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所在平台: Udemy |
课程主页: https://www.udemy.com/course/part-two-basic-statistics-for-data-analysis-with-spss/
课程评论：没有评论
**课程名称：** 统计学在数据分析中的应用（SPSS）- 第二部分 (Part Two- Statistics for Data Analysis with SPSS) **课程概述：** 本课程是关于数据分析中推断性统计学的第二部分，全面深入地介绍了参数检验和非参数检验。学员将学习关键的统计方法，包括： * 单样本t检验 (one-sample t-tests) * 独立样本t检验 (independent samples t-tests) * 单因素方差分析 (one-way ANOVA) * 双因素方差分析 (two-way ANOVA) * 非参数检验的替代方法，如 Mann-Whitney U 检验 (Mann-Whitney U test) 和 Wilcoxon 符号秩检验 (Wilcoxon signed-rank test) 课程旨在确保学员能够根据数据的特性和研究问题，识别并选择适用的统计检验方法。通过学习，学员将理解何时以及如何在实际场景中应用这些检验，从而有效分析和解释数据。 课程结合了理论概念和实践应用，帮助学员掌握以下能力： * **假设构建：** 能够清晰地表述研究假设。 * **统计分析执行：** 熟练运用SPSS软件进行统计分析。 * **结果解读：** 理解统计结果的含义及其对决策过程的影响。 课程特别强调了对SPSS软件的掌握。SPSS是一款使用相对简单，但实用且市场认可度高的统计软件。使用SPSS，学员可以高效地执行统计检验并解读输出结果。 通过探索各种统计方法的应用情境，学员将深入了解统计分析如何为不同领域的决策过程提供支持。本课程致力于提升学员的统计分析能力和信心，赋能学员在职业和学术领域做出数据驱动的决策。 加入本课程，您将显著提升分析能力和推断性统计学方面的熟练度，为将来深入学习数据分析和研究方法奠定坚实的基础。
This course provides a comprehensive introduction to inferential statistics, focusing on both parametric and non-parametric tests. Students will learn key statistical methods, including one-sample t-tests, independent samples t-tests, one-way ANOVA, two-way ANOVA, along with non-parametric alternatives such as the Mann-Whitney U test and the Wilcoxon signed-rank test. This will ensure that participants are able to identify the appropriate testing methods based on their data characteristics and research questions. Through the course, participants will understand when and how to apply these tests in real-world scenarios, enabling them to analyze and interpret data effectively.Through a combination of theoretical concepts and practical applications, participants will learn to formulate hypotheses, perform statistical analyses, and understand the implications of their findings in the decision making process. Emphasis will be placed on mastering SPSS, a relatively easy to use yet relevant and marketable statistical software tool, allowing students to efficiently conduct tests and interpret output.By exploring various situations where these statistical methods are applicable, students will gain insight into how statistical analyses inform decision-making processes in diverse fields. The course aims to equip learners with the skills necessary to utilize statistics confidently, empowering them to make data-driven decisions in their professional and academic pursuits. Join me to enhance your analytical abilities and proficiency in inferential statistics, setting a solid foundation for further study in data analysis and research methodologies.
