Econometric modeling | Categorical data
In statistics, ridit scoring is a statistical method used to analyze ordered qualitative measurements.The tools of ridit analysis were developed and first applied by Bross, who coined the term "ridit" by analogy with other statistical transformations such as probit and logit. A ridit describes how the distribution of the dependent variable in row i of a contingency table compares relative to an identified distribution (e.g., the marginal distribution of the dependent variable). (Wikipedia).
Computing z-scores(standard scores) and comparing them
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them
From playlist Statistics
Statistics Lecture 3.4 Part 7: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
How to solve the Deadly-rated Killer Sudoku: The Times 30 Dec
Simon explains how to solve this very difficult puzzle logically.
From playlist Killer Sudoku guides
How to solve the Deadly-rated Killer Sudoku from The Times on 14 October
Simon talks through how to get a handle on this puzzle.
From playlist Killer Sudoku guides
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Definition of a Z-Score
From playlist Statistics
Ditch the Tricks: Estimating Trig Ratios: Conceptual Quiz Questions
Link: https://www.geogebra.org/m/F5a9GDd6
From playlist Trigonometry: Dynamic Interactives!
Statistics Lecture 3.4 Part 2: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
Statistics Lecture 3.4 Part 1: Finding the Z-Score. Percentiles and Quartiles
From playlist Statistics Playlist 1
Confused about what a z-score is and how it relates to a bell curve? This short video explains in plain English what a z score is and what it's used for. Check out my Statistics Handbook: https://www.statisticshowto.com/the-practically-cheating-statistics-handbook/ Thanks for your support!
From playlist z-test
Describing Distributions with Skewness, Kurtosis, Modality, & z-Scores Business Statistics (Week 6A)
The normal curve is the most important distribution in statistics. When distributions differ from normality, we describe them with kurtosis (leptokurtic, platykurtic, mesokurtic), with skewness (positive or negative), and with modality (unimodal, bimodal, multimodal). In addition to those
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Recorded: Spring 2015 Lecturer: Dr. Erin M. Buchanan This video covers the basic concepts behind z-scores, how to calculate them, and find percentages under the curve. Note: This video has an unfortunate amount of background noise and will be replaced sometime in the future. Lecture ma
From playlist PSY 200 (SPSS) Undergraduate Statistics with Dr. B
Validity of automated scoring in the era of machine learning and big data | Interface 2
#interface Welcome to the second installment of Interface! Interface seminars are intended to bring together neuroscience, artificial intelligence (AI), and assessment validity. With rapid developments in AI and neuroscience in recent years, new approaches to education, learning and as
From playlist Machine Learning
There are three common uses for z scores. • The first is that z scores are used for comparing scores from different distributions. • Second, z scores are used for computing the relative frequency of scores from any distribution. • Third, z scores are used for hypothesis testing and inte
From playlist WK9 Using z Scores and the z Test in Statistics - Online Statistics for the Flipped Classroom
I recently uploaded 200 videos that are much more concise with excellent graphics. Click the link in the upper right-hand corner of this video. It will take you to my youtube channel where videos are arranged in playlists. In this older video: Displaying univariate data with graphs
From playlist Older Statistics Videos and Other Math Videos
Game Programming Patterns part 7.6 - (Rust) Observer Pattern
I figured out a way to implement the observer pattern in Rust! I'm using an Arc> which allows me to have multiple mutable references at the same time. I hope this is helpful for any of you who are also looking to have multiple mutable references. Links code - [https://github.c
From playlist Game Programming Patterns Book
Creating a Chat vs. Streamer game with Rust + GGEZ part 38
First, we bring in four pull requests from DannyFritz that give sound, add support for alternate keys, change the title, and improve the README.md file. Then we get saving the scores to disk working. This way the credits now display the chatters points they earned this game, along with th
From playlist programming before work live streams
Tutorial - Observer Pattern in JavaScript part 2
We finish up implementing the Observer pattern in JavaScript Links * Code - [https://github.com/brooks-builds/observer_pattern_in_javascript](https://github.com/brooks-builds/observer_pattern_in_javascript) * Twitter - [https://www.twitter.com/brooks_patton](https://www.twitter.c
From playlist Observer Pattern in JavaScript
This lesson explains how to determine a z-score and how to find a z-score for a given data value. The percent of data above and below a data value and z-score is also found. Site: http://mathispower4u.com
From playlist The Normal Distribution
The Normal Probability Distribution in Business Statistics (Week 10B)
The normal distribution is the most important distribution in all of statistics. We learn about the characteristics fo the curve and how to create z-scores in a standard normal curve. To find probabilities under the curve, this example uses Normal_Distribution_z_MultiTool_RbD.xlsx (link be
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Understanding z-scores(standard scores) as a measure of relative standing
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Understanding z-scores(standard scores) as a measure of relative standing. Given several z-scores, the sample mean, and the sample standard deviation, we find the values of x both with the formula and intuitively.
From playlist Statistics