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所在平台: Udemy |
课程主页: https://www.udemy.com/course/understanding-hypothesis-inferential-statistics/
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课程简介：假设（推断统计学）：实用方法 亲爱的学习者，欢迎您参加本课程《理解假设（推断统计学）》。本课程将帮助您轻松掌握这一概念。它将帮助您分析数据并做出正确的决策。这一强大的技能将在您的专业发展中增添新的筹码，无论您来自制造、运营卓越、技术还是服务领域。课程分为五个部分，共约21节讲座。 **第一部分（假设介绍）** - 第1节：介绍 - 第2节：什么是假设 - 第3节：假设检验中的关键术语 - 第4节：什么是P值 - 第5节：第一类错误和第二类错误 **第二部分（正态分布和数据类型）** - 第6节：理解正态分布 - 第7节：标准正态分布与Z值概念 - 第8节：理解不同类型的数据 **第三部分（假设检验类型及Minitab简介）** - 第9节：假设检验的类型 - 第10节：Minitab简介 - 第11节：使用Minitab进行正态性检验的简单测试 **第四部分（使用Minitab进行不同类型的假设检验）** 本部分是课程最长的部分，涵盖不同类型的假设检验。 - 第12节：单样本Z检验 - 第13节：单样本T检验 - 第14节：单样本不良率检验 - 第15节：双样本T检验 - 第16节：配对T检验 - 第17节：单向ANOVA检验 - 第18节：双样本不良率检验 - 第19节：卡方检验 **第五部分（相关性与回归）** - 第20节：什么是相关性及相关系数 - 第21节：简单线性回归与多元线性回归 - 第22节：使用Minitab的回归模型 课程总结：这些讲座旨在简化传授，使学习者能够更好地理解所涵盖的所有主题。讲师Parag Dadeech在全球拥有27年以上的丰富经验，深知培训者应站在学习者的角度进行授课，从而确保强烈的知识保留并带来愉悦的学习体验。一旦掌握了这些基本的假设概念，我建议您在“Minitab”中自己实践课程中说明的不同类型问题。自我练习是获得假设概念“强而深刻”的实际理解的关键。再次感谢您报名参加课程。 诚挚问候，Parag Dadeech
Dear Learners, I welcome to this course on Understanding Hypothesis (inferential statistics)This course will help you to learn this concept with ease. It will help you to analyze your data and take right decisions. This powerful skill-set will be another feather in your cap, whether you come from manufacturing, operational excellence, technical or services background.The course is covered in "5 sections" and total of about 21 lecturesSection-1 (Introduction to Hypothesis)Lecture-1-IntroductionLecture-2-What is HypothesisLecture-3- Key terms in Hypothesis testingLecture-4- What is P-ValueLecture-5-Type 1 and Type-2 errorsSection-2 (Normal Distribution and types of Data)Lecture-6-Understanding Normal distributionLecture-7- Standard Normal distribution and concept of Z-valueLecture-8- Understanding different types of DataSection-3 (Types of Hypothesis tests and introduction to Minitab)Lecture-9-Types of Hypothesis testsLecture-10- Introduction to MinitabLecture-11-Simple test for normality using MinitabSection-4 (Performing different types of Hypothesis tests using Minitab)"Section-4" is our longest section, as it covers the different types of hypothesis testing.Lecture-12- One sample Z testLecture-13- One sample T testLecture-14-One sample % defective testLecture-15-Two sample T testLecture-16-Paired T testLecture-17-One way ANOVA testLecture-18- Two sample % defective testLecture-19-Chi-square test for associationSection-5 (Correlation and Regression)Lecture-20-What is correlation and correlation coefficientLecture-21- Simple Linear Regression and Multiple Linear RegressionLecture-22-Regression Model using MinitabCourse summary,These Lectures have been prepared keeping in mind simplicity of delivery and for facilitating a good grasp of all topics covered in the course. With my diversified global experience of nearly 27+ years across various parts of the world and having worked with many different cultures, I always believe that Trainer should step into the Learner's shoe, while executing the training. This always helps in ensuring strong retention and an overall enjoyable learning experience.Once you learn these basic hypothesis concepts, I would urge you to practice the different type of problems illustrated in this course, yourself in "Minitab". This is quite important as only self-practice will help you gain a "strong and deep rooted" practical understanding of the hypothesis concepts.Thanks once again for enrolling.Warm Regards,Parag Dadeech
