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This document outlines the principles and processes of hypothesis testing, emphasizing its role in identifying root causes over merely alleviating symptoms in problem-solving. It discusses building transfer functions and the importance of statistical tests for determining the influence of various factors on outcomes. Additionally, it covers the practical application of confidence intervals and tests for equal variances, providing guidance on selecting appropriate statistical tests based on data types.








