Analysis of variance | Effect size
In statistics, the standardized mean of a contrast variable (SMCV or SMC), is a parameter assessing effect size. The SMCV is defined as mean divided by the standard deviation of a contrast variable. The SMCV was first proposed for one-way ANOVA cases and was then extended to multi-factor ANOVA cases. (Wikipedia).
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Variance (4 of 4: Proof of two formulas)
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From playlist Random Variables
RELATIONSHIPS Between Variables: Standardized Covariance (7-1)
Correlation is a way of measuring the extent to which two variables are related. The term correlation is synonymous with “relationship.” Variables are related when changes in one variable are consistently associated with changes in another variable. Dr. Daniel reviews Variance, Covariance,
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
Mean, Mode, Median and Range of Listed Data
"Mean, mode, median, range from listed data."
From playlist Data Handling: Averages & Range
VARIABLES in Statistical Research (2-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
JASP 0.10.1 Tutorial: One-Way Analysis of Variance (Episode 10)
In this JASP tutorial, I go through a One-Way Analysis of Variance (ANOVA) example, discussing and explaining each option you can use to fully explore the test. NOTE: This tutorial is the first of the series that uses the new preview build of 0.10.1.0. Episodes 1-9 are on preview build 0.
From playlist JASP Tutorials
ANOVA 4: Contrasts and Save options in GLM
In this video, I discuss Contrasts and Save options in a two-way ANOVA. I use the general linear model (GLM) option in SPSS. Data used for this demonstration is from the CORE2016 project (ID: OER29/15 CCY), the National Institute of Education, Nanyang Technological University, Singapore.
From playlist Factorial ANOVA
MAE900_Week 10_Repeated measures ANOVA_19Oct 2021
To support the channel, I would like to invite you to join this channel to get access to perks: https://www.youtube.com/channel/UCfu2GCdjq50W-kL-cv3rcLw/join
From playlist Repeated Measures ANOVA
Ivana Išgum: "Deep learning for cardiovascular image analysis"
Deep Learning and Medical Applications 2020 "Deep learning for cardiovascular image analysis" Ivana Išgum - Amsterdam University Medical Center Abstract: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide. Medical imaging plays a crucial role in the de
From playlist Deep Learning and Medical Applications 2020
R - Between Subjects One-way ANOVA Example 1
Recorded: Fall 2015 Lecturer: Dr. Erin M. Buchanan This video covers how to work a between-subjects one-way ANOVA with data screening procedures, effect size calculation, and power analyses. Lecture materials and assignment available at statisticsofdoom.com. https://statisticsofdoom.com
From playlist Learn R + Statistics
Statistical Rethinking - Lecture06
Lecture 6, Multivariate models part 2, from "Statistical Rethinking: A Bayesian Course with R Examples"
From playlist Statistical Rethinking Winter 2015
How to find the number of standard deviations that it takes to represent all the data
👉 Learn how to find the variance and standard deviation of a set of data. The variance of a set of data is a measure of spread/variation which measures how far a set of numbers is spread out from their average value. The standard deviation of a set of data is a measure of spread/variation
From playlist Variance and Standard Deviation
How do I... DO A ONE-WAY BETWEEN-SUBJECTS ANOVA in Jamovi? (2022)
I have a variable with three manipulations -- I want to see which of them causes the change in a dependent variable? Is there a way to see which specific level did the change? I have these answers and more in this next episode of learning stats with Jamovi! Jamovi stats: https://www.jamov
From playlist Jamovi 2022 Tutorials
Rasch measurement using user-friendly jMetrik | Powerful free software
jMetrik is a free, user-friendly, and open source psychometric software which runs on any Windows, Mac OSX, or Linux platforms that have a current version of Java. In this video, I demonstrate how to run a Rasch measurement on binary data and compare the output with Winsteps. There is sign
From playlist Item response theory
Discrete & Continuous Variables Part 2
I define and compare the two types of Random Variables in AP Statistics...Discrete & Continuous. The formulas for finding the mean and standard deviation of a discrete random variables are introduced, and I also review the old mean and standard deviation formulas that the calculators does
From playlist AP Statistics
Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)
#selfsupervisedlearning #yannlecun #facebookai Deep Learning systems can achieve remarkable, even super-human performance through supervised learning on large, labeled datasets. However, there are two problems: First, collecting ever more labeled data is expensive in both time and money.
From playlist Papers Explained
Bistra Dilkina - Machine Learning for MIP Solving - IPAM at UCLA
Recorded 27 February 2023. Bistra Dilkina of the University of Southern California presents "Machine Learning for MIP Solving" at IPAM's Artificial Intelligence and Discrete Optimization Workshop. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/artificial-intelligence-and
From playlist 2023 Artificial Intelligence and Discrete Optimization
Cumulative Distribution Function (1 of 3: Definition)
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From playlist Random Variables