NCERT Class XII Mathematics Chapter - - Solutions
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Question : 53
Total: 101
Find the probability distribution of
(i) number of heads in two tosses of a coin.
(ii) number of tails in the simultaneous tosses of three coins.
(iii) number of heads in four tosses of a coin.
(i) number of heads in two tosses of a coin.
(ii) number of tails in the simultaneous tosses of three coins.
(iii) number of heads in four tosses of a coin.
Solution:
(i) The sample space will be = {HH, HT, TH, TT}.
Let X denote the random variable, which represents the number of heads.
∴ X can assumes values 0, 1 and 2.
Hence, the probability distribution is :
(ii) The sample space will be = {HHH, HHT, HTH, THH, TTH, THT, HTT, TTT }.
Let X denote the random variable, which represents the number of tails.
∴ X can assumes values 0, 1, 2 and 3.
∴ P(X = 0) = P(HHH)=
P(X = 1) = P({HHT, HTH, THH})=
P(X = 2) = P(TTH, THT, HTT})=
and P(X = 3) = P(TTT)=
Hence, the probability distribution is :
(iii) Here the sample space will be = {HHHH, HHHT, HHTH, HTHH, THHH, HHTT, HTHT, HTTH, THHT, THTH, TTHH, HTTT, THTT, TTHT, TTTH, TTTT}.
Let X denote random variable, which represents the number of heads.
∴ X can assumes values 0, 1, 2, 3 and 4
∴ P(X = 0) = P(TTTT)=
P(X = 1) = P(HTTT, THTT, TTHT, TTTH)=
=
P(X = 2) = P(HHTT, HTHT, HTTH, THHT, THTH, TTHH)=
=
P(X = 3) = P(HHHT, HHTH, HTHH, THHH)=
=
P(X = 4) = P(HHHH)=
Hence, the probability distribution is :
Let X denote the random variable, which represents the number of heads.
∴ X can assumes values 0, 1 and 2.
Hence, the probability distribution is :
X | 0 | 1 | 2 | ||||||
P(X) | | | |
Let X denote the random variable, which represents the number of tails.
∴ X can assumes values 0, 1, 2 and 3.
∴ P(X = 0) = P(HHH)
P(X = 1) = P({HHT, HTH, THH})
P(X = 2) = P(TTH, THT, HTT})
and P(X = 3) = P(TTT)
Hence, the probability distribution is :
X | 0 | 1 | 2 | 3 | ||||||||
P(X) | | | | |
Let X denote random variable, which represents the number of heads.
∴ X can assumes values 0, 1, 2, 3 and 4
∴ P(X = 0) = P(TTTT)
P(X = 1) = P(HTTT, THTT, TTHT, TTTH)
P(X = 2) = P(HHTT, HTHT, HTTH, THHT, THTH, TTHH)
P(X = 3) = P(HHHT, HHTH, HTHH, THHH)
P(X = 4) = P(HHHH)
Hence, the probability distribution is :
X | 0 | 1 | 2 | 3 | 4 | ||||||||||
P(X) | | | | | |
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