Error bars provide a visual representation of the variability or uncertainty in data, outliers can indicate potential errors or unusual data points that may need further investigation, and expected relationships based on other studies can help provide context and insights into the results. Error bars can also indicate the precision of the measurements and the reliability of the results. Outliers may also highlight the need for outlier analysis or additional data validation to ensure the accuracy of the findings. Expected relationships based on other studies can help validate the findings and provide support for the hypothesis or research question being investigated.
