Stemann Consulting
Statistics explained in a practical way

Statistical Methods Training

The Statistical Methods training covers descriptive statistics, distributions, hypothesis tests, correlation, regression and ANOVA through practical examples and clear decision rules

Statistical Methods Training – Stemann Consulting
Training overview

Apply statistics with confidence – from descriptive metrics to hypothesis tests

The Statistical Methods training explains the core tools of descriptive and inferential statistics through practical examples. Participants learn to interpret distributions and variation, understand confidence intervals, select suitable hypothesis tests and analyze relationships using correlation, regression and ANOVA

Summarize data properly
Understand distributions and variation
Choose the right tests
Communicate results clearly
Curriculum

Training content and agenda

  1. 01

    Descriptive statistics

  2. 02

    Probability and sampling

  3. 03

    Hypothesis testing

  4. 04

    Interpretation and common pitfalls

Target group

Who is this training for?

  • Professionals in quality, manufacturing, development and controlling
  • Project teams analyzing data and validating decisions
  • Six Sigma participants
  • Users of Minitab, JMP or JASP
Training calendar

Upcoming public dates

28Sept

Online

28.09.2026 – 30.09.2026

Online | 18 seats
Registration openRequest a place
08Mar

Stuttgart

08.03.2027 – 10.03.2027

On-site | 18 seats
Registration openRequest a place
05Jul

Online

05.07.2027 – 07.07.2027

Online | 18 seats
Registration openRequest a place
06Dec

Berlin

06.12.2027 – 08.12.2027

On-site | 18 seats
Registration openRequest a place
Quality & certificate

Quality assurance & certificate

Method selection always starts with the question and the data. Assumptions, common misinterpretations and clear communication of results are addressed alongside the actual calculations

FAQ

Frequently asked questions

Do I need advanced mathematics?

No. The training introduces statistics step by step in a way that stays understandable