Explain the importance of DOE in developing knowledge of cause and effect.Interpret analysis results for multiple linear regression and binary logistic regression.Fit a simple regression model and interpret the results.Explain the difference between correlation and causation.Describe the impact of sampling and sample size on statistical decision making.Interpret statistical intervals and hypothesis test results.Conduct a capability analysis and interpret Cp, Cpk, Pp and Ppk.Design a measurement system analysis (MSA) and interpret the results of an MSA.Interpret the components of a control chart to determine if a process is stable.Translate analytics results into an actionable decisions and results.Visually and interactively explore data to identify potential root causes of variation.Develop a clearly defined problem statement to translate a business problem into an analytics problem.Explain the importance of using data and applying statistical methods to solve problems.Successful candidates should have the ability to: You can also build other models, such as MANOVA, repeated measures, generalized linear, loglinear variance or logistic regression (nominal and ordinal).During this performance-based examination, candidates will apply the skills and knowledge necessary to apply statistical thinking and fundamental statistical methods to solve industrial problems. The first step in a statistical data inquiry is i. Fit Model lets you construct model terms and select from different methods, including standard least squares fitting, stepwise and all possible models.īuild models with drag-and-drop ease using interactive model editing. Employing basic tools for visual analysis is often the best way to communicate results and motivate action. At the heart of the JMP model-fitting toolkit is the Fit Model platform. Quickly get histograms, summary statistics, box plots and quantiles for continuous data, capability analysis, distribution fitting and frequencies for nominal or ordinal values. In JMP, once you've identified the columns that interest you, the Distribution platform automatically provides graphs and statistics based on the variable's defined modeling type. Graph Builder always gives you options that make sense for your situation. Simply drag the variables into position, choose the graph element from an icon palette, and customize the display to get your final, publication-quality result. Interactively build simple or complex graphical displays, just by dragging and dropping. Graph Builder is the best way to begin exploring and graphing your data dynamically. So joining is no longer a laborious process – it becomes automatic. Using this JMP platform, you specify only the primary table and one or more secondary tables, and Query Builder automatically matches foreign keys in the primary table to primary keys in the secondary tables. JMP helps you tackle your routine and difficult statistical problems.įrom easily accessing your data from various sources, to using quick, reliable data preparation tools, and performing choice statistical analyses, JMP lets you get the most out of your data in any situation. Users leverage powerful statistical and analytic capabilities in JMP to discover the unexpected. JMP is the data analysis tool of choice for hundreds of thousands of scientists, engineers and other data explorers worldwide.
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