The 1st person can choose a whatever birthday (e.g., say April
1). Then the probability that the 2nd person has the same birth day
(April 1) is .
Let's name the 3 people: A, B and C. The 1st person (A) can choose a
whatever birthday (e.g., say April 1). Then the probability that the
2nd person has the same birthday (April 1) is
.
Similarly, the probability that the 3rd person has the same birthday
is also
. So we want to get the Probability that A=B
AND A=C:
.
The 1st person (A) can choose a whatever birthday (e.g., April 1). B can choose any birthday other than April 1, so the probability is (365-1)/365. Let's say B's birthday is March 1. C can choose any day other than March 1 and April 1, so the probability is (365-1-1)/365.
The correct answer is
.
Common mistake:
:
is the probabilty that
all 3 has the same birthday. So
is the probability
that at least one person among 3 has the different birthday. This
probability include the cases where
,
,
and
.
The opposite of
the previous question.
Similar idea to the previous question. First let's calculate the
probability that all 20 people has different birthday. This
probability is
. So
is the
probability that at least one pair has the same birthday in a group of
20 people. It's a pretty high probability, isn't it?
To generalize this, the probability that at least one pair has the
same birthday in a group of n people is:
.
There are
elementary outcomes: (1,1), (1,2), (1,3),
(1,4), (1,5), (1,6), (2,1), (2,2), ...., (6,6). Of these elementary
outcomes , only (1,6), (2,3), (3,2) and (6,3) can give the event that
the product of these 2 values to be 6. The answer is
.
This is basically saying that 2 dice does not match.
From one roll of two dice, the probability that the two dice match is
1/6, and the probability that the two dice do not match is .
This problem can be handled by binominal distribution if you define that R.V. X is the number of times that 2 dice match. Then we can use n=3, and the probabilitty of success can be defined as the probability that 2 dies match: p=1/6.
.
So the question asks the probability that X=1:
.
If the question were to obtain the probability that the two dice will
match on at least one of the three rolls we would get
. An easier way to calculate
this probability is to subtract the probability that the two dice
doesn't match in any of the 3 trials from 1:
.