When comparing groups, researchers need to think carefully about how they set up the study. Decisions about how participants are selected, how groups are formed, and what data are collected all influence the type of statistical test that can be usedand whether the results can be trusted. Read the following scenario: An HR team wants to know if a new onboarding process improves employee performance. They randomly assign half of their new hires to go through the standard process and the other half to try the new process. After 60 days, they compare average performance scores between the two groups to see if the new approach made a difference. Based on the scenario above, respond to the following: Why is random assignment important in this situation? What kind of data are being collected, and what do they allow the team to compare? How could poor sampling or unclear group assignment affect the type of test used or the accuracy of the results