Analyzing and Interpreting Data

Scientific investigations produce data that must be analyzed in order to derive meaning. Because data patterns and trends are not always obvious, scientists use a range of tools—including tabulation, graphical interpretation, visualization, and statistical analysis—to identify the significant features and patterns in the data. Scientists identify sources of error in the investigations and calculate the degree of certainty in the results. Modern technology makes the collection of large data sets much easier, providing secondary sources for analysis.

Computer Models

What can we learn from computer models about human evolution, behavior, and sustainability? Computer models allow us to observe and investigate the influence of environmental conditions and behaviors on the evolutionary development of social-ecological systems.

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