Tabtrainer Minitab: Two-Way ANOVA
Achieve top-level expertise in Minitab with Prof. Dr. Murat Mola, recognized as Germany's Professor of the Year 2023.
0
students
1 hour
content
Apr 2025
last update
$44.99
regular price
What you will learn
Introduction to Two-Way ANOVA: Analyze how two categorical factors (laminating pressure and surface roughness) affect a continuous response variable.
Data Preparation for ANOVA: Import, clean, and structure experimental data correctly, assigning clear factor names and response variables.
Visual Exploration of Data: Use boxplots and main effect plots to visually identify preliminary trends, interactions, and possible effects.
GLM Setup: Build a Two-Way ANOVA using Minitab’s GLM function, clearly defining predictors, response variables, and interaction terms.
Interpreting: Interpret p-values (< 0.05) to identify meaningful main and interaction effects between laminating pressure and surface roughness.
Main Effects vs. Interaction Effects: Differentiate between independent main effects and interaction effects.
Model Quality and Residual Analysis: Evaluate GLM quality using R-squared and residual diagnostics (normality, variance consistency).
Factorial Interaction Plots: Create and interpret factorial plots to clearly visualize significant interactions between categorical factors.
Tukey Post-hoc Analysis: Apply the Tukey test to determine exactly which factor combinations significantly differ from each other.
Evidence-based Production Recommendations: Translate statistical insights into practical decisions, recommending optimal factor settings.
6559837
udemy ID
4/7/2025
course created date
4/11/2025
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