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
I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census, then introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. Check out http://www.ProfRo
From playlist AP Statistics
Understanding Uncertainty | After Dark Online
As our nation prepares for a major election, After Dark takes a month-long look at some key factors that influence personal and collective decision making—and the effect these influences have on the democratic process. Uncertainty: it’s certainly uncomfortable. It’s also unavoidable in an
From playlist After Dark Online | Thursday Nights | Exploratorium
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 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)
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
Surveys allow you to collect information from a group of people. We’ll discuss different #survey formats, and how to ensure that a survey is accurate. To learn more basic concepts in #statistics, check out the free tutorial on our website: https://edu.gcfglobal.org/en/statistics-basic-conc
From playlist Basic Statistics
SICSS 2017 - Why SICSS? (Day 1. June 19, 2017)
The first Summer Institute in Computational Social Science was held at Princeton University from June 18 to July 1, 2017, sponsored by the Russell Sage Foundation. For more details, please visit https://compsocialscience.github.io/summer-institute/2017/
From playlist SICSS 2017 - Introduction (6/19)
Emma Zang Talks About the Impact of Chinese Divorce Reform
Emma Zang, assistant professor of sociology, talks about the impact of Chinese divorce reform. Professor Zang’s research interests lie at the intersection of health and aging, marriage and family, and inequality. She is particularly interested in developing and evaluating methods to model
From playlist The MacMillan Report
SICSS 2018 - Four areas of difficulty in computational social science (Day 1. June 18, 2018)
Matt Salganik talks about informed consent, informational risk, privacy, and making decisions in the face of uncertainty in computational social science at the 2018 Summer Institute in Computational Social Science at Duke University. Slides and materials available here: https://compsocials
From playlist SICSS 2018 - Introduction and Ethics (6/18)
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
How to Publish a Book in Computational Social Science
Dr. Chris Bail, Professor of Sociology and Public Policy at Duke University and Director of the Summer Institutes in Computational Social Science, talks about how to publish a book in computational social science.
From playlist SICSS 2022
Human Flourishing and Causal Inference
Public Lecture by Tyler J. VanderWeele (Harvard University)
From playlist Public Lectures
Powered by https://www.numerise.com/ Census, sample & bias
From playlist Collecting data
Statistics: Collecting Data Exercises
This video covers sample, population, qualitative data, quantitative data, sampling methods, sampling bias, experimental and observational studies, and the types of experiments. http://mathispower4u.com
From playlist Introduction to Statistics
The Life and Time of Thomas Hobbes
In this lecture, Professor Jeffrey Collins (Queen’s University) explores the life and times of Thomas Hobbes. We touch upon his schooling at Oxford and academic interests while studying there, and consider more broadly the intellectual context within which Hobbes lived and wrote. Firstly,
From playlist Government and Politics
Steve Chin interviewed at Android Open SF 2011
Steve Chin is the Chief Agile Methodologist for GXS.
From playlist Android Open 2011
Stephen Chin discusses JavaFX and the state of client-side Java
Stephen Chin discussed JavaFX and the state of client-side Java with O'Reilly Media at Oracle's OpenWorld/JavaOne 2011 conference. In this interview Chin discusses the viability of JavaFX as a mobile development platform and also talks about his recent work to adapt JavaFX to alternative
From playlist Java for Radar
Statistics Lecture 1.5 Part 1: Sampling Techniques
From playlist Statistics Playlist 1
Electrical Engineering: Ch 3: Circuit Analysis (7 of 37) Nodal Analysis w/ Current Sources: Ex. 4
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the currents of a circuits with a dependent and an independent current source using nodal analysis. Next video in this series can be seen at: https://youtu.be/MA91dnxH65M
From playlist ELECTRICAL ENGINEERING 3 CIRCUIT ANALYSIS