With valid supportive citations and reference list in APA format, respond to the colleague's posts below and explain how you might see the implications differently: Confidence Intervals, Sample Size, and Confidence Levels The study used SPSS and GSS datasets to analyze the relationship between confidence levels and sample size, specifically the Age of Respondent variable. Results showed that confidence interval width is inversely related to sample size, with larger samples resulting in narrower intervals. Underutilization of Confidence Intervals Confidence intervals are underutilized in research and decision-making, leading to overconfidence in results. Using a confidence interval (47-50 years) provides a more responsible framework for age-sensitive programs, particularly in resilience research and trauma-informed policy development. This enhances interpretation and promotes transparency. Conclusion Confidence intervals reveal statistical estimates' strengths and limitations, promoting caution and decision-making. They balance precision and confidence, useful in trauma research and policy development