Exponential family distributions | Discrete distributions | Factorial and binomial topics | Conjugate prior distributions
In probability theory and statistics, the binomial distribution with parameters n and p is the discrete probability distribution of the number of successes in a sequence of n independent experiments, each asking a yes–no question, and each with its own Boolean-valued outcome: success (with probability p) or failure (with probability ). A single success/failure experiment is also called a Bernoulli trial or Bernoulli experiment, and a sequence of outcomes is called a Bernoulli process; for a single trial, i.e., n = 1, the binomial distribution is a Bernoulli distribution. The binomial distribution is the basis for the popular binomial test of statistical significance. The binomial distribution is frequently used to model the number of successes in a sample of size n drawn with replacement from a population of size N. If the sampling is carried out without replacement, the draws are not independent and so the resulting distribution is a hypergeometric distribution, not a binomial one. However, for N much larger than n, the binomial distribution remains a good approximation, and is widely used. (Wikipedia).
Prob & Stats - Random Variable & Prob Distribution (37 of 53) Binomial Distribution
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain a basic understanding of binomial distribution. Next video in series: http://youtu.be/uO166WiwFFg
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
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From playlist Probability Distributions
The binomial is one of the basic distributions, yet surprisingly common in risk and quant finance. Here I take a look at its key properties and compare the formula to Excel's built in =BINOMDIST()
From playlist Statistics: Distributions
Statistics - 6.5 Approximating a Binomial Distribution With a Normal Distribution
We explore the conditions that must be met to approximate a binomial distribution with the normal model. We look at Continuity Correction and determining whether the interval should be included in the area we find. Power Point: https://bellevueuniversity-my.sharepoint.com/:p:/g/personal/k
From playlist Applied Statistics (Entire Course)
Introduction to the binomial distribution More free lessons at: http://www.khanacademy.org/video?v=O12yTz_8EOw
From playlist Statistics
Prob & Stats - Random Variable & Prob Distribution (44 of 53) Variance
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the variance of a binomial distribution. Next video in series: http://youtu.be/XWBCrgKkRnY
From playlist iLecturesOnline: Probability & Stats 2: Random Variable & Probability Distribution
Extra Math Lecture 2: The mean of the binomial distribution
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
We use the Binomial Distribution app on ArtofStat.com to visualize the shape of the binomial distribution and to find probabilities for the number of successes in Bernoulli trials.
From playlist Chapter 6: Distributions
Statistics - 5.2 The Binomial Distribution
The Binomial distribution is used when we have a fixed number of independent trials in an experiment where our two outcomes are success and failure. We will learn what values we need to know and how to calculate the results for probabilities of exactly one value or for cumulative values.
From playlist Applied Statistics (Entire Course)
OCR MEI Statistics 2 3.04 Approximating a Binomial or Poisson with a Normal Distribution
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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)
Generalized Linear Model (Part B)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
FRM: Quantile function (Inverse CDF)
Here is the spreadsheet I used (and that shows the same recursive solution to all three distributions): http://db.tt/gyrCxFU5 The quantile function, which is the inverted cumulative distribution function, gives us the value (X) that answers the question, with confidence of (P%), what is th
From playlist Operational Risk Analytics
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
Scientific Computing Skills 5. Lecture 06.
UCI Chem 5 Scientific Computing Skills (Fall 2012) Lec 06. Scientific Computing Skills View the complete course: http://ocw.uci.edu/courses/chem_5_scientific_computing_skills.html Instructor: Douglas Tobias, Ph.D. License: Creative Commons BY-NC-SA Terms of Use: http://ocw.uci.edu/info.
From playlist UC Irvine Chemistry 5: Scientific Computing Skills
A-Level Maths: N2-12 Normal Distribution: Approximating a Binomial Distribution
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From playlist A-Level Maths Statistics
Binomial Setting & Binomial Distribution in Statistics Pt 1
In a two part video I introduce the Binomial Setting and Distribution where x is defined as the number of successes. This lecture also includes the formulas and examples for of the Binomial Coefficient and the Binomial Probability Formula. I also go over how to use the binompdf(n,p,k) an
From playlist AP Statistics
Extra Math lecture 2: The variance of the binomial distribution
Forelæsning med Per B. Brockhoff. Kapitler:
From playlist DTU: Introduction to Statistics | CosmoLearning.org
OCR MEI Statistics 2 2.01 Introducing the Poisson Distribution
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From playlist [OLD SPEC] TEACHING OCR MEI STATISTICS 2 (S2)