Minitab
The "Minitab" course helps to safely handle the surface of the Minitab software and teaches you the basic tool controls.
course objects
Learning and application of:
- various methods to read in and organize the data and to graphically prepare it
- basic statistical evaluation methods, such as hypothesis tests and confidence intervals, ANOVA, correlation and regression
- Review the requirements of statistical tests and sample size estimates and selectivity with Minitab
- practice-oriented examples in order to apply and interpret appropriate graphical and statistical evaluation methods
- the presentation of results in a report, as well as evaluate repetitive analyses automatically via a simple macro.
seminar content
Working with Minitab (covering all course content and days):
- Project setup and project management
- Handling with the project manager and the Minitab file management structure
- Using of program windows, menus, toolbars, data import and data management
- Create and edit graphics
- Creating and interpreting descriptive statistics.
Day 1
- Introduction to MINITAB 18
- Basic features of Minitab:
- working with projects, worksheets, assistants,
- working with graphics and layout editors;
- inputting, reading and transcoding of data;
- splitting and stacking of worksheets;
- create and edit charts;
- exporting expenses to other applications.
- project structure,
- data organization and important commands
- metrological basics
- data collection,
- measurements and scale levels
- Univariate Descriptive Statistics
- frequency distributions,
- central dimensions,
- dispersion measures,
- default values,
- graphic representations
- statistical basics
- Probability and inferential statistics
- graphical representation
- clearly represent data
- recognize correlations
- identify patterns in data
- identify causes of variation to initiate appropriate measures
- basics of hypothesis test
- hypothesis test: continuous data
- check the null hypothesis with t-tests and confidence intervals
- evaluate the selectivity of a hypothesis test
- t-test with one or two samples or paired t-test
- hypothesis test: attributive data
- test shares of a random sample
- compare two shares
- perform Fisher's Exact test
- perform chi-square test
Day 2
- analysis of variance (ANOVA)
- evaluate the selectivity of an analysis of variance
- prerequisites for performing an analysis of variance
- General Linear Model (GLM) and multiple comparisons
- bivariate descriptive statistics
- correlations
- crosstables
- scatter diagrams
- probability distributions
- sample
- population
- normal distribution
- averaging distribution
- correlation and regression
- correlation analysis
- simple linear regression and polynomial regression
- Response Optimizer
Day 3 (OPTIONAL)
- auditor match
- comparison of error assessments made by different examiners
- SPC and process capability
- suitability of measuring systems
- investigation of continuous testing processes: MSA Type I measuring equipment ability
- investigation of continuous testing processes: MSA type II with operator influence
- checking the quality of a process and identifying evidence for improvement
- transform data
- prepare non-normally distributed data in order to carry out statistical analyzes and to assume the normal distribution
- process capability for non-normal distributed data
- checking the quality of a process and identifying evidence for improvement
- working with control cards for:
- monitoring of processes
- taking timely corrective measures.
Full-day exercises and examples on individual topics and efficient data analysis with Minitab.
Blocks
Basic
Advanced
Duration
2 Days
3 Days
City
Cologne
Cologne
Costs
980,- €
1.470,- €
* All prices in €; plus VAT, including refreshments and detailed documentation as well as a reference book tailored to the seminar.