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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tabtrainer-minitab-two-sample-t-test-with-paired-sample/
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课程名称：Minitab中的配对t检验 - 材料测试的Tabtrainer 课程概述： 欢迎参加Tabtrainer®认证系列，这是您在工程、研究和质量控制领域追求统计卓越的高级培训平台。本课程将为您提供在Minitab中应用配对双样本t检验的实践经验，基于Smartboard公司的一项真实研发案例。您将评估两种3D打印高性能钢材（“Barros”和“Houston”），并确定在受控测试下，它们的性能是否存在显著差异。 您将使用真实的配对数据，建立假设检验，解释p值、置信区间和方差诊断，并将您的发现转化为原型优化和材料选择的实际决策。课程由TÜV认证的六西格玛讲师及2023年德国年度教授Murat Mola教授授课，旨在使研发、工程和质量保证领域的专业人士能够以科学严谨和工业精确的方式利用数据。 本课程深入探讨了配对样本的双样本t检验，重点关注原型开发和材料测试中的实际应用。参与者将通过Smartboard公司的实际案例，分析为先进3D打印滑板车轴开发的两种高性能不锈钢材料“Barros”和“Houston”。 通过结合实际统计方法与Minitab等高级工具，本课程使参与者能够进行准确的假设检验，解决复杂的配对数据场景，并为研发提供可行的见解。 学习目标： - 掌握配对样本的双样本t检验：学习经典t检验和配对t检验的基本区别，理解何时应用每种方法。 - 在真实场景中进行假设检验：分析配对数据集以确定统计显著性，并提供可靠的行动建议。 - 利用先进工具进行统计分析：熟练使用Minitab进行数据导入、清洗、图形摘要和配对t检验执行。 - 将统计见解应用于决策制定：将测试结果转化为可操作的建议，如确定创新3D打印应用所需的最佳材料特性。 - 理解并可视化统计结果：创建和解释诊断报告、p值、置信区间和方差计算，以确保数据驱动的结论。 本课程非常适合研究、工程和质量管理领域的专业人士，以及任何希望获得配对数据分析实践经验的人员。
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.
