Introduction to statistics
The “Introduction to statistics” ComPro training course begins with teaching general concepts and terms that are necessary for understanding industrial statistics. We teach you the basic statistical procedures and the methodology of technical statistics in quality assurance. You learn when to use which procedure, how to handle the respective statistical methods and how to interpret the results. This basic statistics course uses software that is also used in production and shows you how to apply these procedures based on real examples from industrial production.
At the end of this training course, you will know and understand all the necessary basic concepts of statistics and be able to evaluate measured values statistically. The statistical methods taught here are used in quality management and form the basis for the analysis, visualisation and interpretation of measurement and inspection data.
Our introduction to statistics in detail
Contents:
- Types of characteristics
- Direct and indirect inference
- Statistics with confidence interval
- Graphics
- Continuous distributions
- Discrete distributions
- Random variation range
- Numerical test procedures
This introduction to statistics forms the basis for the following training courses:
- Capability analysis for measurement and inspection processes in accordance with VDA 5 and ISO 22514-7 (2 days)
- Inspection equipment capability according to MSA manual (AIAG) (1 day)
- Capability analyses for machines and processes in accordance with the SPC manual (VDA/AIAG) and ISO 22714-2 (1 day)
- Quality control charts according to SPC manual (VDA / AIAG) and ISO 7870-2 (1 day)
Further information
What is technical statistics?
Technical statistics is a branch of statistics that deals with the application of statistical methods in technical and scientific fields. It is often used in quality assurance, production engineering and measurement technology, applies the procedures included in this introduction to statistics and covers the following main areas:
- Data collection and evaluation for analyzing measurement data
- Probability calculation as the basis of many statistical methods
- Statistical quality control based on sampling, control charts and capability analyses
- Regression and correlation analyses to investigate correlations
- Hypothesis tests to verify statements
Industrial statistics is in turn a subfield of technical statistics. With all its statistical procedures, it is dedicated to production processes and manufacturing. Among other things, it helps to
- to monitor product quality in the manufacturing process.
- to analyse failure rates and estimate error frequencies.
- to optimise production processes.
- to simulate technical processes using statistical models.
What are the 5 basic concepts of statistics?
There are five basic concepts in the fundamentals of statistics that are essential for understanding statistical analyses. They are essential both for statistically evaluating data and for correctly interpreting research results.
- Population:
The population is the totality of all units considered in an analysis. - Sample:
A sample is a subset of the population consisting of one or more units selected to collect statistical data. - Characteristic:
A characteristic is a property that is examined. - Characteristic value:
The characteristic value is a specific value a characteristic can assume. - Scale:
A scale is the system used to measure and qualify characteristics. In addition to the absolute scale (whole numbers), there is the nominal scale (categories without ranking), ordinal scale (categories with ranking), interval scale (equal value intervals without zero point), and ratio scale (equal value intervals with zero point).
