You’ve heard about similar triangles, but do you know what technically makes two triangles similar? Informally, we can say that two triangles are similar if their associated angles are congruent. In other words, their angle measures have to be the same. However, the triangles don’t necess
From playlist Popular Questions
Statistics - How to find outliers
This video covers how to find outliers in your data. Remember that an outlier is an extremely high, or extremely low value. We determine extreme by being 1.5 times the interquartile range above Q3 or below Q1. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
This video introduces similarity and explains how to determine if two figures are similar or not. http://mathispower4u.com
From playlist Number Sense - Decimals, Percents, and Ratios
Statistics - Compute the interquartile range
This video shows how to compute the interquartile range for a set of data. Remember to reorganize the data so that you can find the median values easier. For more videos visit http://mysecretmathtutor.com
From playlist Statistics
Given two similar triangles determine the values of x and y for the angles
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
How to determine if two triangles are similar using proportions and altitude
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
Using a set of points to determine if two triangles are similar to each other
👉 Learn how to determine whether two triangles are similar given the coordinate points of the vertices of the triangle. Two triangles are said to be equal when the corresponding angles of the triangles are congruent (equal) or when the corresponding side lengths are proportional. When give
From playlist Similar Triangles
How to use proportions for an isosceles triangle
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
Using Similarity and proportions to find the missing values
👉 Learn how to solve with similar triangles. Two triangles are said to be similar if the corresponding angles are congruent (equal). Note that two triangles are similar does not imply that the length of the sides are equal but the sides are proportional. Knowledge of the length of the side
From playlist Similar Triangles
Efficiently Learning Mixtures of Gaussians - Ankur Moitra
Efficiently Learning Mixtures of Gaussians Ankur Moitra Massachusetts Institute of Technology January 18, 2011 Given data drawn from a mixture of multivariate Gaussians, a basic problem is to accurately estimate the mixture parameters. We provide a polynomial-time algorithm for this proble
From playlist Mathematics
Thermalization in closed quantum many-body systems I: Basic notions by Stefan Kehrein
Open Quantum Systems DATE: 17 July 2017 to 04 August 2017 VENUE: Ramanujan Lecture Hall, ICTS Bangalore There have been major recent breakthroughs, both experimental and theoretical, in the field of Open Quantum Systems. The aim of this program is to bring together leaders in the Open Q
From playlist Open Quantum Systems
The Difference between Math and Stats | Nathan Dalaklis
How are Math and Stats different? The relationship between the axiomatic logic of mathematics and the experimental nature of statistics and statistical methods makes the distinction clear, but stats is often lumped in with mathematics. So when should math be used and when is math not enoug
From playlist The New CHALKboard
Statistical Rethinking 2022 Lecture 06 - Good & Bad Controls
Slides and other course materials: https://github.com/rmcelreath/stat_rethinking_2022 Intro video: https://www.youtube.com/watch?v=6erBpdV-fi0 Intro music: https://www.youtube.com/watch?v=Pc0AhpjbV58 Chapters: 00:00 Introduction 01:23 Parent collider 08:13 DAG thinking 27:48 Backdoor cri
From playlist Statistical Rethinking 2022
Statistical Rethinking 2023 - 06 - Good & Bad Controls
Course details: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=PDohhCaNf98 Outline 00:00 Introduction 01:43 Causal implications 14:28 do-calculus 16:59 Backdoor criterion 40:48 Pause 41:22 Good and bad controls 1:09:34 Summary 1:26:27 Bonu
From playlist Statistical Rethinking 2023
Geodesic Random Line Processes and the Roots of Quadratic Congruences by Jens Marklof
PROGRAM : ERGODIC THEORY AND DYNAMICAL SYSTEMS (HYBRID) ORGANIZERS : C. S. Aravinda (TIFR-CAM, Bengaluru), Anish Ghosh (TIFR, Mumbai) and Riddhi Shah (JNU, New Delhi) DATE : 05 December 2022 to 16 December 2022 VENUE : Ramanujan Lecture Hall and Online The programme will have an emphasis
From playlist Ergodic Theory and Dynamical Systems 2022
Introduction to Probability and Statistics 131B. Lecture 14.
UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 14. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creativ
From playlist Introduction to Probability and Statistics 131B
Large-scale clustering with counts-in-cells statistics - C. Uhlemann - Workshop 1 - CEB T3 2018
Cora Uhlemann (DAMTP Cambridge) / 21.09.2018 Large-scale clustering with counts-in-cells statistics ---------------------------------- Vous pouvez nous rejoindre sur les réseaux sociaux pour suivre nos actualités. Facebook : https://www.facebook.com/InstitutHenriPoincare/ Twitter : http
From playlist 2018 - T3 - Analytics, Inference, and Computation in Cosmology
Engineering CEE 20: Engineering Problem Solving. Lecture 16
UCI CIvil & Environmental Engineering 20 Engineering Problem Solving (Spring 2013) Lec 16. Engineering Problem Solving View the complete course: http://ocw.uci.edu/courses/cee_20_introduction_to_computational_engineering_problem_solving.html Instructor: Jasper Alexander Vrugt, Ph.D. Lice
From playlist Engineering CEE 20: Engineering Problem Solving
PubHlth 194: Clinc Trans Rsrch-A. Lec 8: Biostatistics, Epidemiology and Research Design (BERD)
UCI PubHlth 194: Clinical and Translational Research Preparatory I (Fall 2012) Lec 08. Clinical and Translational Research Preparatory I -- Biostatistics, Epidemiology and Research Design (BERD) -- View the complete course: http://ocw.uci.edu/courses/pubhlth_194a_clinical_and_translational
From playlist PubHlth 194: Clinical & Translational Research Preparatory-A