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Learn Binomial Distribution | Probability Functions
Probability Theory Update
course content

Course Content

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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Section 4. Chapter 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 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!

Section 4. Chapter 1
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