Probability distribution is a key Six Sigma tool used to understand the likelihood of different outcomes in a process. It shows how the probabilities of various possible outcomes are distributed and is fundamental for statistical analysis. There are several types, including normal, binomial, and Poisson distributions, each suited for different kinds of data and analysis. By understanding the probability distribution of a process, organizations can predict performance, identify anomalies, and make informed decisions. This tool is critical for risk assessment, quality control, and process improvement, helping to enhance accuracy and reliability in Six Sigma projects.
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