Contenido del Curso
Probability Theory Update
Probability Theory Update
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones¿Todo estuvo claro?
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.
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opcionesCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones