This two day course will revitalize your knowledge of statistics in
such a way that you can start to work with modern statistical software, letting your data speak. The emphasis is on the basic skills of how to do statistical analyses. This course provides you with tools that support a broad range of activities both in technical and non-technical areas.
The course covers the basic statistical methods required for the design and improvement of products and processes. The emphasis is on the practical application of statistical techniques in your daily work. The mathematical background of these techniques will not be discussed. The training starts to revitalize some statistical concepts, using the statistical software package Minitab®. Minitab® is used for Descriptive Statistics. To explore your data, all kinds of graphs will be introduced plus what you can learn from each of them.
For the improvement of products and processes it is vital to measure the important parameters. Gauge R&R will be introduced to assess this issue. Before you start your improvement process, the current situation must be clearly documented. Tools to investigate the current situation are control charts and capability analysis.
Knowledge of the current situation is the basis for improvement. We will define which parameters (process settings) we may use to improve the process. That brings us to identifying potential influence factors and testing their influence. Methods to do this (hypothesis testing) are introduced. With a set of big influence factors, we can set up a designed experiment to find out the relation between the influence factors and the important process responses. This introduction to Design of experiments concludes the course. The focus of the course is on the statistical techniques that are applicable when the process response parameter is continuous.
• Statistical concepts
– Population vs. Sample, Normal Distrubition
• Data Types, properties of Continuous Data
• Introduction into Minitab® Statistical Software
• Descriptive Statistics
• Exploratory Data Analysis
– Histograms (Dotplot), Boxplot, Scatterplot, Matrixplot,
• Control Charts for Continuous Data Correlation
• Measurement System Analysis, Gauge R&R for Continuous Data
• Proces Capability, Cp and Cpk (Pp and Ppk)
• Hypothesis Testing (part1), 1sample & 2sample T-test, F-test\
• Hypothesis Testing (part2)
– Test for equal variances
• General Linear Model (GLM)
• Power and Sample Size
• Outliers, Grubb’s Outlier Test
• Introduction to Design of Experiments (DOE)
Joost van der Heijden – Holland Innovative
Course duration and number of participants:
2 days from 9.00 am to 5.00 pm. Maximum group size: 16 participants. In-company programs can also be arranged.
Ir. Joost van der Heijden – Master Black Belt at Holland Innovative
Location and costs:
Eindhoven: High Tech Campus 9 (Bèta Building)
The costs are €995 (excl. VAT) per participant. Included are the two training days, a syllabus of the course material, refreshments and daily lunches.
Februari 5 & 6
November 21 & 22
Do you have a question about one of our courses?
Would you like to discuss the possibilities? Please contact us for further information.
T: +31 (0)40 851 4611