Statistics-related lists | Probability and statistics
This glossary of statistics and probability is a list of definitions of terms and concepts used in the mathematical sciences of statistics and probability, their sub-disciplines, and related fields. For additional related terms, see Glossary of mathematics and Glossary of experimental design. (Wikipedia).
Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.2: A Study of Probability Distributions, Mean, and Standard Deviation
From playlist Statistics (Full Length Videos)
Statistics: Introduction (13 of 13) What is the Difference Between Statistics and Probability?
Visit http://ilectureonline.com for more math and science lectures! We will discuss the difference between statistics and probability. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . First video in this series can be seen at: https://youtu.be/C6jd
From playlist THE "WHAT IS" PLAYLIST
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
Statistics: Ch 4 Probability in Statistics (20 of 74) Definition of Probability
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the “strict” definition of experimental (empirical) and theoretical probability. Next video in this series can be seen
From playlist STATISTICS CH 4 STATISTICS IN PROBABILITY
Random variables, means, variance and standard deviations | Probability and Statistics
We introduce the idea of a random variable X: a function on a probability space. Associated to such a function is something called a probability distribution, which assigns probabilities, say p_1,p_2,...,p_n to the various possible values of X, say x_1,x_2,...,x_n. The probabilities p_i h
From playlist Probability and Statistics: an introduction
Statistics - The vocabulary of statistics
This video will give show you a few terms that are used in statistics such as data, population, sample, parameter, statistic, and variable. Remember that it matters if you are talking about the whole group, or a portion of that group. For more videos please visit http://www.mysecretmatht
From playlist Statistics
Bad Math Glossary, or Soviet Propaganda?
A review of "The Algebra Tutor, Algebra 1 and Algebra 2, Volume 1". A textbook/workbook by Willie L. Thomas. It has a great propaganda-esque cover design, and a very finicky glossary to put it nicely. #mathbook #math 00:00 Rest of the Review 19:33 The Bad Glossary 23:00 End Buy a copy o
From playlist The Math Library
Statistics Lecture 5.4: Finding Mean and Standard Deviation of a Binomial Probability Distribution
https://www.patreon.com/ProfessorLeonard Statistics Lecture 5.4: Finding the Mean and Standard Deviation of a Binomial Probability Distribution
From playlist Statistics (Full Length Videos)
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Stanford Webinar - How to Avoid the Biggest Risks in Risk Management
Join Stanford Professor Sam Savage as he discusses common pitfalls and blind spots in risk modeling. Learn how to minimize uncertainties, protect your organization, and build a culture that thrives. In a special portion of this webinar, you will get to engage directly with Professor Savage
From playlist Leadership & Management
An Oxford glossary, and a collab video! - TT2013 Week 4
Dum Dum Dum Dum Dum. That's the sound of my exams approaching. More to follow. This week I apologise for being such a physicist (and having the accompanying exams), give you a very brief Oxford glossary and discuss future collaboration plans with the venerable Jamie. As ever comments, sug
From playlist Oxvlogs
Ex: Determine Conditional Probability from a Table
This video provides two examples of how to determine conditional probability using information given in a table.
From playlist Probability
OpenStack on Ales 2013 - Gluster + OpenStack: The 2 Great Tastes...
By John Mark Walker With the release of GlusterFS 3.4 and OpenStack Grizzly, there is now integration across all major storage interfaces in OpenStack and GlusterFS. Specifically, the Glance, Cinder and Swift interfaces all now have direct access to GlusterFS volumes. Furthermore, with the
From playlist OpenStack On Ales 2013
OWASP AppSec USA 2010: OWASP Secure Coding Practices Quick Reference Guide 1/2
Speaker: Keith Turpin, Boeing More information can be found on the OWASP website: http://bit.ly/hY4bqh Source: http://bit.ly/owasp_appsec_us_2010
From playlist OWASP AppSec USA 2010
Block Analysis for the Calculation of Dynamic and Static Length Scales by Smarajit Karmakar
Indian Statistical Physics Community Meeting 2018 DATE:16 February 2018 to 18 February 2018 VENUE:Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community which is attended by scientists, postdoctoral fellows, and graduate s
From playlist Indian Statistical Physics Community Meeting 2018
Gallai-Edmonds Percolation by Kedar Damle
DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December
From playlist Statistical Physics of Complex Systems - 2022
RubyConf 2017: Finding Beauty in the Mundane by Max Tiu
Finding Beauty in the Mundane by Max Tiu Amongst the exciting challenges of making software, there are some tasks we go out of our way to avoid: linting files, updating dependencies, writing documentation. But even the "boring" parts of the job are opportunities to make big changes for th
From playlist RubyConf 2017
Building Beautiful Systems with Phoenix Contexts and DDD
Phoenix contexts are a powerful code organization tool - but without a clear idea of what business domains live under the hood of your systems, naively creating contexts leads to over-engineered, fragile systems. Today, we’ll learn about the philosophical roots of Bounded Contexts from the
From playlist Functional Programming
(PP 6.6) Geometric intuition for the multivariate Gaussian (part 1)
How to visualize the effect of the eigenvalues (scaling), eigenvectors (rotation), and mean vector (shift) on the density of a multivariate Gaussian.
From playlist Probability Theory
Lesson 1.2 The MATLAB Environment
A video segment from the Coursera MOOC on introductory computer programming with MATLAB by Vanderbilt. Lead instructor: Mike Fitzpatrick. Check out the companion website and textbook: http://cs103.net
From playlist Vanderbilt: Introduction to Computer Programming with MATLAB (CosmoLearning Computer Programming)