auto ad

Monday, January 2, 2017

probability distribution and the mean number of the number of heads in the simultaneous tosses of three coins

Find the probability distribution of the number of heads in the simultaneous tosses of three coins (or number of heads in three tosses of a coin). Also find the mean number of heads.

Let X be the number of heads in simultaneous tosses of three coins.
X can take the values X = 0,1,2,3
Sample space = { HHH,HHT,HTH,THH,HTT,THT,TTH,TTT }
n(S) = 8

P[X=0] =P[no head] = P[{ TTT }] = ( 1/8 )
P[X=1] =P[one head] = P[{ HTT,THT,TTH }] = ( 3/8 )
P[X=2] =P[two heads ] = P[{ HHT,THH,HTH }] = ( 3/8 )
P[X=3] =P[three heads] = P[{ HHH}] = ( 1/8 )








Mean =E[X] = 0( 1/8 ) + 1(3/8 ) + 2 ( 3/8 ) + 3( 1/8 ) = (12/8) Mean = (3/2) = 1.5

=========================================================================

A random variable X has the following probability distribution:




Find (i) k (ii) P(X < 3)(iii) P(X > 6) (iv) P(0 < X < 3)

Sum of all values of P[X] = 1
0 + k + 2k + 2k + 3k + k2 + 2k2 + 7k2+k = 1
10k2 + 9k = 1
10k2 + 9k – 1=0
10k2 + 10k - 1k – 1=0
10k(k+1) -1 (k+1) = 0
(10k-1) (k+1) = 0
k = (1/10) or k = (-1)
Since probability cannot be negative , we reject k = (-1)

therefore k = (1/10)



==========================================================================
Two numbers are selected at random (without replacement) from the first six positive integers. Let X denote the larger of the two numbers obtained. Find E(X).

Let X be the larger of the two numbers.
X can take the values 2,3,4,5,6
If S is the sample space
S = { (1,2), (1,3),(1,4),(1,5),(1,6), (2,1),(2,3),(2,4),(2,5),(2,6),(3,1), (3,1),(3,2),(3,4),(3,5),(3,6),(4,1),(4,1),(4,1),(4,2),(4,3),(4,5),(4,6),(5,1),(5,2),(5,3),(5,4),(5,6),(6,1),(6,1),(6,2),(6,3),(6,4),(6,5)}

n(S) = 6*5 =30 [since replacement is not allowed]

P[X=2] = n[{(1,2),(2,1)}] / 30 = (2/30)
P[X=3] = n[{(1,3),(2,3),(3,1),(3,2)}] / 30 = (4/30)
P[X=4] = n[{(1,4),(2,4),(3,4),(4,1),(4,1),(4,2),(4,3)}] / 30 = (6/30)
P[X=5] = n[{(1,5),(2,5),(3,5),(4,5),(5,1),(5,2),(5,3),(5,4)}] / 30 = (8/30)
P[X=6] = n[{(6,1),(6,1),(6,2),(6,3),(6,4),(6,5),(1,6),(2,6),(3,6),(4,6),(5,6)}] = (10/30)



Mean = E[X] = 2 (2/30) + 3(4/30) + 4(6/30) + 5 (8/30) + 6 (10/30) = Mean = (140/30) = (14/3)

================================================


link to index of other miscellaneous problems on probability of cbse ncert 12th mathematics

index of more problems on baye's theorem for ncert cbse mathematics


disclaimer:
There is no guarantee about the data/information on this site. You use the data/information at your own risk. You use the advertisements displayed on this page at your own risk.We are not responsible for the content of external internet sites. Some of the links may not work

No comments:

Post a Comment

please leave your comments