One-Sample T-Test & Power Analysis in Minitab – Tabtrainer®

About this course

Welcome to the Tabtrainer® Certified Series – your trusted platform for statistical precision and process excellence in manufacturing.In this course, you'll master the One-Sample T-Test and Power Analysis using Minitab®, framed by a real production case from skateboard axle manufacturing. You'll learn to evaluate process stability, calculate the required sample size for reliable conclusions, and reduce the risk of costly false decisions.Understand how confidence intervals, p-values, and Type I/II errors impact quality decisions, and how to use normality tests and probability plots to validate your assumptions.Taught by Prof. Dr. Murat Mola, TÜV-certified Six Sigma expert and Professor of the Year 2023 in Germany, this course is ideal for engineers, quality professionals, and Six Sigma practitioners who want to combine statistical accuracy with practical production insight.In this training unit, participants will master the application of a one-sample t-test with a primary focus on understanding hypothesis test power and determining optimal sample size. Through a real-world example drawn from a skateboard manufacturing process, this course emphasizes the critical role of statistical tools in assessing process stability and ensuring compliance with stringent customer specifications. Participants will learn how to interpret statistical results to make informed, data-driven decisions that can enhance quality control and minimize risk.Key Learnings:Statistical Foundations:Comprehend the principles of hypothesis testing to validate process performance.Differentiate between Type 1 errors (false alarms) and Type 2 errors (missed alarms), and understand their prac

Course objectives

• master the application of one-sample t-tests
• understand hypothesis testing power
• determine optimal sample size