The Basics. Introduction -- Application to Process Control -- Process Examples -- Characteristics of Data -- Probability Density Function -- Presenting the Data -- Sample Size -- Significance Testing -- Fitting a Distribution -- Distribution of Dependent Variables -- Commonly Used Functions -- Selected Distributions -- Extreme Value Analysis -- Hazard Function -- CUSUM -- Regression Analysis -- Autocorrelation -- Data Reconciliation -- Fourier Transform -- Catalogue of Distributions. Normal Distribution -- Burr Distribution -- Logistic Distribution -- Pareto Distribution -- Stoppa Distribution -- Beta Distribution -- Johnson Distribution -- Pearson Distribution -- Exponential Distribution -- Weibull Distribution -- Chi Distribution -- Gamma Distribution -- Symmetrical Distributions -- Asymmetrical Distributions -- Amoroso Distribution -- Binomial Distribution -- Other Discrete Distributions -- Appendix 1: Data Used in Examples -- Appendix 2: Summary of Distributions.