Location-scale family probability distributions | Discrete distributions
In probability theory and statistics, the discrete uniform distribution is a symmetric probability distribution wherein a finite number of values are equally likely to be observed; every one of n values has equal probability 1/n. Another way of saying "discrete uniform distribution" would be "a known, finite number of outcomes equally likely to happen". A simple example of the discrete uniform distribution is throwing a fair dice. The possible values are 1, 2, 3, 4, 5, 6, and each time the die is thrown the probability of a given score is 1/6. If two dice are thrown and their values added, the resulting distribution is no longer uniform because not all sums have equal probability.Although it is convenient to describe discrete uniform distributions over integers, such as this, one can also consider discrete uniform distributions over any finite set. For instance, a random permutation is a permutation generated uniformly from the permutations of a given length, and a uniform spanning tree is a spanning tree generated uniformly from the spanning trees of a given graph. The discrete uniform distribution itself is inherently non-parametric. It is convenient, however, to represent its values generally by all integers in an interval [a,b], so that a and b become the main parameters of the distribution (often one simply considers the interval [1,n] with the single parameter n). With these conventions, the cumulative distribution function (CDF) of the discrete uniform distribution can be expressed, for any k ∈ [a,b], as (Wikipedia).
Uniform Probability Distribution Examples
Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.
From playlist Probability Distributions
UNIFORM Probability Distribution for Discrete Random Variables (9-5)
Uniform Probability Distribution: (i.e., a rectangular distribution) is a probability distribution involving one random variable with a constant probability. Each potential outcome is equally likely, such as flipping coin and getting heads is always 50/50. On Chaos Night, Dante experiment
From playlist Discrete Probability Distributions in Statistics (WK 9 - QBA 237)
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
The Continuous Uniform Distribution
From playlist Probability Distributions
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creat
From playlist Probability Distributions
Continuous Distributions: Gaussian
Video Lecture from the course INST 414: Advanced Data Science at UMD's iSchool. Full course information here: http://www.umiacs.umd.edu/~jbg/teaching/INST_414/
From playlist Advanced Data Science
Definition of a Discrete Probability Distribution
Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Definition of a Discrete Probability Distribution
From playlist Statistics
Conditions Required to Use Normal to Approximate Sample Proportions
Sample proportions, like binomial successes, are discrete. As long as large samples are taken so np and n(1-p) are both at least 10, a continuous normal distribution yields an acceptable approximation of the probabilities associated with a sample proportion distribution.
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Excel Statistics 66: Continuous Probability Distributions (Normal, Uniform, Exponential)
Download Excel File: https://people.highline.edu/mgirvin/AllClasses/210M/Content/ch06/Busn210ch06.xls Download pdf notes: https://people.highline.edu/mgirvin/AllClasses/210M/Content/ch06/Busn210Ch06.pdf Topics for Continuous Probability Distributions:: 1.Compare Discrete and Continuous
From playlist Excel Statistics B. 06: Continuous Probability Distributions
Excel 2010 Statistics 54: Continuous Probability Distributions (Basics)
Download Excel File: https://people.highline.edu/mgirvin/AllClasses/210Excel2010/Content/Ch06/Busn210ch06.xlsm Download pdf file: https://people.highline.edu/mgirvin/AllClasses/210Excel2010/Content/Ch06/Busn210Ch06.pdf Topics for Continuous Probability Distributions:: 1. Compare Discrete
From playlist Excel 2010 Statistics Formulas Functions Charts PivotTables
(ML 17.11) Rejection sampling - uniform case
From playlist Machine Learning
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
OCR MEI Statistics Minor G: Discrete Uniform Distributions: 01 Introduction
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI Statistics Minor G: Discrete Uniform Distributions
Basic Excel Business Analytics #65: Create Random Variables: Custom, Binomial, Uniform, Normal
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn how to create random variables based on various probability distributions: 1) (00:13) Introduction to creating random / Uncertain Variables. 2) (00:49) Create Random Variable from a Rel
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)
Python for Data Analysis: Probability Distributions
This video covers the basics of working with probability distributions in Python, including the uniform, normal, binomial, geometric, exponential and Poisson distributions. It also includes a discussion of random number generation and setting the random seed. Subscribe: ► https://www.yout
From playlist Python for Data Analysis
Excel 2013 Statistical Analysis #37: Introduction to Continuous Probability Distributions
Download files (which file shown at begin of video): https://people.highline.edu/mgirvin/AllClasses/210Excel2013/Ch06/Ch06.htm Topics in this video: 1. (00:12) Compare and contrast the Discrete Probability Distribution to the Continuous Probability Distribution 2. (01:53) Whereas with Disc
From playlist Excel for Statistical Analysis in Business & Economics Free Course at YouTube (75 Videos)
Phong NGUYEN - Recent progress on lattices's computations 2
This is an introduction to the mysterious world of lattice algorithms, which have found many applications in computer science, notably in cryptography. We will explain how lattices are represented by computers. We will present the main hard computational problems on lattices: SVP, CVP and
From playlist École d'Été 2022 - Cohomology Geometry and Explicit Number Theory
Bruno Rémillard: Copulas based inference for discrete or mixed data
Abstract : In this talk I will introduce the multilinear empirical copula for discrete or mixed data and its asymptotic behavior will be studied. This result will then be used to construct inference procedures for multivariate data. Applications for testing independence will be presented.
From playlist Probability and Statistics