This module offers a sound introduction to the world of quality statistics. It is aimed at anyone who wants to develop their data skills and apply statistical methods with confidence – in an understandable, practical way and with direct benefits for everyday working life.
Participants learn how to apply statistical methods with confidence, interpret results and act as an internal contact person for data-based decisions.
Core content:
➡ Introduction to statistical methods for process analysis and quality control – practical.
➡ Exploratory data analysis and visualization, e.g. with boxplots, histograms, scatterplots.
➡ Hypothesis tests such as t-test and ANOVA using concrete examples with interpretation.
➡ Simple and multiple linear regression for forecasting target variables.
➡ Dealing with non-normally distributed data, including transformations for tests and modeling.
➡ Measurement system analyses (MSA), also attributive and with image processing, e.g. camera systems.
➡ Process capability analyses and tolerance intervals, including Cp, Cpk, Pp, Ppk – for normally and non-normally distributed processes.
Become part of the Data Excellence Experience – we look forward to your participation!
Further modules and information: LINK
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You can find other interesting dates relating to quality management in the QZ-online.de diary
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