binomial-distribution
The binomial distribution is a fundamental concept in probability theory and statistics, describing the number of successes in a fixed number of independent Bernoulli trials. Each trial results in one of two outcomes: success or failure. The distribution is characterized by two parameters: the number of trials (n) and the probability of success (p) in each trial. It is widely used in various fields, including finance, healthcare, and quality control, to model scenarios such as coin flips, quality testing, and survey responses. Understanding the binomial distribution is essential for analyzing and interpreting data involving binary outcomes.
Statistics 101: the Binomial Distribution
Experiments consisting of a sequence of identical and independent trials resulting in one of two outcomes are known as binomial experiments. Examples of events that follow the binomial distribution…
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Demystifying the Binomial Distribution
Before we jump into binomial distributions, it is important to understand Bernoulli trials. A Bernoulli trial is a term that is used in probability theory and statistics. It is a trial (an…
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An Introduction to Discrete Distribution Function
Binomial Distribution: In probability theory and statistics, the binomial distribution is the discrete probability distribution that gives only two possible results in an experiment, either Success…
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Binomial distributions in practice
Any doubts about the binomial distribution? After reading, you will comfortably use the binomial distributions from both theoretical and practical perspectives.
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Bernoulli and Binomial Distributions Explained
Often in data science, we focus and obsess over obtaining the holy grail of distributions — the normal distribution. However, two other types of distributions, the Bernoulli and binomial , have many…
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Important Points About Binomial Distribution with Implementation
Part 5: Statistics Series Hello, welcome back to the statistics series. I know this is the statistics series for data science and I am talking about a probability distribution, which may sound odd to ...
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Binomial Distribution — Practical Intro with Drive-Thru Business Analytic
Probability distribution is a very useful statistical tool to estimate the performance or risk hidden in a business activity. Many businesses stakeholders rely on the probability distribution to…
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Binomial And Poisson Distribution
It is a discrete distribution and describes success or failure of an event. e.g:- In an examination student can either pass or fail , if a coin is tossed it gives either head or tail. In other word…
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Probability Distributions: Poisson vs. Binomial Distribution
If you are not a paid member on Medium, I make my stories available for free: Friends link The Poisson and Binomial distributions are two fundamental discrete probability distributions used in data sc...
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An intuitive real life example of a binomial distribution and how to simulate it in R
When we repeat a set of events like 10 times coin flipping and each single event in a set has two possible outcomes (head or tails) think about Binomial distributions. Each single event here is known…...
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Binominal Distribution & What Analysts Should Have Known
Brief, concentrated explanations with illustrations of essential statistics distributions. We will start with the most basic one, Binomial… Continue reading on Towards Data Science
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The Bernoulli and Binomial Distributions
The probability for a discrete random variable can be summarized with a discrete probability distribution. A discrete random variable is a random variable that can have one of a finite set of…
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