|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/test-of-hypotheses/
课程评论：没有评论
课程名称：假设检验：简化的实例化方法 课程概述：本课程将介绍统计假设的主要方面。我们采用简单的方法，使课程对初学者友好，通过多个实际案例来解释相关概念。课程将教授如何正确地 formulation 统计假设，并逐步介绍各种假设检验方法，特别是针对总体均值和方差的检验。学员将学习如何正确地构建统计假设，并系统掌握针对均值或方差的检验步骤。 我们将学习多种进行正确假设检验的方法，包括检测统计量、利用置信区间和P值。课程内容经过简化，适合统计基础较弱的初学者，重点在于实例分析而非复杂理论。同时，课程也着重于实践，通过解决现实问题，帮助学员体会到这一知识的价值。 最后，我们将使用Minitab和Matlab软件来快速完成检验。课程提供友好的教程，并附有具体示例，帮助学员从零基础开始了解这两款软件，并学习如何运用其进行一般性工作和假设检验。
In this course, students will be introduced to main aspects of statistical hypotheses. A simple approach is adopted to be beginners-friendly with several practical of examples to explain ideas. The course explains and develop skills toward proper hypotheses formulation and testing methodologies. Main points about hypotheses on the mean and variance of a population are covered.Students will learn how to correctly formulate a statistical hypothesis. They will also learn, in step by step, how to perform the right test for various types of hypotheses around the mean or the variance of a population. Interestingly, we will learn different methods to carry out correct hypothesis testing such as: test statistic, using confidence intervals and P-value.The course content is simplified to fit for beginners with minimal background in statistics. Also, it is highly focus on examples and less on complex theories. Certainly, a focus on practice with real world problems will also articulate the feel sense of the value of this knowledge.Finally, we make the use of both Minitab and Matlab software to help us quickly perform our tests. Friendly tutorials are given with examples for both software. Both software are introduced from absolute zero level, then students are guided with examples on how to use them for general purpose and specifically for working out tests of hypotheses.
