The name “The Binomial Distribution” is derived from the binomial expansion, because if you use the formula for binomial expansion,
![]()
you can substitute
and
and then the probability of obtaining
successes in
attempts is given by the
th term![]()
There are three conditions necessary for the binomial to be a possible distribution.
is a fixed number. There are
trials or attempts.
is fixed throughout the process.Each trial is independent of any other trial.
The notation for the Binomial distribution is![]()
Example: A fair dice is thrown 10 times. Find the probability of
a)Throwing 3 sixes.
b)Throwing at most 1 six.
c)Throwing at least 1 six.
a)The probability of throwing a six is
to 4dp.
b)
to 4 dp.
c)
to 4 dp.
Intuitively, if
attempts take place and the probability of success is
the expected number of successes is![]()