Engineering Data Analysis2D
Introduction to Data Analysis - Theory & Concepts - Engineering Data Analysis Bias Precision
Overview of statistics in engineering, data collection methods, observational studies versus experiments, and sampling techniques.
Open the complete lessonEngineering Data Analysis • Topic 1
Bias vs. Precision Target Visualizer
Bias (Systematic Error)Low
Centred (Accurate)Highly Biased
Precision (Random Error)High (Tight Cluster)
Broad SpreadTight Cluster
Concept Summary
• Accuracy (Low Bias): The average of the measurements is very close to the true value (the bullseye).
• Precision: The degree to which repeated measurements show the same results (tightness of the grouping), regardless of whether they are correct.