This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Statistic vs Parameter & Population vs Sample
This stats video tutorial explains the difference between a statistic and a parameter. It also discusses the difference between the population and sample. It includes examples such as the sample mean, population mean, sample standard deviation, population standard deviation, sample propo
From playlist Statistics
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)
Find x given the z-score, sample mean, and sample standard deviation
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Find x given the z-score, sample mean, and sample standard deviation
From playlist Statistics
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Determine if the Value is a Statistic or Parameter MyMathlab Homework Problem
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Value is a Statistic or Parameter MyMathlab Homework Problem
From playlist Statistics
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
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
Finding a Standardized Test Statistic
How to calculate a standardized test statistic.
From playlist Normal Distributions
Dusting for Fingerprints in Private Data - Jon Ullman
Differential Privacy Symposium: Four Facets of Differential Privacy Saturday, November 12, 2016 https://www.ias.edu/differential-privacy More videos on http://video.ias.edu
From playlist Differential Privacy Symposium - November 12, 2016
Sumit Das - Introduction to statistical field theory (1)
PROGRAM: BANGALORE SCHOOL ON STATISTICAL PHYSICS - V DATES: Monday 31 Mar, 2014 - Saturday 12 Apr, 2014 VENUE: Raman Research Institute, Bangalore PROGRAM LINK: http://www.icts.res.in/program/BSSP2014 This advanced level school was started in 2010 at the Raman Research Institute, Banga
From playlist Bangalore School on Statistical Physics - V
Follow Up ANOVA – Tukey’s HSD Post Hoc Test (12-5)
When an ANOVA is significant, you need a follow-up test to tell which group is different from which other groups. For our statistically significant Wizard of Oz ANOVA we will use Tukey’s Honestly Significant Difference Post-Hoc Test to figure out which regions of Oz have more wicked witche
From playlist WK12 One-Way ANOVA - Online Statistics for the Flipped Classroom
Statistical Learning: 13.R.1 Bonferroni and Holm II
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Chapter 8.2: Hypothesis Tests about a Proportion
Chapter 8.2 from "Introduction to Statistics, Think & Do" by Scott Stevens (http://www.StevensStats.com) Textbook from Publisher, $29.95 print, $9.95 PDF http://www.centerofmathematics.com/wwcomstore/index.php/thinkdov4-1.html Textbook from Amazon: https://amzn.to/2zJRCjL
From playlist Statistics Lecture Videos
Eilam Gross: Statistics for High Energy Physics 📊 2/3⎪CERN
The lectures emphasize the frequentist approach used for Dark Matter search and the Higgs search, discovery and measurements of its properties. An emphasis is put on hypothesis test using the asymptotic formulae formalism and its derivation, and on the derivation of the trial factor formu
From playlist CERN Academic Lectures
Jon Keating: Random matrices, integrability, and number theory - Lecture 4
Abstract: I will give an overview of connections between Random Matrix Theory and Number Theory, in particular connections with the theory of the Riemann zeta-function and zeta functions defined in function fields. I will then discuss recent developments in which integrability plays an imp
From playlist Analysis and its Applications
Statistical and Computational Results involving Optimal Transport... by Jose Blanchet
PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
36th Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Title: Methods for $\ell_p$-$\ell_q$ minimization with applications to image restoration and regression with nonconvex loss and penalty. Date: December 1, 2021, 10:00am Eastern Time Zone (US & Canada) / 2:00pm GMT Speaker: Lothar Reichel, Kent State University Abstract: Minimization prob
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Vic Reiner, Lecture I - 9 February 2015
Vic Reiner (University of Minnesota) - Lecture I http://www.crm.sns.it/course/4036/ Many results in the combinatorics and invariant theory of reflection groups have q-analogues for the finite general linear groups GLn(Fq). These lectures will discuss several examples, and open questions a
From playlist Algebraic topology, geometric and combinatorial group theory - 2015
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)