binomial distribution - Learn Data Science with Travis

binomial-distribution

The binomial distribution is a fundamental concept in probability theory and statistics, describing the likelihood of obtaining a fixed number of successes in a specified number of independent Bernoulli trials. Each trial has two possible 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 where outcomes can be categorized into two distinct groups. Understanding the binomial distribution is essential for conducting statistical analyses and hypothesis testing.

Demystifying the Binomial Distribution

Towards Data Science

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…

An Introduction to Discrete Distribution Function

Python in Plain English

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…

Binomial distributions in practice

Towards Data Science

Any doubts about the binomial distribution? After reading, you will comfortably use the binomial distributions from both theoretical and practical perspectives.

Bernoulli and Binomial Distributions Explained

Towards Data Science

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…

Important Points About Binomial Distribution with Implementation

Python in Plain English

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 ...

Binomial Distribution — Practical Intro with Drive-Thru Business Analytic

Towards Data Science

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…

Binomial And Poisson Distribution

Analytics Vidhya

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…

Probability Distributions: Poisson vs. Binomial Distribution

Towards Data Science

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...

An intuitive real life example of a binomial distribution and how to simulate it in R

Towards Data Science

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…...

The Bernoulli and Binomial Distributions

Analytics Vidhya

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…

Failures, Trials, and Successes: The Negative Binomial Distribution Explained

Towards Data Science

Background Perhaps you have heard of the binomial distribution , but have you heard of its cousin the negative binomial distribution ? This discrete probability distribution is applied in numerous ind...

Why Is Logistic Regression the Spokesperson of Binomial Regression Models?

Towards Data Science

A lot of events in our daily life follow the binomial distribution that describes the number of successes in a sequence of independent Bernoulli experiments. For example, assuming that the…