More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Statistics - How to calculate the coefficient of variation
In this video I'll quickly show you how to find the coefficient of variation. There are two formulas for samples and populations, but these are basically the same and involve dividing the standard deviation by the mean and lastly converting to a percent. The coefficient of variation is u
From playlist Statistics
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
RELATIONSHIPS Between Variables: Standardized Covariance (7-1)
Correlation is a way of measuring the extent to which two variables are related. The term correlation is synonymous with “relationship.” Variables are related when changes in one variable are consistently associated with changes in another variable. Dr. Daniel reviews Variance, Covariance,
From playlist Correlation And Regression in Statistics (WK 07 - QBA 237)
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
Standard Normal Distribution of Z Scores
Z-scores called standardized scores are normally distributed
From playlist Unit 2: Normal Distributions
Pearson's Correlation Coefficient (1 of 3: Unpacking the formula)
More resources available at www.misterwootube.com
From playlist Descriptive Statistics & Bivariate Data Analysis
Introduction to standard deviation, IQR [Inter-Quartile Range], and range
From playlist Unit 1: Descriptive Statistics
FRM: Regression #3: Standard Error in Linear Regression
A simple (two-variable) regression has three standard errors: one for each coefficient (slope, intercept) and one for the predicted Y (standard error of regression). While the population regression function (PRF) is singular, sample regression functions (SRF) are plural. Each sample produc
From playlist Statistics: Linear regression
Regression: significance test of slope coefficient (FRM T2-18)
[my xls is here https://trtl.bz/2JS64qq] The test statistic of the slope is given by (b1 - β)/SE(b1), although typically the null hypothesis is H(0):β = 0, such that the test statistic simply divides the regression coefficient by its own standard error (i.e., standard deviation of the esti
From playlist Quantitative Analysis (FRM Topic 2)
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 Pt1: Coefficients
When you do logistic regression you have to make sense of the coefficients. These are based on the log(odds) and log(odds ratio), but, to be honest, the easiest way to make sense of these are through examples. In this StatQuest, I walk you though two Logistic Regression Examples, step-by-s
From playlist StatQuest
Regression: Excel's linest array function and its goodness-of-fit measures (FRM T2-19b)
[Here is my xls https://trtl.bz/2vmGHd2] Excel's linest array function returns the R^2, SER and F-ratio which are interrelated as goodness-of-fit measures. Discuss this video here in our forum: https://trtl.bz/30GUcQA Subscribe here https://www.youtube.com/c/bionicturtle?sub-confirmation=
From playlist Quantitative Analysis (FRM Topic 2)
Univariate regression: Confidence interval of slope coefficient (FRM T2-18b)
[my xls is here https://trtl.bz/2vEB0aE] The confidence interval (CI) of the slope coefficient is given by β(1) +/- Standard_Error[β(1)]*Z(α), where Z(α) is the student's t or normal deviate based on the desired confidence level; e.g., if the 2-sided confidence level is 95.0%, the Z(0.95)
From playlist Quantitative Analysis (FRM Topic 2)
L12.8 The Correlation Coefficient
MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: https://ocw.mit.edu/RES-6-012S18 Instructor: John Tsitsiklis License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
From playlist MIT RES.6-012 Introduction to Probability, Spring 2018
Excel 2010 Statistics 89: Linear Regression #3: Sample Covariance & Coefficient of Correlation
Download Excel File: https://people.highline.edu/mgirvin/AllClasses/210Excel2010/Content/Ch14/Busn210ch14.xlsx 1. Calculate the Sample Covariance long hand to get measure of strength of the linear relationship. 2. Use Scatter Plot with Trendline & X and Y Mean Lines to see why covariance
From playlist Excel 2010 Statistics Formulas Functions Charts PivotTables
The standard L-function of Siegel modular forms and applications (Lecture 2) by Ameya Pitale
PROGRAM : ALGEBRAIC AND ANALYTIC ASPECTS OF AUTOMORPHIC FORMS ORGANIZERS : Anilatmaja Aryasomayajula, Venketasubramanian C G, Jurg Kramer, Dipendra Prasad, Anandavardhanan U. K. and Anna von Pippich DATE & TIME : 25 February 2019 to 07 March 2019 VENUE : Madhava Lecture Hall, ICTS Banga
From playlist Algebraic and Analytic Aspects of Automorphic Forms 2019
Statistics - 12.1.2 Determining Statistical Significance for the Pearson Correlation Coefficient
We take a look at determining statistical significance for the Pearson Correlation Coefficient. I use a different method than the textbook, as I find tables tedious. You can use either method. Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/kbrehm_bellevue_edu/Ea
From playlist Applied Statistics (Entire Course)
