Which of the following is likely to be an effective way to analyze the data?

Running statistical tests on the missed appointment rates is effective for analyzing data because it allows for a quantitative evaluation of patterns, relationships, and trends in the dataset. This approach uses mathematical methods to assess the significance and impact of missed appointments, providing insights such as whether a certain factor contributes to the rates of missed appointments and the overall effectiveness of appointments systems.

Statistical tests can help to transform raw data into actionable insights by determining if observed phenomena are statistically relevant or merely due to chance. This scientific rigor enhances the credibility of the conclusions drawn, making it the most robust approach among the options provided for analyzing data regarding missed appointments.

In contrast, qualitative feedback, surveys, or social media comments may offer valuable insights and perspectives but are often more subjective and less quantifiable than statistical methods. They can be useful for understanding experiences and sentiments but may not provide the empirical evidence needed to evaluate the effectiveness or identify causal relationships related to missed appointments in a rigorous manner.