the granularity-related inconsistency of means (GRIM) test. It evaluates whether reported averages can be made out of their reported sample sizes. Sample sizes need to be small and the data is of whole numbers (e.g. age or likert scale) and means are reported to two decimals.
The Gaussian distribution, or normal distribution is a key subject in statistics, machine learning, physics, and pretty much any other field that deals with data and probability. It’s one of those subjects, like π or Bayes’ rule, that is so fundamental that people treat it like an icon.
The most common test of statistical significance originated from the Guinness brewery. Here’s how it works
What’s interesting is how long it took for researchers to realize the flaw in Dunning and Kruger’s analysis. Dunning and Kruger published their results in 1999. But it took until 2016 for the mistake to be fully understood. To my knowledge, Edward Nuhfer and colleagues were the first to exhaustively debunk the Dunning-Kruger effect. (See their joint papers in 2016 and 2017.) In 2020, Gilles Gignac and Marcin Zajenkowski published a similar critique.
Once you read these critiques, it becomes painfully obvious that the Dunning-Kruger effect is a statistical artifact. But to date, very few people know this fact. Collectively, the three critique papers have about 90 times fewer citations than the original Dunning-Kruger article.5 So it appears that most scientists still think that the …
By Dorothy Bishop and Paul A Thompson
a basic text that would explain the rationale and potential pitfalls of intervention research, as well as providing a template for good practice in the evaluation and design of intervention studies.
Commenting on the science of unbiased health research with cartoons (by Hilda Bastian)
A Sankey diagram depicts flows of any kind, where the width of each flow pictured is based on its quantity.
Sankey diagrams are very good at showing particular kinds of complex information --
Sankey diagrams can be difficult to produce without specialized software. SankeyMATIC aims to change that.
![img[https://sankeymatic.com/gallery/monthly-budget-thumb.png]]
[img[https://i.ytimg.com/vi/Yhmu-XT8_P8/hqdefault.jpg?sqp=-oaymwEXCNACELwBSFryq4qpAwkIARUAAIhCGAE=&rs=AOn4CLCJ_7jLa1XPUh_8WOolFexUu8hSoA]]
Topics: Data Analysis and Interpretation, Data Descriptors, Probability, Binomial and Normal Distributions, Confidence Intervals, and Hypothesis testing with One Sample.
Pandas Tutor lets you write Python pandas code in your browser and see how it transforms your data step-by-step.
<>rSPRITE is an implementation by Nick Brown of SPRITE, an idea by James Heathers.
rSPRITE simulates data from an integer (e.g., Likert-type) scale in the form of bar charts.
You can request up to 100 samples to be presented on a square grid. You need to specify the minimum and maximum item values of the scale, and the mean, standard deviation, and size of the sample. The charts are presented in increasing order of skewness, from top left to bottom right. <<<<
Pre-course resources to refresh knowledge of math, programming, and neuroscience.
<>The goal of this book is to the tell the story of statistics as it is used today by researchers around the world. It’s a different story than the one told in most introductory statistics books, which focus on teaching how to use a set of tools to achieve very specific goals. This book focuses on understanding the basic ideas of statistical thinking — a systematic way of thinking about how we describe the world and use data make decisions and predictions, all in the context of the inherent uncertainty that exists in the real world. It also brings to bear current methods that have only become feasible in light of the amazing increases in computational power that have happened in the last few decades. Analyses that would …
Presentations by Cochrane SMG.
Easy to use Free/Open Source alternative to SPSS.
The jamovi project was founded to develop a free and open statistical platform which is intuitive to use, and can provide the latest developments in statistical methodology. At the core of the jamovi philosophy, is that scientific software should be “community driven”, where anyone can develop and publish analyses, and make them available to a wide audience.
jamovi aims to be a neutral platform, and takes no position with respect to competing statistical philosophies. The project was not founded to promote a particular statistical ideology, instead wanting to serve as a safe space where different statistical approaches might be published side-by-side, and consider themselves first-rate members of the jamovi community. <<<
أعداد الوفيات كل عام بمصر
Meta-analysis of proportions is observational and non-comparative in nature. Rarely have we seen a study or tutorial demonstrate how a meta-analysis of proportions should be performed using the R programming language.
التعبئة والإحصاء: زيادة نسبة المصريين تحت خط الفقر إلى 32.5%
jamovi is a new “3rd generation” statistical spreadsheet. designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS.
If you’re not planning a long-term career in academia and you only anticipate performing common statistical tests,…
"This course provides an overview of skills needed for reproducible research and open science using the statistical programming language R. Students will learn about data visualisation, data tidying and wrangling, archiving, iteration and functions, probability and data simulations, general linear models, and reproducible workflows. Learning is reinforced through weekly assignments that involve working with different types of data."
Statistics Done Wrong is a guide to the most popular statistical errors and slip-ups committed by scientists every day, in the lab and in peer-reviewed journals.
R Language Tutorials for Data Analysis
Ben Goldacre: Using Benford's law, forensic statisticians can spot suspicious patterns in the raw numbers, and estimate the chances figures have been tampered with