The theory of probability

  

 aniblack01_right.gif Introduction
 aniblack01_right.gif Foundation
 aniblack01_right.gif Calculating
 aniblack01_right.gif Presize definition
 aniblack01_right.gif Binomial distribution
 aniblack01_right.gif Hypergeometric distribution
 aniblack01_right.gif Combined events
 aniblack01_right.gif Inseparable events
 aniblack01_right.gif 'Ion Saliu's Paradox'
 aniblack01_right.gif Combinatorics
 aniblack01_right.gif Markov Chains
 aniblack01_right.gif Random Walks
 aniblack01_right.gif Contacts

 

The probability of binomial distribution

The formula is also known as the probability of repeated trials. What is the probability of tossing exactly 5 heads in 10 coin tosses? M successes in N trials is yet another definition for this type of probability problems. The formula relies on factorials (!) and combinations C.

                           N!
  BDF = ------------------ * pM * (1 — p)N — M
                  (N — M)! * M!

or, using a simpler equation of combinations C(N, M):

BDF = C(N, M) * pM * (1 — p)N — M

BDF = the binomial distribution probability;
p = the individual probability of the phenomenon (e.g. p = 0.5 to get tails in coin tossing);
M = the exact number of successes (e.g. exactly 5 tails in 10 coin tosses);
N = the number of trials (e.g. exactly 5 tails in 10 coin tosses = number of trials).

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