtain a p-value of 0.04. What does this p-value indicate about the Null Hypothesis and its relationship with the IV and DV? How would you interpret this result, and what conclusions could you draw from it?
Problem 4: What about a p-value of 0.06? Explain how this p-value would lead you to make different conclusions than the previous case. Reflect on the significance of this difference and how it influences your research findings.