Normal distribution | Continuous distributions
In probability theory and statistics, the half-normal distribution is a special case of the folded normal distribution. Let follow an ordinary normal distribution, . Then, follows a half-normal distribution. Thus, the half-normal distribution is a fold at the mean of an ordinary normal distribution with mean zero. (Wikipedia).
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
Using normal distribution to find the probability
👉 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
Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
How to find the probability 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
How to find the probability 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
Learning to find the probability using normal distribution
👉 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
Learn how to use a normal distribution curve to find probability
👉 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
Learn how to create a normal distribution curve given mean and standard deviation
👉 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
Year 13/A2 Statistics Chapter 3.6 (The Normal Distribution)
This session explains the normal approximation to the binomial distribution: when 𝑛 is large and 𝑝 is close to 0.5, binomial distributions can very accurately be approximated by the normal distribution. These questions can be rather demanding, and so I have included some extra worked examp
From playlist Year 13/A2 Statistics
Year 13/A2 Statistics Chapter 3.1 (The Normal Distribution)
So...what is the Normal distribution? In this first lesson about the normal distribution I run through the distribution's key properties and give a brief overview of when it can be used. Ultimately, it is a model to calculate the probabilities of events relating to continuous variables. I
From playlist Year 13/A2 Statistics
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
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
R - Chapter 6: Z Scores - Lecture Part 1
Lecturer: Dr. Erin M. Buchanan Missouri State University Spring 2016 This video covers the normal distribution, z scores, pnorm() functions, and ideas behind standardization. The lecture covers the sixth chapter in the Nolan and Heinzen Statistics for the Behavioral Sciences. Note: This
From playlist PSY 200 (R) Undergraduate Statistics with Dr. B
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)
Climate Sensitivity and Some Speculative Implications for Modeling Catastrophes
Martin Weitzman, Harvard University, delivers a lecture entitled, "Climate Sensitivity and Some Speculative Implications for Modeling Catastrophes", at the YCEI conference, "Uncertainty in Climate Change: A Conversation with Climate Scientists and Economists".
From playlist Uncertainty in Climate Change: A Conversation with Climate Scientists and Economists
Asymptotic properties of the volatility estimator from high-frequency data modeled by Ananya Lahiri
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Are you ever going to be good enough?
This is my submission for the Summer of Math expositions 2: https://www.youtube.com/watch?v=hZuYICAEN9Y Please scroll down to the end to see sources and additional comments. First, the "thank you"s: Many thanks to the brilliant photographers whose pictures I used: - the "city street pi
From playlist Summer of Math Exposition 2 videos
Math 176. Math of Finance. Lecture 10.
UCI Math 176: Math of Finance (Fall 2014) Lec 10. Math of Finance View the complete course: http://ocw.uci.edu/courses/math_176_math_of_finance.html Instructor: Donald Saari, Ph.D. License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu
From playlist Math 176: Math of Finance
All of Statistics - Chapter 2 - Random Variables
🎬 This is my video summary of Chapter 2 (Random Variables) of "All of Statistics" by Larry Wasserman. 👉 If you are enjoying my work please subscribe to my youtube channel and consider supporting my work here: https://buymeacoffee.com/c3founder Read more about the "All of Statistics" vid
From playlist Summer of Math Exposition Youtube Videos
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