Making a type I or Type II error can have serious consequences. The p-value helps the researcher determine the significance of the study results in relation to the null hypothesis. The p-value is usually set at 0.05, meaning there is a 5% chance that there will be a significant difference once the intervention is implemented. This is to rule out the instances of results that happened because of random chance. For this week, consider your chosen PICOT topic("In children ages, 15- 20 years can early Education on Diabetes Prevention compared to no Education help to prevent Early-onset Type 2 Diabetes?") and discuss how a Type 1 error could occur. Give an example of the type I error you are discussing.

Provide references.