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
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
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)
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Statistics: Introduction (10 of 13) Variability
Visit http://ilectureonline.com for more math and science lectures! We will discuss variability: The accuracy of statistical results depend on the (sources of) variability of the collected data. To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 . Next
From playlist STATISTICS CH 1 INTRODUCTION
Statistics 4 Measures of Dispersion.mov
Discussing range, variance, and standard deviation as measures of dispersion.
From playlist Medical Statistics
Determine Outliers by Hand (Odd)
This video explains how to determine outliers of a data set by hand with an odd number of data values. http://mathispower4u.com
From playlist Statistics: Describing Data
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
Protein Collapse and Folding by Govardhan Reddy
Indian Statistical Physics Community Meeting 2016 URL: https://www.icts.res.in/discussion_meeting/details/31/ DATES Friday 12 Feb, 2016 - Sunday 14 Feb, 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community wh
From playlist Indian Statistical Physics Community Meeting 2016
Dark Matter in Astrophysics by Aseem Paranjape
DISCUSSION MEETING PARTICLE PHYSICS: PHENOMENA, PUZZLES, PROMISES ORGANIZERS: Amol Dighe, Rick S Gupta, Sreerup Raychaudhuri and Tuhin S Roy, Department of Theoretical Physics, TIFR, India DATE: 21 November 2022 to 23 November 2022 VENUE: Ramanujan Lecture Hall and Online While the LH
From playlist Particle Physics: Phenomena, Puzzles, Promises - (Edited)
Traditional sampling techniques (grid vs random vs sobol vs latin hypercube)
Welcome to video #1 of the Adaptive Experimentation series, presented by graduate student Sterling Baird @sterling-baird at the 18th IEEE Conference on eScience in Salt Lake City, UT (Oct 10-14, 2022). In this video, Sterling introduces the concept of adaptive experimentation and covers t
From playlist Optimization tutorial
Giray Ökten: Number sequences for simulation - lecture 1
After an overview of some approaches to define random sequences, we will discuss pseudorandom sequences and low-discrepancy sequences. Applications to numerical integration, Koksma-Hlawka inequality, and Niederreiter’s uniform point sets will be discussed. We will then present randomized q
From playlist Probability and Statistics
MIT RES.TLL-004 Concept Vignettes View the complete course: http://ocw.mit.edu/RES-TLL-004F13 Instructor: Lourdes Aleman In this video, students will learn how to apply Chi square hypothesis testing to experimental data obtained from genetic experiments. License: Creative Commons BY-NC-S
From playlist MIT STEM Concept Videos
Robert Tichy: Quasi-Monte Carlo methods and applications: introduction
VIRTUAL LECTURE Recording during the meeting "Quasi-Monte Carlo Methods and Applications " the October 28, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematician
From playlist Virtual Conference
Giray Ökten: Number sequences for simulation - lecture 2
After an overview of some approaches to define random sequences, we will discuss pseudorandom sequences and low-discrepancy sequences. Applications to numerical integration, Koksma-Hlawka inequality, and Niederreiter’s uniform point sets will be discussed. We will then present randomized q
From playlist Probability and Statistics
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
Statistics (video 1) - Statistics of Datasets
Recordings of the corresponding course on Coursera. If you are interested in exercises and/or a certificate, have a look here: https://www.coursera.org/learn/pca-machine-learning
From playlist Statistics of Datasets
On the Propogation of Uncertainty in Network Summaries: Eric Kolaczyk, Boston University
http://math.bu.edu/people/kolaczyk/biography.html Eric Kolaczyk was born in 1968 in Chicago, Illiinois. He obtained a BS degree in mathematics from the University of Chicago, and MS and PhD degrees in statistics from Stanford University. He has been on the faculty in the Department of Mat
From playlist Turing Seminars
Mylène Maïda: A statistical physics approach to the sine beta process
The universality properties of the Sine process (corresponding to inverse temperature beta equal to 2) are now well known. More generally, a family of point processes have been introduced by Valko and Virag and shown to be the bulk limit of Gaussian beta ensembles, for any positive beta. T
From playlist Probability and Statistics
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