BO 201 – Hypothesis Test, ANOVA and Regression Analysis – 2 days
Introduction :
This course is designed for those existing users who would like to fully utilize the available features and tools of JMP. This course covers analysis of data with a single or multiple continuous response variable using analysis of variance and regression methods. Important statistical concepts such as confidence intervals, power and sample size, p-value, lack of fit, correlation, etc. are also introduced.
Learn how to:
• compare two means using a t-test
• generate and interpret an analysis of variance to compare more than two means
• analyze relationships between continuous variables using simple and multiple linear regression models
• perform an analysis of covariance to incorporate continuous predictors
• Evaluate assumptions in statistical hypothesis testing.
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: Statistical Data Analysis Through JMP software
Training facilities: Computer installed with JMP software and LCD projector
Course contents :
DAY ONE
1. Introduction to comparative experiment (hypothesis test)
• Introduction to statistics
• Inferential and descriptive statistics
• Basic concepts and understanding of hypothesis test
• Steps to perform hypothesis test
• Introduction to p-value
• Applications of comparative experiment
2. Comparing Mean
• JMP functions for hypothesis test
• Power and sample size analysis
• One sample t test and z test
• Two samples t-test
• Tests for Equal Variance
• Paired t-test and its application
• Nonparametric test
• Interpretation of results
• Practical case study and assignment
3. Analysis of Variance (ANOVA)
• Basic concepts and understanding
• JMP functions for ANOVA
• One way vs two way ANOVA
• Two way ANOVA with multiple responses
• Compare means : Tukey HSD & Dunett-test
• Balanced ANOVA vs General Linear Model
• MANOVA
• Main effect and interaction plot
• Interpretation of results
• Practical case study and assignment
DAY TWO
4. Correlations and Multivariate Analysis
• Correlations multivariate
• Inverse correlations and partial correlations
• Pairwise correlations
• Scatter plot matrix
• Outlier analysis
• Interpretation of results
• Practical case study and assignment
5. Regression analysis
• Simple Regression
• Polynomial Regression
• Visualizing the least squares estimates
• Fitting model to continuous data
• Fitting a multiple regression model with interactions
• Eliminating one predictor at a time to build a better model
• Generating and comparing candidate models
• Interpretation of results
• Practical case study and assignment
Who should attend: Managers, engineers, executives, researchers and six sigma practitioners who will use JMP software to perform ANOVA and regression analysis for process and quality improvement.
Delivery: Classroom lecture, hands-on practice, simulation game, assignments and case studies.
Duration: 2 days (9am – 5pm)
