Local courts often rely on statistical data to analyze trends in case resolution, both inside and outside the courtroom. By using various types of data and statistical techniques, courts can gain valuable insights into the functioning of the legal system and make informed decisions for improvement. Central tendency measurements, such as the mean, median, and mode, are commonly used to analyze trends. The mean helps determine the average time to resolve a case, the median provides a more accurate picture when outliers are present, and the mode identifies the most frequent types of cases or outcomes.

Courts should carefully choose which variables to include or omit when collecting data. Key variables to consider include case type, resolution method (e.g., trial, settlement, or mediation), time to resolution, demographic information, case outcomes, and lawyer representation. These variables help courts identify trends, such as the resolution methods most commonly used or whether certain demographic groups experience different outcomes. However, courts should avoid collecting personal identifiers due to privacy concerns, as well as inconsistent or unreliable data that may lead to misleading analysis.

Statistical techniques like regression analysis, trend analysis, and chi-square tests can be used to uncover relationships between variables and track changes over time. For instance, regression analysis can help predict case outcomes based on case characteristics, while trend analysis can highlight changes in the use of alternative dispute resolution methods. Chi-square tests can identify significant associations between case characteristics and resolution methods. By focusing on reliable data and using appropriate statistical methods, courts can improve the efficiency, fairness, and accessibility of the legal process.