The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question. Such measures can be used in statistical hypothesis testing, e.g. to test for normality of residuals, to test whether two samples are drawn from identical distributions (see Kolmogorov–Smirnov test), or whether outcome frequencies follow a specified distribution (see Pearson's chi-square test). In the analysis of variance, one of the components into which the variance is partitioned may be a lack-of-fit sum of squares. (Wikipedia).
Exact test of goodness of fit using R
In this video I talk about the binomial exact goodness of fit test. This test calculates a p value directly, as with other exact tests. It considers a categorical variable (or discrete numerical variable if only the counts are considered) with a dichotomous sample space. Once of the val
From playlist Statistics
OCR MEI Statistics Minor K: Goodness of Fit Tests: 01 Introduction
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI Statistics Minor K: Goodness of Fit Tests
Chi Squared Goodness of Fit [GOF] on M and Ms Distribution
A classroom data-collecting activity on the distribution of M & M colors and performing and interpreting a Chi squared Goodness of Fit [GOF] test
From playlist Unit 10: Chi Squared
It sounds normal to say one's out to become a fitter person; but it sounds weird to say one would like to be a nicer or better person. It shouldn't - so here is a guide to 10 virtues of a nice person. If you like our films, take a look at our shop (we ship worldwide): https://goo.gl/jpBF
From playlist SELF
The Chi-Square Goodness of Fit Test (15-2)
The chi-square test for goodness of fit is one of the most popular and versatile of the non-parametric statistics. Invented by Karl Pearson, the chi-square “goodness of fit” tests hypotheses about the proportions of a population distribution. It tests whether the proportions from the obtai
From playlist WK15 Chi-Square & Non-Parametric Alternatives - Online Statistics for the Flipped Classroom
Chi-squared Goodness of Fit Test! Extensive video!
See all my videos at https://www.zstatistics.com/ 0:42 INTRODUCTION 3:40 EXAMPLE 1 - Formal goodness of fit test (1 df) 17:02 ADVANCED - Where is the normal distribution hiding?? 22:56 EXAMPLE 2 - Formal goodness of fit test (2 df) Formula proof: It actually exists neatly on the wikipedi
From playlist Hypothesis testing
Line of Best Fit (1 of 2: Overview)
More resources available at www.misterwootube.com
From playlist Bivariate Data Analysis
Chi-Square Distribution: Goodness of Fit Test (Absent Days)
This lesson provides an example of how to perform a hypothesis test using the chi-square distribution.
From playlist The Chi-Square Distribution
How Being A "Nice Guy" Is Sabotaging Your Relationships
The Nice Guy Paradox: How Being A "Nice Guy" Is Sabotaging Your Relationships And How To Get More Of What You Want In Life. Subscribe to Charisma On Command’s YouTube Account: http://bit.ly/COC-Subscribe The "Nice Guy" gets harpooned in today's society. We're told that nice guys finish
From playlist Fan Q&A
10. Understanding Experimental Data (cont.)
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson Prof. Grimson continues on the topic of modeling experimental data. License: Creative Commons BY-NC-SA More information at http://
From playlist MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016
The Surprisingly Difficult Jigsaw Puzzles of Yuu Asaka
MY SHOP: https://www.1st.shop/ Today we're going to attempt to solve two brand new Jigsaw puzzles by Yuu Asaka. These are a lot harder than they look! My go to library for music - Artlist, get 2 months free: https://artlist.io/artlist-70446/?artlist_aid=Ramsay_1768&utm_source=affiliate_p&u
From playlist Puzzles!
R - Path Analysis, Estimation, Fit Indices Part 2
Lecturer: Dr. Erin M. Buchanan Spring 2021 https://www.patreon.com/statisticsofdoom This video covers the beginnings of path analysis, thinking about estimation, and a whole lot of fit indices. You will get to learn about how path compares to regression, as well as how mediation is teste
From playlist Structural Equation Modeling 2020
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers a wide variety of fit indices, their theoretical backgrounds, suggested scores, and some formulae for various indices. Lecture materials and assignment available at statisticsofdoom.com. https://sta
From playlist Structural Equation Modeling
JASP 0.14 Tutorial: Confirmatory Factor Analysis (CFA) (Episode 30)
EDIT/CORRECTION: There's an error in my description of the chi-square model fit outcome. I state that it is good that the p-value is very small and reflects a good model fit. As mentioned by a keen viewer, this chi-square application is the opposite for other NHST outcomes. Here, a signifi
From playlist JASP Tutorials
Using Syntax in Structural Equation Modeling in Jamovi | Part 2
#SEM In part 2 of the video, I demonstrate how to use syntax to do Structural Equation Modeling (SEM) in Jamovi and interpret the output. Useful links: Jamovi: https://www.jamovi.org/download.html SEM book chapter: https://www.routledge.com/Quantitative-Data-Analysis-for-Language-Asses
From playlist Jamovi software
Logistic Regression Details Pt 3: R-squared and p-value
This video follows from where we left off in Part 2 in this series on the details of Logistic Regression. Last time we saw how to fit a squiggly line to the data. This time we'll learn how to evaluate if that squiggly line is worth anything. In short, we'll calculate the R-squared value a
From playlist StatQuest
Lec 17 | MIT 6.00SC Introduction to Computer Science and Programming, Spring 2011
Lecture 17: Curve Fitting Instructor: John Guttag View the complete course: http://ocw.mit.edu/6-00SCS11 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.00SC Introduction to Computer Science and Programming
One-Way Goodness of Fit Chi-Square by Hand – No Difference (15-4)
As we learned from regression, the best predictor of future behavior is past behavior. So now we are going to learn a non-parametric test that will tell us whether the way things are is a good fit to the way we expect them to be. I’ve got a Bloody Good Chi Square, using a one-way Chi-Squar
From playlist WK15 Chi-Square & Non-Parametric Alternatives - Online Statistics for the Flipped Classroom
The idea of ‘atonement’ sounds very old-fashioned and is deeply rooted in religious tradition. To atone means, in essence, to acknowledge one’s capacity for wrongness and one’s readiness for apology and desire for change. It’s a concept that every society needs at its center. For gifts and
From playlist RELATIONSHIPS