Design of experiments | Analysis of variance
In statistics, multivariate analysis of variance (MANOVA) is a procedure for comparing multivariate sample means. As a multivariate procedure, it is used when there are two or more dependent variables, and is often followed by significance tests involving individual dependent variables separately. Without relation to the image, the dependent variables may be k life satisfactions scores measured at sequential time points and p job satisfaction scores measured at sequential time points. In this case there are k+p dependent variables whose linear combination follows a multivariate normal distribution, multivariate variance-covariance matrix homogeneity, and linear relationship, no multicollinearity, and each without outliers. (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)
More resources available at www.misterwootube.com
From playlist Random Variables
More Standard Deviation and Variance of Joint Discrete Random Variables
Further example and understanding of Joint Discrete random variables and their standard deviation and variance
From playlist Unit 6 Probability B: Random Variables & Binomial Probability & Counting Techniques
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
Covariance (1 of 17) What is Covariance? in Relation to Variance and Correlation
Visit http://ilectureonline.com for more math and science lectures! To donate:a http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the difference between the variance and the covariance. A variance (s^2) is a measure of how spread out the numbers of
From playlist COVARIANCE AND VARIANCE
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
Solving a multi-step equation by multiplying by the denominator
👉 Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist How to Solve Multi Step Equations with Variables on Both Sides
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
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
Read the paper:http://onlinelibrary.wiley.com/doi/10.1111/j.2041-210X.2012.00190.x/full David Warton, The University of New South Wales, Australia, presents his 'mvabund' package on multivariate analysis. What makes this software different from other ones on multivariate analysis, is t
From playlist Research Snapshots
StatGeoChem session 4 Outliers
Identification of outliers in multi-variate data
From playlist Statistical Geochemistry
Confirmatory factor analysis in AMOS | Part 2
In this video (Part 2), I demonstrate how to use AMOS for confirmatory factor analysis (CFA). If you have not watched part 1 of this video, please use this link: https://www.youtube.com/watch?v=HKs9vIkpIXE For a discussion on normality analysis, please see the following videos: #1: http
From playlist Structural Equation Modeling
In this video i demonstrate how to run the MANOVA in SPSS. Assumptions of MANOVA: 1. Linear relationships between the DVs 2. No multicollinearity: high correlation between DVs 3. No outliers: Mahalanobis' distance or MD 4. Multivariate normality (look at skewness and kurtosis) 5. Box's
From playlist MANOVA
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]
Statistical data analysis | Statistical Data Science | Part 1
In this course you will learn how to analyze data. #Statistic plays important role in terms of data analysis. Here you will get exposed to utilize and understand various statistical method to analyse data. The following topic has discussed in this course. - Central tendency (mean and me
From playlist Data Analysis
05 Machine Learning: Multivariate Analysis
Some prerequisite multivariate analysis concepts to support machine learning workflows. Follow along with the demonstration workflow in Python: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/SubsurfaceDataAnalytics_Multivariate.ipynb This is an undergraduate / graduate c
From playlist Machine Learning
Professorial Lecture Series: Professor David Warton
Subscribe to AboutUNSW if you are a current or prospective student https://www.youtube.com/user/UNSWCommunity About the series During the course of this year all our newly promoted and recruited Professors will be invited to deliver an Inaugural Lecture to mark their achievement. These wi
From playlist Professorial Lecture Series, UNSW
MANOVA using SPSS | Part 3 (Last part)
In this video i demonstrate how to run the MANOVA in SPSS. Assumptions of MANOVA: 1. Linear relationships between the DVs 2. No multicollinearity: high correlation between DVs 3. No outliers: Mahalanobis' distance or MD 4. Multivariate normality (look at skewness and kurtosis) 5. Box's
From playlist MANOVA
Solving a multi-step equation with fractions and variable on both sides
👉 Learn how to solve multi-step equations with variable on both sides of the equation. An equation is a statement stating that two values are equal. A multi-step equation is an equation which can be solved by applying multiple steps of operations to get to the solution. To solve a multi-s
From playlist How to Solve Multi Step Equations with Variables on Both Sides
Repeated measures ANOVA 1: A within-subjects design
In this video, I demonstrate how to do a repeated measures ANOVA test in SPSS. The design chosen in within-subjects design.
From playlist Repeated Measures ANOVA