Posts with the tag « statistics » :

🔗 Understanding Gaussians

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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 Dunning-Kruger Effect is Autocorrelation

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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 …

🔗 Sankey Diagram Builder

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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 --

  • Where money came from & went to (budgets, contributions)
  • Flows of energy from source to destination
  • Flows of goods from place to place
  • ...and potentially many more.

Sankey diagrams can be difficult to produce without specialized software. SankeyMATIC aims to change that.

![img[https://sankeymatic.com/gallery/monthly-budget-thumb.png]]

🔗 Professor Leonard - Statistics Video Lectures

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[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.

🔗 CrumpLab Books

  • Instances of Cognition
  • Reproducible statistics for psychologists with R: Lab Tutorials
  • Using R for Reproducible Research: Student contributed tutorials
  • Answering Questions with Data: Introductory Statistics for Psychology Students
  • Answering Questions with Data: The Lab Manual
  • Answering Questions with Data: The Course Website
  • Research Methods for Psychology
  • Cognitive Technologies: From Theory and Data to Application
  • Open tools for writing open interactive textbooks (and more)
  • Programming for Psychologists: Data Creation and Analysis

🔗 rSPRITE beta 0.17

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<>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. <<<<

🔗 Statistical Thinking for the 21st Century

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<>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 …

🔗 Jamovi

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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. <<<

🔗 Data Skills for Reproducible Science

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"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."