Statistical methods via SW Minitab

Course objectives

During the course, we will acquaint you in detail with the user interface of the Minitab program. You will learn to use complex data analysis techniques, which you will practice on real case data. These are gradually analysed graphically and then statistically.

Course content

• Introduction to Minitab software, basic introduction to SW
• Data processing, meaning and calculation of basic selection characteristics
• Graphic data processing, basic types of diagrams, time courses
• Basic types of continuous and discrete distributions supported by Minitab software, calculation of probability densities, simulation options
• Estimates of basic set distribution parameters - point estimates, their practical use and calculation
• Tests of statistical hypotheses and their use in decision making
• Basic designs of experiments (DoE) and processing of their outputs (ANOVA - analysis of variance, basic concepts of experiment design, problem formulation, general linear model, least squares method)
• One-factor designs, two-factor designs with and without replication, general factor designs, random blocks
• Control charts
• Competence analysis - different types of competency and performance indicators, their calculation and technical use
• Repeatability and reproducibility analysis

Designed for

• Process Engineer

Additional information

* UTC +1 time zone (DE, BE, DK, NL, NO, SE, AT, ES, FR, IT, SI, SK, CZ, PL, HU, ...)