Calculates adjusted test scores by applying various statistical methods commonly known as grade curves. Users input a set of raw scores, along with specified parameters, to determine how those scores should be mathematically modified relative to a group average. The tool processes these data points using different algorithmic approaches—such as standard deviation adjustments or percentile ranking—to generate an adjusted score that reflects performance within the context of the entire class cohort.
Educators and students use this utility when traditional grading scales do not accurately reflect differential performance across a large group. It helps users visualize how shifting the scoring distribution can provide a more equitable assessment of achievement compared to simply using raw scores.