Moment (mathematics) | Statistical ratios | Statistical deviation and dispersion
In probability theory and statistics, a standardized moment of a probability distribution is a moment (often a higher degree central moment) that is normalized, typically by a power of the standard deviation, rendering the moment scale invariant. The shape of different probability distributions can be compared using standardized moments. (Wikipedia).
The Difference Between an Expression and an Equation
This video explains the difference between an expression and an equation. Site: http://mathispower4u.com Blog: http://mathispower4u.wordpress.com
From playlist Introduction to Linear Equations in One Variable
More Standard Deviation and Variance
Further explanations and examples of standard deviation and variance
From playlist Unit 1: Descriptive Statistics
Adding and Subtracting Linear Expressions
This video is about Adding and Subtracting Linear Expressions
From playlist Expressions and Equations
What is the definition of scientific notation
👉 Learn about scientific notations. Scientific notation is a convenient way of writing very large or very small numbers. A number written in scientific notation is of the form a * 10^n where a is the first non-zero number between 1 and 10, (1 included) and n is the number of digits up to t
From playlist Scientific Notation | Learn About
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
This videos explains how to convert from one unit of time to another. It also shows how to add and subtract different units of time. Complete Video List: http://www.mathispower4u.yolasite.com
From playlist Unit Conversions: Converting Between Standard and Metric Units
This video explains how to convert between different American or Standard unit of measure for length, capacity, and weight. http://mathispower4u.wordpress.com/
From playlist Unit Conversions: American or Standard Units
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
Converting Temperature Between Celsius and Fahrenheit
This video derives the formulas used to convert temperature between Celsius and Fahrenheit and the provided conversion examples. Search Complete Video Library at www.mathispower4u.wordpress.com
From playlist Unit Conversions: Converting Between Standard and Metric Units
Level 1 Chartered Financial Analyst (CFA ®): Measures of dispersion including volatility
Session 2, Reading 8 (Part 2): A previous video in this CFA playlist looked at classic measures of central tendency. This is also called the first moment of the distribution or the distributions the location where is the distribution centered. When we say that I think most of us think of t
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1
Kurtosis of a probability distribution (FRM T2-7)
[Here is my xls http://trtl.bz/121817-yt-kurtosis-xls] Kurtosis is the standardized fourth central moment and is a measure of tail density; e.g., heavy or fat-tails. Heavy-tailedness also tends to correspond to high peakedness. Excess kurtosis (aka, leptokurtosis) is given by (kurtosis-3).
From playlist Quantitative Analysis (FRM Topic 2)
I illustrate how to manually calculate skew and kurtosis with Google's daily price data from 2007. The point is the variance, skew and kurtosis are each related MOMENTS of the distribution. A normal distribution has skew = 0 and kurtosis = 3 https://www.dropbox.com/s/9ge1gckgqhahcou/2.a.1
From playlist Statistics: Distributions
Scientific Seminar: First results from the Muon g-2 experiment at Fermilab
The first results from the Muon g-2 experiment at Fermilab were unveiled and discussed in a special seminar on April 7, 2021. The experimental result was presented by Chris Polly, Fermilab physicist and co-spokesperson for the Muon g-2 scientific collaboration, following a summary of the c
From playlist Muon g-2
The skew (and sample skew) of a distribution (FRM T2-6)
The skew is the third central moment divided by the cube of the standard deviation. Here I calculate skew using the binomial distribution. Discuss this video here in our FRM forum! https://trtl.bz/2Jrg0HP Subscribe here https://www.youtube.com/c/bionicturtle?sub-confirmation=1 to be notif
From playlist Quantitative Analysis (FRM Topic 2)
Jean-Michel Zakoïan: Testing the existence of moments for GARCH-type processes
It is generally admitted that financial time series have heavy tailed marginal distributions. When time series models are fitted on such data, the non-existence of appropriate moments may invalidate standard statistical tools used for inference. Moreover, the existence of moments can be cr
From playlist Probability and Statistics
Have Scientists Really Discovered a New FORCE? Muon g-2 Experiment EXPLAINED by Parth G
This 4.2 standard deviation discrepancy is suggesting that the Standard Model of Physics is Incomplete! Recently, the Muon g-2 experiment being conducted at Fermilab has been in the news quite a lot, because the scientists there have found a result that might point to the existence of a f
From playlist Quantum Physics by Parth G
Dark Matter in Astroparticle Physics by Satyanarayan Mukhopadhyay
DISCUSSION MEETING PARTICLE PHYSICS: PHENOMENA, PUZZLES, PROMISES ORGANIZERS: Amol Dighe, Rick S Gupta, Sreerup Raychaudhuri and Tuhin S Roy, Department of Theoretical Physics, TIFR, India DATE: 21 November 2022 to 23 November 2022 VENUE: Ramanujan Lecture Hall and Online While the LH
From playlist Particle Physics: Phenomena, Puzzles, Promises - (Edited)
FRM: Distribution moments (mean, variance, skew, kurtosis)
Here is the spreadsheet I used @ http://db.tt/bziK312h. The four central moments of a distribution are mean (1st), variance, skew and kurtosis. They tell us quickly about the personality of the distribution. For more financial risk videos, visit our website! http://www.bionicturtle.com.
From playlist Operational Risk Analytics
Understanding Expressions and Equations
This video define an expression and an equation. Then the different tasks performed on expressions and equations is discussed. http://mathispower4u.com
From playlist Introduction to Linear Equations in One Variable (Common Core Using Construct/Deconstruct Method)