In statistics, a proxy or proxy variable is a variable that is not in itself directly relevant, but that serves in place of an unobservable or immeasurable variable. In order for a variable to be a good proxy, it must have a close correlation, not necessarily linear, with the variable of interest. This correlation might be either positive or negative. Proxy variable must relate to an unobserved variable, must correlate with disturbance, and must not correlate with regressors once the disturbance is controlled for. (Wikipedia).
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
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)
Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics
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
Populations, Samples, Parameters, and Statistics
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Populations, Samples, Parameters, and Statistics
From playlist 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
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
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
What the Hockey Stick missed about climate change
The infamous hockey stick figure was published in 1999. A new paper just blew it out of the water with an INCREDIBLE reconstruction. Support the channel by signing up for Nebula (if you use my code you get 40% off): https://go.nebula.tv/simonclark (link updated March 2023) You may have al
From playlist Science videos
Lechaudel-Porquet : Counter - EzPaarse
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Documentation mathématique
Ethical Hacking | How To Perform Network Analysis | Session 06 | #cybersecurity
Don’t forget to subscribe! This ethical hacking tutorial series is about how to perform network analysis using Wireshark, Snort & SO Performing Network Analysis is imperative to best secure networks, production systems, or even at home. Using common analytics tools such as the ELK sta
From playlist Perform Network Analysis
27c3: Contemporary Profiling of Web Users
Speakers: Dominik Herrmann, lexi On Using Anonymizers and Still Get Fucked This talk will provide a summary of recently discovered methods which allow to break the Internet's privacy and anonymity. We will show, amongst others: * ways of distinguishing bots from humans. We use this
From playlist 27C3: We come in peace
27c3: Contemporary Profiling of Web Users (en)
Speakers: Dominik Herrmann , lexi On Using Anonymizers and Still Get Fucked This talk will provide a summary of recently discovered methods which allow to break the Internet's privacy and anonymity. We will show, amongst others: •ways of distinguishing bots from humans. We use th
From playlist 27C3: We come in peace
Lecture 8 - Scores and Rankings I
This is Lecture 8 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www.
From playlist CSE519 - Data Science Fall 2016
Galaxy Clusters (Lecture 3) by Stefano Borgani
Program Cosmology - The Next Decade ORGANIZERS : Rishi Khatri, Subha Majumdar and Aseem Paranjape DATE : 03 January 2019 to 25 January 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore The great observational progress in cosmology has revealed some very intriguing puzzles, the most i
From playlist Cosmology - The Next Decade
DEFCON 15: Securing the Tor Network
Mike Perry Mad Computer Scientist, fscked.org evil labs Imagine your only connection to the Internet was through a potentially hostile environment such as the Defcon wireless network. Worse, imagine all someone had to do to own you was to inject some html that runs a plugin or some clever
From playlist DEFCON 15
ETH Lec 02. Data and Empirics II: Distributions (01/03/2012)
Course: ETH - Collective Dynamics of Firms (Spring 2012) From: ETH Zürich Source: http://www.video.ethz.ch/lectures/d-mtec/2012/spring/363-0543-00L/b0cfc537-1b86-4d4c-88c3-ce932c1156c1.html
From playlist ETH Zürich: Collective Dynamics of Firms (Spring 2012) | CosmoLearning.org Finance
Caterina De Bacco: "Matrix product states for modeling dynamical processes on networks"
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Matrix product states for modeling dynamical processes on networks" Caterina De Bacco - Max Planck Institute for Intelligent Systems Abstract: In the last
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
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