Continuous distributions | Analysis of variance
In probability theory and statistics, the F-distribution or F-ratio, also known as Snedecor's F distribution or the Fisher–Snedecor distribution (after Ronald Fisher and George W. Snedecor) is a continuous probability distribution that arises frequently as the null distribution of a test statistic, most notably in the analysis of variance (ANOVA) and other F-tests. (Wikipedia).
Overview of the F-Test. What it is and how it works with general steps and assumptions.
From playlist F Test
Uniform Probability Distribution Examples
Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.
From playlist Probability Distributions
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
The F distribution is used for two sample variances: to test the hypothesis that the two population variances are the same; e.g., is Yahoo's population variance different from Google's, given our sample size?
From playlist Statistics: Distributions
We use the Normal Distribution app on ArtofSat.com to show how to find probabilities and percentiles under the normal distribution. We also use the app to explain how the two parameters mu (the mean) and sigma (the standard deviation) determine the shape of the distribution.
From playlist Chapter 6: Distributions
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
What is the t-distribution? An extensive guide!
See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:17 Overview 6:06 Sampling RECAP 12:27 Visualising the t distribution 14:24 Calculating values from the t distribution (EXCEL and t-tables!)
From playlist Distributions (10 videos)
Extra Math 12A: Why Is The F-statistic F-distributed?
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Introduction to Frequency Distributions in Statistics (3-2)
Frequency is a descriptive statistic that organizes data into a distribution. A frequency distribution is a graphical display that tells us how many scores we have in total and how often each of those scores appears in our data set. A distribution is the general name for any organized set
From playlist WK3 Frequency - Online Statistics for the Flipped Classroom
From playlist COMP0168 (2020/21)
Integral Transforms Lecture 3: Distributions. Oxford Mathematics 2nd Year Student Lecture
This short course from Sam Howison, all 9 lectures of which we are making available (this is lecture 3), introduces two vital ideas. First, we look at distributions (or generalised functions) and in particular the mathematical representation of a 'point mass' as the Dirac delta function.
From playlist Oxford Mathematics Student Lectures - Integral Transforms
Functional Analysis Lecture 18 2014 04 01 Convolution and the Fourier Transform; p.v. (1/x)
Dilation of a function; dual dilation. Dilation and dual dilation of a distribution. Homogeneous functions and distributions. Degree of homogeneity of a Fourier transform of a homogeneous tempered distribution. Important example: Fourier transform of the distribution |x|^r. Regular di
From playlist Course 9: Basic Functional and Harmonic Analysis
Lecture 14 | The Fourier Transforms and its Applications
Lecture by Professor Brad Osgood for the Electrical Engineering course, The Fourier Transforms and its Applications (EE 261). Professor Osgood continues to lecture on distributions. The Fourier transform is a tool for solving physical problems. In this course the emphasis is on relatin
From playlist Lecture Collection | The Fourier Transforms and Its Applications
All of Statistics - Chapter 2 - Random Variables
🎬 This is my video summary of Chapter 2 (Random Variables) of "All of Statistics" by Larry Wasserman. 👉 If you are enjoying my work please subscribe to my youtube channel and consider supporting my work here: https://buymeacoffee.com/c3founder Read more about the "All of Statistics" vid
From playlist Summer of Math Exposition Youtube Videos
11. Parametric Hypothesis Testing (cont.) and Testing Goodness of Fit
MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about Glivenko-Cantelli Theorem (fundamental theorem of statistics), Donsker’s Theorem, and Kolmogorov-Smirnov test
From playlist MIT 18.650 Statistics for Applications, Fall 2016
Lect.8F: Hypothesis Test For Two Variances, The F-Distribution The F-distribution
The F-distribution. Lecture with Per B. Brockhoff. Chapters: 00:00 - The Sampling Distribution For Comparison Of Two Variances; 03:30 - The F-Distribution;
From playlist DTU: Introduction to Statistics | CosmoLearning.org
Analyze Phase In Six Sigma | Six Sigma Green Belt Training
The fourth lesson of the Lean Six Sigma Green Belt Course offered by Simplilearn. This lesson will cover the details of the analyze phase. In the Lean Six Sigma process, you begin with the define phase where you define the problem and then the current process performance is measured. Next
From playlist Six Sigma Training Videos [2022 Updated]
Christian Robert : Markov Chain Monte Carlo Methods - Part 1
Abstract: In this short course, we recall the basics of Markov chain Monte Carlo (Gibbs & Metropolis sampelrs) along with the most recent developments like Hamiltonian Monte Carlo, Rao-Blackwellisation, divide & conquer strategies, pseudo-marginal and other noisy versions. We also cover t
From playlist Probability and Statistics
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
ANOVA.4.F Distribution Sums of Squares 4
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 ANOVA