BO 200 – Statistical Data Analysis Through JMP Software – 2 days
Introduction
This is an introductory training for both new users to JMP and those existing users who would like to fully utilize the available features and tools of JMP. Our instructors deliver critical JMP knowledge and helpful tips using a combination of expertly designed lectures and software demonstrations, question-and-answer sessions and hands-on computer workshops for an interactive learning experience. With the combination of software and training, you’ll have everything you need to make one dynamic discovery after another.
Learn how to
• Navigate the JMP interface
• Manage data effectively in JMP
• Explore data by using JMP software’s extensive graphical capabilities
• Perform numerical and graphical analysis
• Interpretation of analysis results
• Create and manage reports in JMP.
Training Approach
This practical course combines classroom teaching, practical exercises, and group discussion with actual factory based projects to provide a complete action learning experience. The course has been designed to enable all participants leave the training room with a set of new knowledge, tools, skills and direct experience of how to use JMP software for statistical quality analysis in a real company setting.
Prerequisite: Nil
Training facilities: Computer Installed with JMP Software and LCD projector
Course contents
DAY ONE
Section 1 : Introduction to JMP software
• Basic features of JMP
• Modeling types
• Overview of data table properties
• Navigating with JMP software
• Data table, report, project, and journal
• Row and column properties
• Importing data with JMP
• Assign formula
• Reporting and presenting results
• Case study and assignment
Section 2 : Data Exploration & manipulation
• Bivariate analysis
• Y by X platform
• Mosaic plot, Bar chart, line plot and contingency table
• Introduction to distribution menu
• Histogram & box-plots
• Cumulative distribution function plot (CDF)
• Mean, variability, outliers and shape of distribution
• Interaction between graph and data table
• Distribution menu & fit distribution
• Interpretation of quantile box plot
• Stem and leaf plot
• Case study and assignment
DAY TWO
Section 3 : Graphical analysis
• Powerful graph builder and tabulate function
• Pareto chart
• Ishikawa diagram for root cause analysis
• Bubble plot
• Multivariate analysis
• Overlay plot
• Time series plot
• Scatter plot
• Interpretation of graph and analysis results
• Case study and practical assignment
Section 4 : Statistical Process Control chart and process capability study
• Introduction to control chart functions
• Variable chart such as IR chart, Xbar R and S chart
• Attribute control chart such as p chart, u chart, c and np chart
• Chart pattern detection function
• Process capability study.
• Case study and practical assignment
Who should attend: Managers, engineers, executives and supervisors who will use JMP software to perform statistical data analysis for process and quality improvement.
Delivery: Classroom lecture, hands-on practice, assignments and case studies.
Duration: 2 days (9am – 5pm)