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所在平台: Udemy |
课程主页: https://www.udemy.com/course/hypothesis-testing-easiest-way-with-practical-examples/
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**课程名称：假设检验：最简单和最实用的方法** **课程概述：** 本课程旨在以最简单、最详细的方式，结合 Minitab 软件的实际操作示例，全面介绍假设检验这一重要的统计推断方法。假设检验是基于样本数据对总体进行推断和得出结论的统计程序，广泛应用于科学、社会科学、商业和医学等领域，用于验证或挑战假设，并从数据中得出有意义的结论。 **课程内容亮点：** * **核心概念解析：** 深入讲解假设检验中涉及的所有术语和概念，确保学员从基础开始理解。 * **一般步骤详解：** 详细阐述进行假设检验的通用流程和步骤。 * **全面测试方法：** 介绍所有类型的假设检验，并指导学员如何根据数据和应用场景选择正确的检验方法。 * **关键统计检验：** 涵盖多种常用检验，包括： * 1-样本 t 检验 (1-Sample t test) * 1-样本标准差检验/方差检验 (1-Sample standard deviation test / 1-Variance test) * 1-样本百分比不良品检验/比例检验 (1-Sample % Defective test / 1-Proportion test) * 卡方拟合优度检验 (Chi-Square Goodness of fit test) * 2-样本 t 检验 (2-Sample t test) * 配对 t 检验 (Paired t test) * 2-样本标准差检验/方差检验 (2-Sample standard deviation test / 2-Variance test) * 2-样本百分比不良品检验/比例检验 (2-Sample % defective test / 2-Proportion test) * 卡方关联性检验 (Chi-Square test for association) * 单向方差分析 (One-Way ANOVA) * 标准差检验/等方差检验 (Standard deviations test / Test for equal variances) * 卡方百分比不良品检验 (Chi-Square % Defective Test) * **Minitab 实践应用：** * 展示如何利用 Minitab Assistant 工具进行假设检验，将理论与实践紧密结合。 * **巩固与评估：** * 提供涵盖所有内容的测验，帮助学员检验学习效果。 本课程将以清晰易懂的方式，通过丰富的实际案例，帮助学员掌握假设检验的核心技能，提升数据分析能力。相信您会喜欢这门课程！
Hypothesis testing is a statistical procedure used to make inferences or conclusions about a population based on sample data.Hypothesis testing is widely used in various fields, including science, social sciences, business, and medicine, to validate or challenge assumptions and draw meaningful conclusions from data.This is a complete, easiest and most detailed course in Hypothesis Testing with an illustration of practical examples in Minitab.It consists of the following topics and tools with practical examples for easy understanding and better clarity.1. All terms and concepts used in Hypothesis Testing2. Introduction and General procedure to conduct Hypothesis Testing3. All types of Hypothesis Tests and selection of the correct test based on the data and application4. 1-Sample t test5. 1-Sample standard deviation test or 1-Variance test6. 1-Sample % Defective test or 1-Proportion test7. Chi-Square Goodness of fit test8. 2-Sample t test9. Paired t test10. 2-Sample standard deviation test or 2-Variance test11. 2-Sample % defective test or 2-Proportion test12. Chi-Square test for association13. One-Way ANOVA14. Standard deviations test or Test for equal variances15. Chi-Square % Defective Test16. Use of Minitab Assistant to conduct Hypothesis Testing, and17. Quiz on all topics to check the understanding of the courseI am sure you will be liked this course.
