Home

Minitab

Haworth offers custom workshops appropriate for members of a quality team, those leading and facilitating process improvement activities such as Lean Six Sigma, and practitioners preparing to adopt process improvement in their respective business functions.

Our workshop places a strong emphasis on hands-on practice on Minitab, this learning approach helps with building the confidence from the very beginning and will learning the fundamentals of important statistical concepts; understand the Minitab navigations, graphs, and statistics functionalities followed by learning advanced concepts of statistical analysis, factorial designs, ANOVA, regressions, etc.

Participants will gain practical exposure to a broad range of graphical and statistical tools to assess if results are on target, explore relationships between variables, and minimize defects using metrics. Statistical principles will be through real-world examples and exercises ― all supported by Minitab Statistical Software.

Key Topics Covered:

Minitab Foundation (Foundational Topic)

Learn data analysis by using Minitab to import data, develop sound statistical approaches to exploring data, create and interpret compelling graphs, and generate results.
Analyze sample real-world data sets to learn to align your applications with the correct statistical tool. Interpret statistical output to reveal problems with a process of improvement.
Learn important statistical concepts, like hypothesis testing and the way to uncover and describe relationships between variables with statistical modelling tools.

Topics include:

Minitab Installation
Minitab Data Types
Importing and Formatting Data
Bar Charts
Histograms
Box plots
Pareto Charts
Scatterplots
Tables and Chi-Square Analysis
Measures of Location and Variation
t-Tests
Proportion Tests
Tests for Equal Variance
Power and Sample Size
Correlation
Linear Regression
ANOVA

Statistical Analysis (Advanced Topic)

Develop skills to successfully evaluate and certify manufacturing systems.
Learn statistical process control and the way these important quality tools can provide the evidence to enhance and control manufacturing processes.
Develop skills to learn when and where to use the varied types of graphs and statistics available in Minitab for your processes.
Learn to utilize important capability analysis tools to judge your processes relative to internal and customer specifications.
The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.

Topics include:

Gage R&R
Destructive Testing
Gage Linearity and Bias
Attribute Agreement
Variables and Attribute Control Charts
Capability Analysis for Normal, Abnormal, and Attribute Data

Factorial Designs (Advanced Topic)

Learn to get a range of full and fractional factorial designs using Minitab’s intuitive DOE interface. Real-world applications demonstrate how the concepts of randomization, replication, and blocking works to build the premise for sound experimentation practices.

Develop skills necessary to properly analyze resulting data to effectively and efficiently reach experimental objectives.

Use Minitab’s customizable and powerful graphical displays to:
• Interpret and communicate experimental results to enhance products and processes.
• Identify critical factors that impact important response variables.