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Aprenda Binomial Distribution | Probability Functions
Probability Theory Update
course content

Conteúdo do Curso

Probability Theory Update

Probability Theory Update

1. Probability Basics
2. Statistical Dependence
3. Learn Crucial Terms
4. Probability Functions
5. Distributions

book
Binomial Distribution

What is it?

This distribution with parameters n (number of trials, each one has only two outcomes: success or failure) and p (probability that event happened) is the discrete probability distribution.

Key characteristics:

  • Number of trials is finite.
  • The trials sre independent.
  • Probability of success is constant for each trial.
  • Each trial can result only in success or failure.

Examples:

The most clear example is tossing a coin.

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Seção 4. Capítulo 1
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book
Binomial Distribution

What is it?

This distribution with parameters n (number of trials, each one has only two outcomes: success or failure) and p (probability that event happened) is the discrete probability distribution.

Key characteristics:

  • Number of trials is finite.
  • The trials sre independent.
  • Probability of success is constant for each trial.
  • Each trial can result only in success or failure.

Examples:

The most clear example is tossing a coin.

Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 4. Capítulo 1
Switch to desktopMude para o desktop para praticar no mundo realContinue de onde você está usando uma das opções abaixo
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