Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Learn Binomial Distribution | Probability Functions
Probability Theory Update

bookBinomial 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.

Everything was clear?

How can we improve it?

Thanks for your feedback!

SectionΒ 4. ChapterΒ 1
single

single

Ask AI

expand

Ask AI

ChatGPT

Ask anything or try one of the suggested questions to begin our chat

Suggested prompts:

Summarize this chapter

Explain the code in file

Explain why file doesn't solve the task

close

Awesome!

Completion rate improved to 3.7

bookBinomial Distribution

Swipe to show menu

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 desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

close

Awesome!

Completion rate improved to 3.7
SectionΒ 4. ChapterΒ 1
single

single

some-alt