This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Random Processes and Stationarity
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to describing random processes using first and second moments (mean and autocorrelation/autocovariance). Definition of a stationa
From playlist Random Signal Characterization
(PP 3.1) Random Variables - Definition and CDF
(0:00) Intuitive examples. (1:25) Definition of a random variable. (6:10) CDF of a random variable. (8:28) Distribution of a random variable. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
Randomness - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
We present the results from our embarrassing survey and find out how many of you pick your nose. This was an application of Randomised Response. Then, after a little introduction to statistics, we invite you to take part in another embarrassing survey using a slightly different method: Hav
From playlist My Maths Videos
Random Sampling - Statistical Inference
In this video I talk about Random Sampling - I give you a full, in-depth primer about random sampling and what sampling is in general. I then discuss the two ways of taking a random sample from a population (1st way: No replacement; 2nd way: With replacement) and point out the difference b
From playlist Statistical Inference
This lesson reviews sources of bias when conducting a survey or poll. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Introduction to Random Signal Representation
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to the concept of a random signal, then review of probability density functions, mean, and variance for scalar quantities.
From playlist Random Signal Characterization
Sampling Techniques & Cautions (Full Length)
I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census. I introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. I discuss Stratified Random S
From playlist AP Statistics
STAT 200 Lesson 1 Lecture Video
Table of Contents: 00:00 - Introduction 00:52 - Learning Objectives 01:24 - 1. Identify cases and variables in a research study 02:30 - 2. Classify variables as categorical or quantitative 05:35 - 3. Identify explanatory and response variables in a research study 07:25 - 4. Distinguish b
From playlist STAT 200 Video Lectures
R - Multilevel Models Lecture (Updated)
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2017 This video is a rerecording of a multilevel model lecture I gave a while back - covers the ideas behind MLM and how to run a model in R using nlme. The example is new! Lecture materials and assignment available at sta
From playlist Advanced Statistics Videos
Mod-13 Lec-35 Measurement Errors and Calibration Problem
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Zero Knowledge Proofs - Seminar 4 - Non-interactive Zero Knowledge
This seminar series is about the mathematical foundations of cryptography. In this series Eleanor McMurtry is explaining Zero Knowledge Proofs (ZKPs). This seminar continues the development of non-interactive Zero Knowledge protocols, closing in on systems that can be used in practice. Yo
From playlist Metauni
0030 - C++ programming: Developing a Web Server from scratch
This is #30 in my series of live (Twitch) coding streams, working on writing my own web server and service framework in C++. This stream I almost finished up WebSockets. It took a bit more time than I expected. I brought in some libraries I needed: SHA-1 hash algorithm, Base64 encoder,
From playlist Excalibur
Zero Knowledge Proofs - Seminar 4 - From interactive to non-interactive
This seminar series is about the mathematical foundations of cryptography. In this series Eleanor McMurtry is explaining Zero Knowledge Proofs (ZKPs). This seminar explains how to construct *non-interactive* ZKPs which are much more practical than the schemes discussed so far in the semina
From playlist Metauni
Black Hat USA 2010: Understanding the Windows SMB NTLM Weak Nonce Vulnerability 3/5
Speakers: Hernan Ochoa, Agustin Azubel In February 2010, we found a vulnerability in the SMB NTLM Windows Authentication mechanism that have been present in Windows systems for at least 14 years (from Windows NT 4 to Windows Server 2008). You probably haven't heard about this vulnerabilit
From playlist BH USA 2010 - OS WARS
Can You Solve the Hardest Logic Puzzle Ever?
You have three yes/no questions to identify three gods: the god who always answers truthfully, the god who always lies, and the god who randomly mixes true and false answers. One big problem: They answer in their own language, which you don’t speak. What do you do? This video is episode s
From playlist Math and Statistics
Prob & Stats - Random Variable & Prob Distribution (1 of 53) Random Variable
Visit http://ilectureonline.com for more math and science lectures! In this video I will define and gives an example of what is a random variable. Next video in series: http://youtu.be/aEB07VIIfKs
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Out of equilibrium dynamics of complex systems-3 by Leticia Cugliandolo
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021