The application has an Assistant feature that walks users through data analysis to help them interpret results more accurately. Its ease of use helps not just businesses, but also colleges and universities when it comes to teaching statistics and data analysis.
MINITAB 17 SOFTWARE
Even without advanced expertise in statistics, those who use the software can draw substantial data easily.
MINITAB 17 FULL
Tools and topics Covered Include: Design of Factorial Experiments Normal Effects Plot and Pareto of Effects Power and Sample Size Main Effect, Interaction, and Cube Plots Center Points Overlaid Contour Plots Multiple Response Optimizationĭays may be booked as a individual days (please note, per-requisites apply) or a full four day course.The technology’s flagship product, Minitab Statistical Software, has comprehensive yet easy-to-use tools to help companies run smarter and more thorough data analysis. Use Minitab’s customizable and powerful graphical displays to interpret and communicate experimental results to improve products and processes, find critical factors that impact important response variables, reduce process variation, and expedite research and development projects. Develop the skills necessary to correctly analyze resulting data to effectively and efficiently reach experimental objectives. Real-world applications demonstrate how the concepts of randomization, replication, and blocking form the basis for sound experimentation practices. Learn to generate a variety of full and fractional factorial designs using Minitab’s intuitive DOE interface. Optional Topic for On-Site Training: Acceptance Sampling for Attribute and/or Variables Data
Prerequisites: Introduction to Minitab and Basic Statistics Tools Covered Include: Gage R&R, Destructive Testing, Gage Linearity and Bias, Attribute Agreement, Variables and Attribute Control Charts, Capability Analysis for Normal, Non-normal and Attribute data The course emphasis is placed on teaching quality tools as they relate to manufacturing processes.
MINITAB 17 HOW TO
Learn how to utilize important capability analysis tools to evaluate your processes relative to internal and customer specifications. Develop the skills to know when and where to use the various types of control charts available in Minitab for your own processes. Learn the basic fundamentals of statistical process control and how these important quality tools can provide the necessary evidence to improve and control manufacturing processes. Optional Topic for On-Site Training: Nonparametric Testsĭevelop the necessary skills to successfully evaluate and certify manufacturing and engineering measurement systems. Tools Covered Include: t-Tests, Proportion Tests, Tests for Equal Variance, Power and Sample Size, Correlation, Simple Linear and Multiple Regression, ANOVA and GLM A strong emphasis is placed on making good business decisions based upon the practical application of statistical techniques commonly found in manufacturing, engineering, and research and development endeavors. Learn how to explore critical features in your processes through statistical modeling tools that help to uncover and describe relationships between variables. By analyzing a variety of real world data sets, learn how to match the appropriate statistical tool to your own applications and how to correctly interpret statistical output to quickly reveal problems with a process or to show evidence of an improvement. Develop the foundation for important statistical concepts such as hypothesis testing and confidence intervals. This course is a prerequisite for all other general Minitab courses.Īugment your graphical analysis skills using Minitab’s powerful statistical tools. Topics covered include: Charts, Histograms, Boxplots, Dotplots, Scatterplots, Tables, Measures of Location and Variation, ODBC This course focuses on the utilization of these tools as they pertain to applications commonly found in manufacturing, engineering, and business processes. Develop sound statistical approaches to data analysis by learning how to create and interpret a wide variety of graphs and numerical measures useful for quality improvement initiatives. Enhance your ability to create, manipulate, and restructure data. Learn how to import/export data and output between Minitab and various software and database systems. The four days consist of the following topics:ĭecrease the time required for statistical analysis by quickly learning to navigate Minitab’s user-friendly and customizable environment. Minitab 17 statistical quality analysis training can be customized for the service or manufacturing sector.It focuses on the utilization of Minitab Statistical Software tools and features from a manufacturing, engineering and business process perspective. MINITAB 17 STATISTICAL QUALITY ANALYSIS(MANUFACTURING OR SERVICE FOCUS)
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