Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Statistics Lecture 3.4 Part 7: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
Statistics Lecture 3.4 Part 2: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
Statistics Lecture 3.4 Part 1: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
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 Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.
From playlist Learning medical statistics with python and Jupyter notebooks
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Elliot Kaplan, McMaster Unviersity
October 7, Elliot Kaplan, McMaster Unviersity Generic derivations on o-minimal structures
From playlist Fall 2021 Online Kolchin Seminar in Differential Algebra
Lien-Yung Kao: Unique equilibrium states for geodesic flows over manifolds without focal-points
We study dynamics of geodesic flows over closed surfaces of genus greater than or equal to 2 without focal points. Especially, we prove that there is a large class of potentials having unique equilibrium states, including scalar multiples of the geometric potential, provided the scalar is
From playlist Jean-Morlet Chair - Pollicott/Vaienti
Can p-adic integrals be computed? - Thomas Hales
Automorphic Forms Thomas Hales April 6, 2001 Concepts, Techniques, Applications and Influence April 4, 2001 - April 7, 2001 Support for this conference was provided by the National Science Foundation Conference Page: https://www.math.ias.edu/conf-automorphicforms Conference Agena: ht
From playlist Mathematics
Alexandra SHLAPENTOKH - Defining Valuation Rings and Other Definability Problems in Number Theory
We discuss questions concerning first-order and existential definability over number fields and function fields in the language of rings and its extensions. In particular, we consider the problem of defining valuations rings over finite and infinite algebraic extensions
From playlist Mathematics is a long conversation: a celebration of Barry Mazur
Non-negatively Weighted #CSPs: An Effective Complexity Dichotomy - Xi Chen
Xi Chen Columbia University March 28, 2011 We prove a complexity dichotomy theorem for all non-negatively weighted counting Constraint Satisfaction Problems (#CSP). This caps a long series of important results on counting problems including unweighted and weighted graph homomorphisms and t
From playlist Mathematics
Interaction Design for the Quantified Self
(October 14, 2011) Dr. Paul Sas reviews the personal tracking tools used by the Quantified Self movement and explores the lessons that Quantified Self can teach interaction designers, with a focus on the psychological and behavioral dimensions. Stanford University: http://www.stanford.edu
From playlist Lecture Collection | Human-Computer Interaction Seminar (2011-2012)
Heather Harrington (12/10/18): Multi-parameter persistent homology and applications
Multi-parameter persistent homology and applications
From playlist AATRN 2018
Learning Logically Defined Hypotheses - Martin Grohe, RWTH Aachen University
I will introduce a declarative framework for machine learning where hypotheses are defined by formulas of a logic over some background structure. Within this framework, I will discuss positive as well as negative learnability results (in the "probably approximately correct" learning sense)
From playlist Logic and learning workshop
Sums of Two Cubes by Ari Shnidman
PROGRAM ELLIPTIC CURVES AND THE SPECIAL VALUES OF L-FUNCTIONS (HYBRID) ORGANIZERS: Ashay Burungale (CalTech/UT Austin, USA), Haruzo Hida (UCLA), Somnath Jha (IIT Kanpur) and Ye Tian (MCM, CAS) DATE: 08 August 2022 to 19 August 2022 VENUE: Ramanujan Lecture Hall and online The program pla
From playlist ELLIPTIC CURVES AND THE SPECIAL VALUES OF L-FUNCTIONS (2022)
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)
First-order rigidity, bi-interpretability, and congruence subgroups - Nir Avni
Arithmetic Groups Topic: First-order rigidity, bi-interpretability, and congruence subgroups Speaker: Nir Avni Affiliation: Northwestern University Date: October 13, 2021 I'll describe a method for analyzing the first-order theory of an arithmetic group using its congruence quotients. W
From playlist Mathematics