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所在平台: Udemy |
课程主页: https://www.udemy.com/course/tabtrainer-minitab-one-sample-test-of-proportion/
课程评论：没有评论
**课程名称：** Minitab中的二项检验与功效分析 **课程概述：** 本课程是Tabtrainer®认证系列的一部分，专为工业质量控制领域的专业人士提供实践统计技能。通过Minitab®软件，您将学习如何应用假设检验、二项分布和功效分析来解决实际制造问题。课程内容涵盖评估缺陷率、确定最佳样本量以及解读p值和置信区间，帮助您做出自信且具成本效益的决策。您将通过真实的生产场景和案例研究，了解数据如何驱动质量、效率和客户满意度的实质性改进。 **讲师：** Murat Mola 教授（德国年度教授 2023，TÜV认证六西格玛专家） **目标受众：** 工程师、质量专业人士、决策者，以及希望将统计理论转化为实际流程影响但无需高深数学基础的人员。 **课程简介：** 本课程深入讲解统计质量控制和生产优化的工具和知识。在实践应用方面，参与者将学习如何运用假设检验、功效分析和二项分布来有效分析和管理缺陷率。课程旨在弥合统计理论与现实生产挑战之间的差距，为参与者提供基于数据做出决策和改进生产流程的实用技能。 通过真实场景、动手练习和详细的制造行业案例研究， learners 不仅能理解统计方法，更能自信地将其应用于质量保证实践，识别关键质量问题，实施纠正措施，并在满足客户需求的同时保持效率。 **学习目标：** * 掌握假设检验技术，评估缺陷率并改进质量保证。 * 利用针对生产需求的功效分析，确定统计检验的最佳样本量。 * 应用二项分布原则，分析生产场景中的离散数据。 * 区分离散数据和连续数据，选择并使用合适的统计方法。 * 解读p值、置信区间和功效曲线，以验证假设和辅助决策。 * 高度自信地检测和评估缺陷率的变化。 * 设计并实施数据驱动的流程改进和缺陷减少建议。 * 理解缺陷率对生产盈利能力的影响，包括成本效益。 * 发展统计工具的进阶技能，将理论应用于制造实践。 学完本课程，您将能够实施稳健的质量控制措施，降低生产成本，提高流程效率，成为组织中宝贵的资产。
Welcome to the Tabtrainer® Certified Series - your professional gateway to practical statistics in industrial quality control.In this course, you'll learn how to apply hypothesis testing, binomial distribution, and power analysis using Minitab®, all within real-world manufacturing contexts. From evaluating defect rates to determining optimal sample sizes and interpreting p-values and confidence intervals, this training gives you the tools to make confident, cost-effective decisions.You'll work through authentic production scenarios and case studies to understand how data can drive meaningful improvements in quality, efficiency, and customer satisfaction.Led 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 decision-makers who want to translate statistical theory into direct process impact-without requiring advanced math skills.Course DescriptionThis in-depth course is designed to provide professionals with the tools and knowledge to excel in statistical quality control and production optimization. Focusing on practical application, participants will delve into hypothesis testing, power analysis, and the use of binomial distribution to analyze and manage defect rates effectively. This course bridges the gap between theoretical statistical concepts and real-world production challenges, equipping participants with actionable skills to drive data-based decisions and improve production processes.Throughout the program, participants will engage with real-world scenarios, hands-on exercises, and detailed case studies from the manufacturing sector. These activities ensure that learners not only understand statistical methods but also can apply them confidently to improve quality assurance practices. The course emphasizes tools and techniques used to identify critical quality issues, implement corrective actions, and maintain efficiency while meeting customer requirements.This course is ideal for quality assurance professionals, production managers, engineers, Six Sigma practitioners, and decision-makers in manufacturing industries who seek to enhance their analytical and decision-making capabilities. No advanced statistical background is required, making the course accessible to those eager to master practical statistical applications.Learning Objectives:By the end of this course, participants will:Master hypothesis testing techniques to evaluate defect rates and improve quality assurance.Determine accurate sample sizes for statistical tests using power analysis tailored to production needs.Apply binomial distribution principles to analyze discrete data in production scenarios.Differentiate between discrete and continuous data to select and use the appropriate statistical methods.Interpret p-values, confidence intervals, and power curves for hypothesis validation and decision-making.Detect and evaluate changes in defect rates with a high degree of statistical confidence.Design and implement data-driven recommendations for process improvements and defect reduction.Understand the cost-benefit implications of defect rates on production profitability.Develop advanced skills in statistical tools, bridging theory and practical application in a manufacturing context.This course ensures participants leave with the ability to implement robust quality control measures, reduce production costs, and enhance process efficiency, making them invaluable assets to their organizations.
