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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tabtrainer-minitab-one-way-anova/
课程评论：没有评论
**课程名称：** Minitab 中的单因素方差分析 - Tabtrainer 质量分析 **课程概述：** 本课程是 Tabtrainer® 认证系列的一部分，专注于工业质量管理中的实践统计培训。通过一个来自 Smartboard 公司的真实案例，您将学习如何使用 Minitab® 进行单因素方差分析（One-Way ANOVA）。您将扮演质量分析师的角色，对比三个不同供应商生产的滚珠轴承的可重复性，并判断是否存在统计学上显著的性能差异。 课程将逐步引导您完成描述性统计分析，解读 p 值和 F 分布，并运用事后检验（如 Fisher 检验）来得出精确结论。通过简化的计算和缩减的数据集，您将建立对每个参数背后含义的概念性理解。 **课程内容亮点：** * **实际应用：** 学习基于 Smartboard 公司寻找高精度滚珠轴承供应商的真实工业案例。 * **操作技能：** 掌握在 Minitab® 中执行单因素方差分析的步骤。 * **统计解读：** 学习如何使用描述性统计、p 值、F 分布以及事后检验（Fisher 检验）来分析数据。 * **概念清晰：** 通过简化计算和缩减数据集，深入理解方差分析的关键概念，如方差分量、自由度等。 * **决策支持：** 学习如何将统计发现转化为供应商选择和质量控制方面的实际决策。 **课程目标：** 完成课程后，您将能够： * 应用单因素方差分析比较多个组的均值。 * 解读方差分析的输出结果（SS、MS、F 值、p 值）。 * 利用图形工具和事后检验识别显著差异。 * 将统计发现转化为实际的质量管理决策。 **适合人群：** 质量保证、制造、过程优化领域的专业人士，以及希望深化统计分析方法理解的六西格玛实践者。
Welcome to the Tabtrainer® Certified Series - your expert source for hands-on statistical training in industrial quality management.In this course, you'll learn how to apply the One-Way ANOVA using Minitab®, based on a real-world scenario from the Smartboard Company. As a quality analyst, you'll compare the reproducibility of ball bearing production from three different suppliers and determine whether statistically significant performance differences exist.Step by step, you'll work with descriptive statistics, interpret p-values and F-distributions, and use post-hoc tests (e.g., Fisher's test) to draw precise conclusions. You'll also build conceptual clarity through simplified calculations and reduced data sets to fully understand the meaning behind each parameter.Taught by Prof. Dr. Murat Mola, TÜV-certified trainer and Professor of the Year 2023 in Germany, this course empowers you to make informed decisions in supplier selection and quality control using robust statistical tools from the Tabtrainer® method.Course DescriptionThis training unit provides a practical and didactically structured introduction to the One-Way Analysis of Variance (ANOVA) using a real-world industrial case. Participants will take on the role of a quality analyst at Smartboard Company, which is searching for new suppliers of high-precision ball bearings for skateboard wheels.The course guides learners through the process of evaluating the reproducibility of manufacturing processes from three potential suppliers (John, Rodney, and Mullen), each producing ball bearings using identical equipment and materials. Using sample data collected from the production lines, learners will apply descriptive statistics, perform a One-Way ANOVA, and interpret the p-value and F-distribution to determine whether significant differences exist between the suppliers.This hands-on approach enables learners to understand the statistical principles behind ANOVA, including variance components, degrees of freedom, and post-hoc comparison tests (Fisher's test). The training also demonstrates how to derive key parameters step by step using reduced data sets to enhance conceptual understanding.By the end of the course, participants will be able to:Apply One-Way ANOVA to compare multiple group means,Interpret ANOVA outputs (SS, MS, F-value, p-value),Use graphical tools and post-hoc tests to identify significant differences,Translate statistical findings into practical quality management decisions.This course is ideal for professionals in quality assurance, manufacturing, and process optimization, as well as for Six Sigma practitioners looking to deepen their understanding of statistical analysis methods.
