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www.johnmyleswhite.com | ||
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jaydaigle.net
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| | | | | This is the second-part of a three-part series on hypothesis testing. Today we'll look at the way we do hypothesis testing in practice, and how it tends to fail. Modern researchers use hypothesis testing as a tool to develop knowledge, but it's really a tool for making decisions, and so it encourages us to draw strong conclusions from weak evidence. It also encourages us to view studies that don't reject the null hypothesis as failures, which leads even honest and dedicated researchers to do shoddy resea... | |
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www.statsblogs.com
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izbicki.me
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| | | | | [AI summary] This post explains how to create loaded dice for the board game Settlers of Catan, demonstrating a bias that can give a player an advantage, and discusses statistical methods to prove the bias while highlighting limitations in scientific testing. | |
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doomlab.github.io
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| | | Shiny Apps Each Shiny application is listed below, along with any relevant publication information. MOTE: Magnitude of the Effect Shiny App GitHub Research Paper This app allows you to calculate many effect sizes and their confidence intervals. We have included mean differences and variance overlap effect sizes, their formulas, easy to copy output in APA style, help videos on how to use our app, and code for R users. Alternatives to Null Hypothesis Significance Testing Shiny App GitHub Research Paper This app provides color visualization of the data from our paper that focuses on alternatives to NHST procedures. | ||
