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)
More resources available at www.misterwootube.com
From playlist Random Variables
Learning how to find the variance and standard deviation from a set of 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 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 to find the variance and standard deviation from a set of 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
Derivation.3.Variance as an Expectation
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Optional - Derivations
(PP 4.5) Mean, variance, and moments
Definitions of mean, variance, and moments. A playlist of the Probability Primer series is available here: http://www.youtube.com/view_play_list?p=17567A1A3F5DB5E4
From playlist Probability Theory
Mean v Median and the implications
Differences between the mean and median suggest the presence of outliers and/or the possible shape of a distribution
From playlist Unit 1: Descriptive Statistics
Derivations.2.Derivation of Variance
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Optional - Derivations
StatGeoChem session 5 Factor Analysis
PCA and Factor analysis with applications in Geosciences
From playlist Statistical Geochemistry
Lecture 08 - Bias-Variance Tradeoff
Bias-Variance Tradeoff - Breaking down the learning performance into competing quantities. The learning curves. Lecture 8 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/ma
From playlist Machine Learning Course - CS 156
Deep Learning Lecture 6.3 - PCA part 2
Principal Component Analysis - PCA Algorithm - Properties of PCA - Equivalence between maximum projection variance and minimal reconstruction error - Applications to images
From playlist Deep Learning Lecture
Structural Equation Modeling of Latent Growth Curves with AMOS
This video demonstrates Latent Growth Curve Modeling with AMOS. Useful links: Video 1: https://www.youtube.com/watch?v=ATdrC8KNp3I Video 2: https://www.youtube.com/watch?v=8UJkO8o7jZs Paper: https://www.tandfonline.com/doi/full/10.1080/01443410.2014.950946 To support the channel, I would
From playlist Structural Equation Modeling
Latent Growth Curve Modeling | Part 2 | Structural Equation Modeling
In the second installment of this video series, I will discuss the essential concepts in Growth Curve Modeling within the Structural Equation Modeling framework.
From playlist Growth Curve Models
Independent Samples t-test in Excel | effect size calculator
In this video, I show how to do independent samples t-test analysis in Excel. Since excel does not provide the option to test the homogeneity of variance and effect size, I introduce an easy-to-use calculator for these. Effect size calculator: https://www.socscistatistics.com/effectsize/d
From playlist Independent Samples t-Test
R & Python - Exploratory Factor Analysis
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. Expanding on cluster analysis, this video examines how to put together concepts
From playlist Human Language (ANLY 540)
What Is Anova? | Introduction To Analysis And Variance | Anova Explained | Simplilearn
🔥 Advanced Certificate Program In Data Science: https://www.simplilearn.com/pgp-data-science-certification-bootcamp-program?utm_campaign=WhatisAnnova&utm_medium=Descriptionff&utm_source=youtube 🔥 Data Science Bootcamp (US Only): https://www.simplilearn.com/data-science-bootcamp?utm_campaig
Extra Math lecture 2: The derivation of the variance formula
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
04-2 Sensitivity Analysis Global
Sobol' and regionalized sensitivity analysis
From playlist QUSS GS 260