[3 pts] 4. Consider the following scenarios. Decide whether a Type I or Type II error is occurring and identify the type of bias that may have contributed to the error. Each type of bias will only be used once: availability bias, confirmation bias, historical bias, selection bias, survivorship bias. a. Researchers are studying the effectiveness of a new biopesticide on crop yields, and the team strongly believes that it will increase crop yields. The researchers conduct a one-sided test and conclude that the biopesticide does not significantly affect crop yields, despite several farmers in tropical climates reporting decreased yields while using the biopesticide. ☐ Type I ☐ Type II Type of bias: b. In a test to determine whether a vaccine was causing blood clots, the sample did not include additional potential causative factors correlated with the patient's risk of developing blood clots. The analysis found the vaccine caused blood clots. Type I Type II Type of bias: C. A consulting firm is evaluating the effectiveness of flood resilience strategies in a local business district. One year after a major flooding event, they survey the remaining businesses that are operating in the district. The firm concludes that the flood resilience strategies are effective, noting that all the operating businesses did not experience major flood damage and have remained open. ☐ Type I Type II Type of bias: 2