Statistical / Empirical Models

Ph2M       SEP-2  Developing & Using Models          CCC-4  Systems & System Models

Statistical models enable scientists to summarize vast amounts of data succinctly, identify patterns and relationships, and test hypotheses with precision. By incorporating various statistical methods, such as regression analysis, chi-square tests, and t-tests, researchers can rigorously evaluate the significance of their findings and control for variability. This leads to more accurate predictions and generalizations, enhancing the reliability of scientific conclusions. Moreover, statistical models facilitate the communication of results through clear, quantifiable measures, making scientific research more transparent and reproducible. In fields ranging from medicine to environmental science, the application of statistical models is essential for advancing knowledge, guiding policy, and driving innovation.

Statistical models use statistics such as: