Minitab for Statistical Data Analysis Training in Kraków, Poland

This course equips participants with the skills to use Minitab for performing statistical data analysis, hypothesis testing, and process improvement. It is designed to help professionals analyze datasets, interpret outputs, and apply statistical tools for real-world business and quality improvement decisions using Minitab’s graphical interface and analysis features.

Course Agenda

Introduction to Minitab and Data Handling

• Overview of Minitab interface

• Importing and preparing data

• Data types and formatting

• Working with worksheets

Descriptive Statistics and Visualization

• Summary statistics (mean, median, SD, IQR)

• Frequency tables and histograms

• Boxplots, dotplots, and Pareto charts

• Graphical summaries

Probability Distributions and Sampling

• Normal distribution and others

• Random sampling techniques

• Central Limit Theorem demonstration

Hypothesis Testing

• One-sample and two-sample tests

• t-tests and proportion tests

• P-values and confidence intervals

• Chi-square test basics

Correlation and Regression Analysis

• Scatterplots and correlation coefficients

• Simple and multiple linear regression

• Model summary and residual analysis

ANOVA (Analysis of Variance)

• One-way and two-way ANOVA

• Interpreting F-values and significance

• Post-hoc comparisons

Statistical Quality Tools in Minitab

• Control charts (X̄-R, p, np, u, c charts)

• Process capability analysis

• Gage R&R and measurement systems

Hands-on Exercises

Case Studies