Mon–Thu 8:30 AM–5:00 PM
Fri 8:30 AM–3:00 PM

Monday

Preparing for statistical analysis

• first steps
• data preparation for analysis
• graphical representation of data and its pitfalls
• basic statistical characteristics and their use
• interval estimates of numerical characteristics

Tuesday

Hypothesis testing

• introduction to hypothesis testing
• test of data normality 
• p-test
• chi-square test of independence
• t-tests and other hypothesis tests
• nonparametric tests
• test power and sample size selection
• ANOVA

Wednesday

Measurement system analysis, stability

• measurement system analysis - MSA, Gage R&R
• process stability
• control charts
• ----------------------------
• introduction to regression
• linear regression

Thursday

Regression models, Design of Experiment (DoE)

• multivariate regression
  
• logistic regression
• nonlinear regression
• --------------------------
• DoE - Design of Experiments method
  
• DoE - full factorial plan

Friday

Advanced Design of Experiment (DoE) methods

• saving the number of measurements using a partial factorial design
• optimization
  
• feedback
• mixed plans

Conditions of participation

The price includes:

• participation in summer school,
• training manual,
• a set of training data,
• an electronic version of the introductory manual for the software used,
• Possibility to borrow a training laptop with Minitab statistical software (must be ordered).

If you come to a classic summer school and participate in person, you will receive free lunches and snacks from us as a bonus for the entire duration of the course.

Every summer school graduate receives a certificate.