1. A Kaiser Family Foundation report entitled "The Red/Blue Divide in COVID-19 Vaccination Rates Continues: An Update" was released in 2022. As a public health researcher, this topic is of interest to you. The Foundation's polling found that the COVID-19 vaccination rates continue to be lower in counties that voted for Trump versus counties that voted for Biden in 2020. Using a 0.05 significance level, you want to test the claim that COVID-19 vaccination rates are associated with voting patterns. Based on the data, the p-value corresponding to the test statistic used to test this claim is found to be 0.02. What should you conclude?

1. Because 0.02 > 0.05, we reject H₀ and conclude there is not sufficient evidence to support the claim that vaccination is associated with voting patterns.
2. Because 0.02 > 0.05, we fail to reject H₀ and conclude there is not sufficient evidence to support the claim that vaccination rates are associated with voting patterns.
3. Because 0.02 < 0.05, we reject H₀ and conclude there is sufficient evidence to support the claim that vaccination rates are associated with voting patterns.
4. Because 0.02 < 0.05, we fail to reject H₀ and conclude there is sufficient evidence to support the claim that vaccination is associated with voting patterns.
5. We cannot directly compare 0.02 to 0.05. Instead, we can only compare 0.02 to a critical value which cannot be determined from the information given.