Overview

Welcome to the Tabtrainer® Certified Series - your advanced training platform for statistical excellence in engineering, research, and quality control.This course gives you hands-on expertise in applying the paired two-sample t-test using Minitab®, based on a real-world R & D case from the Smartboard Company. You'll evaluate two 3D-printed high-performance steels ("Barros" and "Houston") and determine whether their performance differs significantly under controlled testing.You'll work with real paired data, build hypothesis tests, interpret p-values, confidence intervals, and variance diagnostics, and translate your findings into practical decisions for prototype optimization and material selection.Taught by Prof. Dr. Murat Mola, TÜV-certified Six Sigma instructor and Professor of the Year 2023 in Germany, this course empowers professionals in R & D, engineering, and quality assurance to use data meaningfully - with scientific rigor and industrial precision.This course offers an in-depth exploration of the two-sample t-test with paired samples, focusing on practical applications in prototype development and material testing. Participants will engage with a real-world case study from Smartboard Company, which involves analyzing two high-performance stainless steel materials, "Barros" and "Houston," developed for use in advanced 3D-printed skateboard axles.By combining hands-on statistical methods with advanced tools like Minitab, this course empowers participants to conduct accurate hypothesis testing, address complex paired data scenarios, and provide actionable insights for research and development.Learning Objectives:Master the Two-Sample T-Test for Paired Samples: Learn the fundamental differences between the classical t-test and paired t-test, and understand when to apply each method.Perform Hypothesis Testing in Real-World Scenarios: Analyze paired data sets to determine statistical significance and provide reliable recommendations for action.Utilize Advanced Tools for Statistical Analysis: Gain proficiency in using Minitab for data import, cleaning, graphical summaries, and paired t-test execution.Apply Statistical Insights to Decision-Making: Translate test results into actionable recommendations, such as determining optimal material properties for innovative 3D printing applications.Understand and Visualize Statistical Outcomes: Create and interpret diagnostic reports, p-values, confidence intervals, and variance calculations to ensure data-driven conclusions.This course is ideal for professionals in research, engineering, and quality management, as well as anyone interested in gaining practical expertise in paired data analysis.

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