Introduction to the limitations of science as related to data analysis. Key Concepts: Uncertainty is the quantitative estimation of error present in data; all measurements contain some uncertainty generated through systematic error and/or random error.
Acknowledging the uncertainty of data is an important component of reporting the results of scientific investigation.
Uncertainty is commonly misunderstood to mean that scientists are not certain of their results, but the term specifies the degree to which scientists are confident in their data.
Careful methodology can reduce uncertainty by correcting for systematic error and minimizing random error. However, uncertainty can never be reduced to zero.