Multivariate statistics | Statistical models
In statistics, reification is the use of an idealized model of a statistical process. The model is then used to make inferences connecting model results, which imperfectly represent the actual process, with experimental observations. Also, a process whereby model-derived quantities such as principal components, factors and latent variables are identified, named and treated as if they were directly measurable quantities. (Wikipedia).
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
The Mathematics of Population Growth Using Linear Models
Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.
From playlist Discrete Math
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
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)
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics
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
The Meat of It - Ryan Kitchens - REdeploy 2019
Incident Reviews in Software have a tendency to rely on seemingly satisfying yet shallow and misleading oversimplifications, hiding from us that what we think is ‘the meat of it’ is rather an empty bite. Resilience Engineering warns us about boiling down complex situations to simple expla
From playlist REdeploy 2019
September 5, 2007 presentation by Ralph Horwitz for the Stanford School of Medicine Medcast lecture series. Ralph Horwitz, MD, professor of medicine at Stanford discusses how measurement can both strengthen and weaken clinical science and care. Often overlooked amid today's enthusiasm
From playlist Feature | Medcast
Ethics and Computational Social Science (Part 2)
In the second of two videos, Professor Matt Salganik of Princeton University discusses ethical issues in the field of Computational Social Science. Link to slides used in this video: https://github.com/compsocialscience/summer-institute/blob/master/2020/materials/day1-intro-ethics/ethics_p
From playlist SICSS 2020
Statistics: Introduction (12 of 13) Sampling: Definitions and Terms
Visit http://ilectureonline.com for more math and science lectures! We will review a sampling of definitions and terms of statistics: census, sampling frame, sampling plan, judgment sample, probability samples, random samples, systematic sample, stratified sample, and cluster sample. To
From playlist STATISTICS CH 1 INTRODUCTION
Khaled El Emam interviewed at Strata Rx
Khaled El Emam Canada Research Chair in Electronic Health Information, Children's Hospital of Eastern Ontario - Research Institute & University of Ottawa Dr. Khaled El Emam is an Associate Professor at the University of Ottawa, Faculty of Medicine, a senior investigator at the Children'
From playlist Strata Rx
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
11. Marx's Theory of Historical Materialism (cont.)
Foundations of Modern Social Thought (SOCY 151) Today we cover the transition from the young Marx, with his emphasis on change and action, to the mature Marx who turns toward positivist science and determinism, arguing that capitalism will have to fail. Through a closer look at Marx's "
From playlist Foundations of Modern Social Theory with Iván Szelényi
Introduction to Scientific Visualization
Presented by Bill Sherman. 2018-2019 Scientific Visualization Workshop at Indiana University. Filmed Aug 29, 2018. This workshop series highlights a variety of topics related to scientific visualization. Principles of perception, along with techniques and tools for creating visualizatio
From playlist Scientific Visualization Workshop Series
Data Visualization: Types of Data
Here I introduce different types of data and highlight common ways to visualize them. Bing Brunton's website: www.bingbrunton.com
From playlist Intro to Data Science
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