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Probability and Statistics for Scientists and, Introduction to fundamental probabilistic and, for application to engineering and science for, Model population to mathematically describe, Describe data numerically and graphically, Make inference about underlying population, The term probability refers to the study of, The Theory of Probability provides methods for, First, there is a question of what we mean when, Then, there is the question of how to obtain, Define the problem and formulate an objective, Identify the analysis options for accomplishing, Perform the analysis and draw conclusions, Present the analysis results, both technically, Formulate possible alternates for solving the, The Role of the People involved in the Analysis, Determine Analytic Methodology (to include DOE), Determine tool(s) to execute the methodology, Define the Problem againbecause you didnt do, First find out what the question is - then find, Perfectly right answer to the totally wrong, In the initial problem formulation iteration, it, Explicit problem formulation must precede, Buy into the Problem and Solution Approach, Must understand analysis - what it can/cannot do, Must put himself/herself in the D.M.s shoes, What the MOEs( Measures of Effectiveness) are, Restrictions or constraints on the variables, Objectives for defining a good or improved, Confines of the analysis - multifold impacts, Decision Objectives - goal of the decision, Rices Method (from Dr. Bill Lesso, University of, Step 1 Problem Definition is the most critical, Problem Definition is an iterative process.
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