Inferential Statistics

These tutorials are designed to offer a clear, practical guide to statistical analysis using Minitab, particularly beneficial for research in fields like engineering. Step-by-step instructions and industry-relevant examples are provided, enabling users from beginners to advanced levels to enhance their data analysis skills. With applications ranging from experimental data analysis to quality control studies and optimization processes, these resources empower users to apply statistical methods effectively in engineering research. Whether working on reliability analysis, design of experiments, or process optimization, these tutorials provide the tools needed to make informed, data-driven decisions.

One-Way ANOVA and Model Adequacy Checks

This presentation describes the comprehensive methodology and evaluations involved in One-Way ANOVA and Model Adequacy Checks within the framework of the Design of Experiments (DOE). The discourse initiates with a full explanation of DOE, advancing to an in-depth analysis of One Factor Analysis of Variance (One Way ANOVA), supplemented by a practical example with replicates. Subsequent sections explain curve fitting techniques, the construct of the ANOVA model, and the examination of residuals. Furthermore, the video clearly explains the process of conducting model adequacy checks, assessing goodness of fit, and interpreting p-values. It culminates with a detailed rationale for the preference of rejecting the null hypothesis exclusively at the upper tail in ANOVA assessments. This tutorial is ideal for scholars and practitioners aspiring to refine their proficiency in statistical analyses used in scientific research

Statistics - 1-Way-ANOVA.pptx

Simple and Multiple Regression

This tutorial provides a clear and concise explanation and hands-on practice of key statistical concepts. It starts with the basics of the Correlation Coefficient and then proceeds to explain the Simple and Multiple Regression Models. The video also covers Adjusted R-squared, helping to understand how well the model fits the data. This presentation is ideal for students and researchers seeking to grasp the essentials of regression analysis without complex jargon.

Statistics - Regression Analysis.pptx

Simple Linear Regression Using Excel & Minitab
Predicting DC Output from Wind Velocity

This detailed tutorial explains a simple linear regression model for predicting DC output based on wind velocity. Using both Excel and Minitab, the regression line is calculated, interpreting the slope and intercept, and determining the correlation coefficient (r). If you are interested in energy data analysis, this video is a must-watch providing step-by-step instructions and insights into using statistical software for effective prediction modeling.

One Way ANOVA in Minitab:
Tensile Strength as a Function of Cotton wt.%

This practical video demonstration consists of One Way ANOVA using Minitab, where the impact of varying cotton weight percentages on the tensile strength of cotton is examined. The analysis features one factor with five levels, each tested across five replicates. This tutorial is perfect for anyone interested in learning how ANOVA can be used to assess material properties in textiles, offering clear insights into the setup, execution, and interpretation of results using Minitab's robust statistical tools.

Multi-Factor Analysis with Minitab
Advanced ANOVA Techniques

This video covers everything from basic definitions to complex interactions, including treatment combinations, ANOVA tables, the sum of squares calculations, and main and interaction effects. This tutorial demonstrates Multi-Factor ANOVA using Minitab, creating main and interaction plots, and solving a two-way ANOVA problem.