Manchester, UK 5-7 March
Add-Ons

The following content is available for an additional fee, per day. These presentations occur before or after the main conference.
  • Which Model When?

    Workshop : Pre-conference

    You have a business or research question, you’ve collected or found appropriate data, and you are ready to analyze. But which analytical methods should you try? How will your build your models? Do you need interactions? Polynomials? How will you choose model terms? In this session, we will look at several data scenarios and present modeling options and a framework for comparison. We will look at how different questions or goals affect the modeling choices we make. (Predict? Explain? Find associations?) Models covered will include methods found in the “Fit Y by X,” “Fit Model,” “Predictive Modeling,” “Screening,” “Multivariate Methods,” and “Clustering” menus in JMP.

    Schedule

    Tuesday 5 Mar, 15:00-16:15

    Room

    Whitworth 1
  • DOE: It's as Easy as 1-2-3!

    Workshop : Pre-conference

    This hands-on session is for JMP users who have at least a basic familiarity with design of experiments and would like to learn more about using the Easy DOE platform. Easy DOE provides a workflow framework to assist in the design and analysis of experiments, using either Guided Mode, with prompts and tips at each step, or Flexible Mode, with access to all of the features of JMP’s DOE platforms. The session uses examples to demonstrate both modes in Easy DOE.

    Schedule

    Tuesday 5 Mar, 15:00-16:15

    Room

    Whitworth 2
  • Determining Components of Variation in a Process

    Workshop : Pre-conference

    In this session, we explore how to determine how much variation in your process comes from various sources. The methods are applicable to any process with either controllable or uncontrollable factors, including manufacturing processes, measurement processes, or others. We discuss statistical models containing both random and fixed factors, as well as crossed and nested factors. Next, we design a study to support the model. After collecting data, we highlight special features in Graph Builder to visualize these sources of variation. Finally, we discuss how to interpret the model results and what those results mean for process improvement or control.

    Schedule

    Tuesday 5 Mar, 15:00-16:15

    Room

    Whitworth 3
  • Getting Your Organization Up to Speed with JMP®

    Workshop : Pre-conference

    Whether you have brand-new JMP users who need to learn how to use the software, experienced users who need to learn advanced analytical techniques or automation with scripting, or you want to start an internal training program, JMP Education offers myriad learning resources. This session provides an overview of available resources and how best to take advantage of them, as well as current strategies for incorporating the materials into a training program. The session concludes with an informal discussion in which participants can share and brainstorm ideas.

    Schedule

    Tuesday 5 Mar, 16:45-18:00

    Room

    Whitworth 2
  • Design and Analysis of Mixture Experiments

    Workshop : Pre-conference

    In this session, we explore how experimentation on mixtures or formulations is different from usual process experimentation. Mixture factors are unique in that their levels need to add up to 100%. This restriction affects the design of the experiment, data visualization, and the statistical model that is used to analyze the experiment. A case study is used to demonstrate how to design, visualize, and analyze mixture experiments in JMP.

    Schedule

    Tuesday 5 Mar, 16:45-18:00

    Room

    Whitworth 3
  • A Tour of JMP® Capabilities

    Workshop : Pre-conference

    Are you maximizing your use of JMP software? Could there be a feature or tool perfect for your business problem that you aren’t yet using because you don’t know when to use it, or even that it exists? Join us for a tour of the capabilities in JMP, including examples and use-cases to show when and why you might use various JMP platforms. You may discover a new tool or method that could make a huge impact in your business!

    Schedule

    Tuesday 5 Mar, 16:45-18:00

    Room

    Whitworth 1
  • Which Model When?

    Workshop : Post-conference

    You have a business or research question, you’ve collected or found appropriate data, and you are ready to analyze. But which analytical methods should you try? How will your build your models? Do you need interactions? Polynomials? How will you choose model terms? In this session, we will look at several data scenarios and present modeling options and a framework for comparison. We will look at how different questions or goals affect the modeling choices we make. (Predict? Explain? Find associations?) Models covered will include methods found in the “Fit Y by X,” “Fit Model,” “Predictive Modeling,” “Screening,” “Multivariate Methods,” and “Clustering” menus in JMP.

    Schedule

    Friday 8 Mar, 9:00-10:15

    Room

    Clocktower 1
  • DOE: It's as Easy as 1-2-3!

    Workshop : Post-conference

    This hands-on session is for JMP users who have at least a basic familiarity with design of experiments and would like to learn more about using the Easy DOE platform. Easy DOE provides a workflow framework to assist in the design and analysis of experiments, using either Guided Mode, with prompts and tips at each step, or Flexible Mode, with access to all of the features of JMP’s DOE platforms. The session uses examples to demonstrate both modes in Easy DOE.

    Schedule

    Friday 8 Mar, 9:00-10:15

    Room

    Clocktower 4
  • Determining Components of Variation in a Process

    Workshop : Post-conference

    In this session, we explore how to determine how much variation in your process comes from various sources. The methods are applicable to any process with either controllable or uncontrollable factors, including manufacturing processes, measurement processes, or others. We discuss statistical models containing both random and fixed factors, as well as crossed and nested factors. Next, we design a study to support the model. After collecting data, we highlight special features in Graph Builder to visualize these sources of variation. Finally, we discuss how to interpret the model results and what those results mean for process improvement or control.

    Schedule

    Friday 8 Mar, 9:00-10:15

    Room

    Clocktower 6
  • Design and Analysis of Mixture Experiments

    Workshop : Post-conference

    In this session, we explore how experimentation on mixtures or formulations is different from usual process experimentation. Mixture factors are unique in that their levels need to add up to 100%. This restriction affects the design of the experiment, data visualization, and the statistical model that is used to analyze the experiment. A case study is used to demonstrate how to design, visualize, and analyze mixture experiments in JMP.

    Schedule

    Friday 8 Mar, 10:45-12:00

    Room

    Clocktower 6
  • A Tour of JMP® Capabilities

    Workshop : Post-conference

    Are you maximizing your use of JMP software? Could there be a feature or tool perfect for your business problem that you aren’t yet using because you don’t know when to use it, or even that it exists? Join us for a tour of the capabilities in JMP, including examples and use-cases to show when and why you might use various JMP platforms. You may discover a new tool or method that could make a huge impact in your business!

    Schedule

    Friday 8 Mar, 10:45-12:00

    Room

    Clocktower 1
CANCELLATION POLICY: JMP guarantees to run any workshop that has at least four registrations four weeks prior to the date of the session. A full refund is guaranteed up to 24 hours before the workshop begins. No refund after that point.
If you are unable to attend the session for which you registered, please notify us as soon as possible.