The MINITAB® Guide Designed To Increase the Productivity of Six Sigma/DMAIC Projects
MINITAB Statistical Software is a powerful tool for analyzing data. However, all to often, Six Sigma/DMAIC teams collect and load data into MINITAB only to find themselves overwhelmed by the prospect of where to start and how to use MINITAB effectively. As a result, Six Sigma/DMAIC projects often fall far short of the productivity expectations associated with MINITAB.
To meet this need, Rath & Strong, the leading global provider of six sigma solutions announces its new publications, Guide to MINITAB 14 and Guide to MINITAB 13.
In teaching how to use MINITAB, this Guide incorporates a two-level approach designed to enhance the learning experience:
- Step-by-step investigative methodology that allows Six Sigma/DMAIC teams to work toward root cause identification in a systematic way.
- Complete Six Sigma/DMAIC case study and data file that allow the team to work through Rath & Strong’s investigative methodology, and master both the methodology and MINITAB statistical tools.
Rath & Strong’s Guide to MINITAB covers both Basic and Advanced Statistical Tools:
Basic Statistics
- Box Plot
- Dot Plot
- Histogram
- Normal Probability Plot
- Pareto Chart
- Scatter Diagram
- Time Series Plot
Advanced Statistics
- Box Cox Transformation
- Control Chart
- Design of Experiments
- Factorial Plots
- Hypothesis Testing
- Matrix Plot
- Regression Analysis
In addition, this Guide teaches how to format data in Excel (using Excel Pivot Tables) for MINITAB.
By using Rath & Strong’s investigative methodology and case study/data file, Six Sigma/DMAIC teams will more quickly master MINITAB, and identify root causes and solutions—realizing the productivity potential of MINITAB Statistical Software.
For more information see: http://www.rathstrong.com/pubs_guidemintab13.htm
