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  1. seeing-theory.brown.eduSeeing Theory

    Seeing Theory was created by Daniel Kunin while an undergraduate at Brown University. The goal of this website is to make statistics more accessible through interactive visualizations (designed using Mike Bostock’s JavaScript library D3.js ).

  2. Viendo la Teoría. Una introducción visual a probabilidad y estadística. Comenzar. Probabilidad Básica. Probabilidad Compuesta. Distribuciones de Probabilidad. Inferencia Frecuentista. Inferencia Bayesiana. Análisis de Regresión.

  3. Probability theory is the mathematical framework that allows us to analyze chance events in a logically sound manner. The probability of an event is a number indicating how likely that event will occur. This number is always between 0 and 1, where 0 indicates impossibility and 1 indicates certainty.

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  4. Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.

  5. Seeing Theory is a project designed and created by Daniel Kunin with support from Brown University's Royce Fellowship Program and National Science Foundation group STATS4STEM. The goal of the project is to make statistics more accessible to a wider range of students through interactive visualizations.

  6. 18 de abr. de 2017 · Seeing Theory permite visualizar los conceptos fundamentales que se estudian en un curso universitario introductorio de estadística. Los temas cubiertos son: Probabilidad Básica, Probabilidad Compuesta, Distribuciones, Inferencia Estadística y Regresión Lineal.

  7. Using Mike Bostock’s versatile JavaScript library D3.js, Seeing Theory visualizes the fundamental concepts covered in the standard introductory college or Advanced Placement course in classical statistics.