Statistical ratios | Equivalence (mathematics)
In statistics and applications of statistics, normalization can have a range of meanings. In the simplest cases, normalization of ratings means adjusting values measured on different scales to a notionally common scale, often prior to averaging. In more complicated cases, normalization may refer to more sophisticated adjustments where the intention is to bring the entire probability distributions of adjusted values into alignment. In the case of normalization of scores in educational assessment, there may be an intention to align distributions to a normal distribution. A different approach to normalization of probability distributions is quantile normalization, where the quantiles of the different measures are brought into alignment. In another usage in statistics, normalization refers to the creation of shifted and scaled versions of statistics, where the intention is that these normalized values allow the comparison of corresponding normalized values for different datasets in a way that eliminates the effects of certain gross influences, as in an anomaly time series. Some types of normalization involve only a rescaling, to arrive at values relative to some size variable. In terms of levels of measurement, such ratios only make sense for ratio measurements (where ratios of measurements are meaningful), not interval measurements (where only distances are meaningful, but not ratios). In theoretical statistics, parametric normalization can often lead to pivotal quantities – functions whose sampling distribution does not depend on the parameters – and to ancillary statistics – pivotal quantities that can be computed from observations, without knowing parameters. (Wikipedia).
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
The dispersion of data by means of the standard deviation.
From playlist Medical Statistics
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Statistics 4 Measures of Dispersion.mov
Discussing range, variance, and standard deviation as measures of dispersion.
From playlist Medical Statistics
The normal distribution | Probability and Statistics | NJ Wildberger
In this final lecture in this short introduction to Probability and Statistics, we introduce perhaps the most important probability distibution: the normal distribution, also known as the `bell-curve'. Its role is clarified by the Central Limit theorem, a key result in Statistics, that sta
From playlist Probability and Statistics: an introduction
Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set
From playlist Statistics (Full Length Videos)
Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
https://www.patreon.com/ProfessorLeonard Statistics Lecture 6.2: Introduction to the Normal Distribution and Continuous Random Variables
From playlist Statistics (Full Length Videos)
Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator
This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. http://dlippman.imathas.com/graphcalc/graphcalc.html
From playlist The Normal Distribution
From playlist STAT 200 Video Lectures
Check Your Assumptions – The Test Assumptions of Statistical Testing (8-12)
You know what happens when you assume? If your assumptions are wrong, it prevents you from looking at the world accurately. Parametric inferential statistics are built on certain assumptions about the data. And if those assumptions are violated, the conclusions based on those assumptions a
From playlist WK8 Statistical Hypothesis Testing (NHST) - Online Statistics for the Flipped Classroom
Descriptive Statistics for Scale Data in SPSS 27 - Statistics with SPSS for Beginners (5 of 8)
Dr. Daniel and Diva explain scale variables and show you how to display them in tables, as numbers, and with graphs. You learn a shortcut to display descriptive statistics quickly, then how to display descriptive statistics using the FREQUENCIES command. We will recode a scale variable i
From playlist Introduction to Statistics with IBM SPSS 27 for Beginners (with Puppies)
Normality, Skewness, Kurtosis, & Shapiro-Wilk normality test in Jamovi free software
In this video, I will show how to compute Mean, Skewness, Kurtosis, Shapiro-Wilk normality test using Jamovi free software. Quantitative data analysis book: https://www.routledge.com/Quantitative-Data-Analysis-for-Language-Assessment-Volume-I-Fundamental/Aryadoust-Raquel/p/book/9780367671
From playlist Boxplots
The Assumption of NORMALITY in Parametric Hypothesis Tests (16-6)
Parametric statistical tests require normality, which does not mean what many people think it means. I explain the true meaning of the assumption of normality, using Stats Blocks, and how to test this assumption with graphs or tests, such as Kolmogorov-Smirnov Test. The Central Limit Theor
From playlist Assumptions, Significance, & Effect Size Wrap-Up (WK 16 - QBA 237)
From playlist STAT 200 Video Lectures
Level 1 Chartered Financial Analyst (CFA ®): Sampling and Estimation
In this video, I'm looking forward to sharing highlights with you from the CFA section, sampling and estimation. Sampling and estimation in statistics are theoretically essential and foundational, but in actual practice, it's very important. This is the practice of using samples to draw in
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1
Z-statistics vs. T-statistics | Inferential statistics | Probability and Statistics | Khan Academy
Courses on Khan Academy are always 100% free. Start practicing—and saving your progress—now: https://www.khanacademy.org/math/statistics-probability/significance-tests-one-sample/more-significance-testing-videos/v/z-statistics-vs-t-statistics Z-statistics vs. T-statistics Watch the next
From playlist Inferential statistics | Probability and Statistics | Khan Academy
Find the probability of an event using a normal distribution curve
👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente
From playlist Statistics
Statistical Rethinking 2022 Lecture 03 - Geocentric Models
Linear regression from a Bayesian perspective Slides and course materials: https://github.com/rmcelreath/stat_rethinking_2022 Music Intro: https://www.youtube.com/watch?v=4y33h81phKU Flow: https://www.youtube.com/watch?v=ip4n8zaTg1w Pause: https://www.youtube.com/watch?v=1f-NQAgm-YM Cha
From playlist Statistical Rethinking 2022
Group Normalization (Paper Explained)
The dirty little secret of Batch Normalization is its intrinsic dependence on the training batch size. Group Normalization attempts to achieve the benefits of normalization without batch statistics and, most importantly, without sacrificing performance compared to Batch Normalization. htt
From playlist Papers Explained
Normal Distribution: Find Probability Given Z-scores Using a Free Online Calculator (MOER/MathAS)
This video explains how to determine normal distribution probabilities given z-scores using a free online calculator. https://oervm.s3-us-west-2.amazonaws.com/stats/probs.html
From playlist The Normal Distribution