正确使用统计工具进行实验室实验:一个简单的动手教程

T. Sakai
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引用次数: 0

摘要

这个实践性半天的教程包括两个部分。第一部分包括以下主题:绪论;配对和双样本t检验,置信区间;无复制的单因素方差分析和双因素方差分析;家庭误差率。第二部分涵盖以下主题:Tukey的HSD测试,同时置信区间;随机试验和随机Tukey HSD试验;统计显著性检验有什么问题?效应量,统计威力;主题集规模设计及功效分析;总结:如何报告你的结果。参与者应该对统计显著性测试的基本知识有所了解,并强烈建议他们携带一台已经安装了R的笔记本电脑。他们将学习如何设计和进行统计显著性测试,以适当地比较两个或多个系统的平均有效性分数,并以翔实的方式报告测试结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial
This hands-on half-day tutorial consists of two sessions. Part~I covers the following topics: Preliminaries; Paired and two-sample t-tests, confidence intervals; One-way ANOVA and two-way ANOVA without replication; Familiwise error rate. Part~II covers the following topics: Tukey's HSD test, simultaneous confidence intervals; Randomisation test and randomised Tukey HSD test; What's wrong with statistical significance tests?; Effect sizes, statistical power; Topic set size design and power analysis; Summary: how to report your results. Participants should have some prior knowledge about the very basics of statistical significance testing and are strongly encouraged to bring a laptop with R already installed. They will learn how to design and conduct statistical significance tests for comparing the mean effectiveness scores of two or more systems appropriately, and to report on the test results in an informative manner.
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