1. **State the problem:** We analyze a study comparing brand awareness scores between two age groups of customers who recently purchased EarPods. 2. **Who were the participants?** The participants were customers who recently purchased EarPods and volunteered for the study. 3. **Type of study:** This is an observational study because participants were grouped by their age without any treatment assigned by researchers. 4. **Explanatory variable type:** The explanatory variable (age group: under 30 vs. 30 or older) is a factor of interest, not a treatment variable. 5. **Confidence interval question:** The p-value is 0.0032, which is less than 0.05, indicating a statistically significant difference. Since the group under 30 had a higher mean by 12, the 95% confidence interval for the difference between means will contain only positive values. Answer: yes. 6. **Causation claim:** Because this is an observational study, we cannot claim causation, only association. So, the answer is no. 7. **Considering p-value alone:** It is not good statistical practice to rely solely on the p-value when writing conclusions; other factors like study design and effect size should be considered. Answer: no.