Prealgebra 2.07b - Evaluating Expressions
Evaluating expressions for given values of the variables. From the Prealgebra course by Derek Owens. This course is available online at http://www.LucidEducation.com.
From playlist Prealgebra Chapter 2 (Complete chapter)
How to Evaluate Functions (Precalculus - College Algebra 3)
Support: https://www.patreon.com/ProfessorLeonard Cool Mathy Merch: https://professor-leonard.myshopify.com/ How to evaluate functions of both constants and other functions (composition of functions). Also discussed is the Difference Quotient and it's use.
From playlist Precalculus - College Algebra/Trigonometry
A graphic and algebraic approach to finding inverse functions. Definition of the Inverse of a Function Let f and g be two functions such that f(g(x)) = x for every x in the domain of g and g(f(x)) = x for all x in the domain of f. Check out http://www.ProfRobBob.com, there you will find
From playlist PreCalculus
Introduction to Solving Quadratics (Precalculus - College Algebra 16)
Support: https://www.patreon.com/ProfessorLeonard Cool Mathy Merch: https://professor-leonard.myshopify.com What we are doing when we are solving quadratics.
From playlist Precalculus - College Algebra/Trigonometry
Evaluating a Composition of Inverse Trigonometric Functions (part one)
In this video, I demonstrate how to evaluate a composition of trigonometric functions. I show a wide range of examples, from easy to hard difficulty. The goal of this two part series is to help students get more comfortable with evaluating these kind of expressions. I hope this helps! Fac
From playlist Precalculus
IntroLinearRegression.5.PuttingItTogether
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 Applied Data Analysis and Statistical Inference
Introduction to Regression Analysis
This video introduced analysis and discusses how to determine if a given regression equation is a good model using r and r^2.
From playlist Performing Linear Regression and Correlation
SplinesTrees&LinearRegression.1Intro1
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 Applied Data Analysis and Statistical Inference
Prealgebra 2.09a - Introduction to Equations
An intro to equations. What equations are, equations that involve variables, and what it means for a number to be a solution to an equations. From the Prealgebra course by Derek Owens. This course is available online at http://www.LucidEducation.com.
From playlist Prealgebra Chapter 2 (Complete chapter)
Foundations of ANOVA – Variance Between and Within (12-2)
When measuring groups with ANOVA, there are two sources of variance: between and within. Variance between groups is due to actual treatment effect plus differences due to chance (or error). True variance between indicates differences between groups. Variance within the groups is due only t
From playlist WK12 One-Way ANOVA - Online Statistics for the Flipped Classroom
ANOVA 5: Factorial / Two-Way ANOVA using GLM
In this video, I will explain how to run a Factorial / Two-Way ANOVA using GLM (general linear model) 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
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
R - Two Way Between Subjects ANOVA Lecture 2
Lecture materials and assignment available at statisticsofdoom.com. https://statisticsofdoom.com/page/graduate-statistics/ Used in the following courses: Graduate Statistics
From playlist Learn R + Statistics
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom The last section of our course covers the beginnings of ANOVAs. You will learn about the analysis of variance, the logic of the hypothesis test, the F-test, summary tables, and how to calculate in R. We
From playlist Graduate Statistics Flipped
Lect.12F: Oneway Anova, Post Hoc Comparison Lecture 12
Lecture with Per B. Brockhoff. Lecture 12. Chapters: 00:00 - Post Hoc Confidence Interval;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
ANOVA 2: Post Hoc Tests in One-Way ANOVA
In this video, I present steps to perform post-hoc tests in a One-Way ANOVA in SPSS. I also discuss Levene's test of homogeneity of variances, Brown-Forsythe test and the Welch test. Data used for this demonstration is from the CORE2016 project (ID: OER29/15 CCY), the National Institute of
From playlist Factorial ANOVA
ANOVA in RStudio Part 2 | ANOVA, Model Fitting, Effect Size, Post-Hoc Analysis & Visualization
In these two installments, I demonstrate how to run an #ANOVA test in #RStudio. Specifically, in the first video, I will discuss: 1 Data visualization 2 Assumption 1. Normality (of residuals) 3 Assumption 2. Homogeneity of variances: Levene's test; Bartlett's test In the second video,
From playlist Repeated Measures ANOVA
R - Two-Way Between Subjects ANCOVA Example
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2018 This video replaces a previous live in-class video. This video covers ANCOVA - especially focusing on doing correct post hoc tests using R. You will walk through data screening, post hoc tests, effect size, graphs, and
From playlist Learn and Use G*Power
Pre-Calculus - The vocabulary of linear functions and equations
This video will introduce you to a few of the terms that are commonly used with linear functions and equations. Pay close attention to how you can tell the difference between linear and non-linear functions. For more videos please visit http://www.mysecretmathtutor.com
From playlist Pre-Calculus
Repeated measures ANOVA 2: A within- and between-subjects design
In this video, I demonstrate how to do a within- and between-subjects design repeated measures ANOVA test in SPSS.
From playlist Repeated Measures ANOVA