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Last Updated Sep 27, 2025
Revision notes with simplified explanations to understand Binomial Distribution quickly and effectively.
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This is a probability model that describes a "game" with two outcomes, a "win" or "lose." There is also a fixed number of games you must play.
Example: A game of dice is played in which a is considered a "win" and all other outcomes a "lose." This game is played times. Find the probability that, of these games, exactly are a "win."
(Combinations: , )
A biased coin is tossed with considered a win. If this is done times, find the probability of exactly wins.
The steps for calculating the probability on a calculator (images of calculator screen are provided) show:
The above game with the biased coin can be summarized as follows:
This is the distribution of probabilities.
Example The probability that a letter gets lost in the post is . On a particular day, a postman has a batch of letters. Model this as a binomial distribution, stating the distribution.
where is the number of lost letters (a lost letter is considered a "win").
Find , the probability of exactly letters being lost:
This refers to the situations when we are asked to find probabilities of the form .
Example: Let . Find .
A quick way is to use the Binomial CD option on the calculator.
More steps are shown in the calculator screenshots with a final result:
Example: Let . Find .
Find ()
(Note: so we must modify the question)
Find :
Note: For or , it helps to list out the outcomes we do want and therefore those we don't want.
Do Want: ,
Don't Want: i.e.,
So,
Find :
Do Want: ,
Don't Want: ,
Formulae
For
: Use calculator in Binomial CD mode.
Example: For , find . Do Want:
Diagram illustrating values to , highlighting and in red.
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