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Question: A coin is so biased that appearence of head is twice likely as that of tail. If a throw is made 6 t...

A coin is so biased that appearence of head is twice likely as that of tail.

If a throw is made 6 times, using Binomial distribution, find the probalility that at least two heads will appear.

Answer

716/729

Explanation

Solution

Let P(H)P(H) be the probability of getting a head and P(T)P(T) be the probability of getting a tail.

According to the problem, the appearance of head is twice likely as that of tail, so P(H)=2P(T)P(H) = 2 \cdot P(T). We also know that P(H)+P(T)=1P(H) + P(T) = 1. Substituting P(H)=2P(T)P(H) = 2 \cdot P(T) into the second equation, we get: 2P(T)+P(T)=12 \cdot P(T) + P(T) = 1 3P(T)=13 \cdot P(T) = 1 P(T)=1/3P(T) = 1/3 Then, P(H)=2P(T)=2(1/3)=2/3P(H) = 2 \cdot P(T) = 2 \cdot (1/3) = 2/3.

Let p=P(H)=2/3p = P(H) = 2/3 be the probability of success (getting a head) and q=P(T)=1/3q = P(T) = 1/3 be the probability of failure (getting a tail) in a single throw. The coin is thrown 6 times, so the number of trials is n=6n = 6. The number of heads in 6 throws follows a Binomial distribution B(n,p)B(n, p), where n=6n=6 and p=2/3p=2/3. Let XX be the random variable representing the number of heads in 6 throws. The probability of getting exactly kk heads in nn throws is given by the Binomial probability formula: P(X=k)=(nk)pkqnkP(X=k) = \binom{n}{k} \cdot p^k \cdot q^{n-k}

We need to find the probability that at least two heads will appear, which is P(X2)P(X \ge 2). P(X2)=P(X=2)+P(X=3)+P(X=4)+P(X=5)+P(X=6)P(X \ge 2) = P(X=2) + P(X=3) + P(X=4) + P(X=5) + P(X=6). It is easier to calculate the complement probability, which is P(X<2)=P(X=0)+P(X=1)P(X < 2) = P(X=0) + P(X=1), and then use the formula P(X2)=1P(X<2)P(X \ge 2) = 1 - P(X < 2).

Calculate P(X=0)P(X=0): P(X=0)=(60)(2/3)0(1/3)60P(X=0) = \binom{6}{0} \cdot (2/3)^0 \cdot (1/3)^{6-0} P(X=0)=11(1/3)6P(X=0) = 1 \cdot 1 \cdot (1/3)^6 P(X=0)=1/729P(X=0) = 1 / 729

Calculate P(X=1)P(X=1): P(X=1)=(61)(2/3)1(1/3)61P(X=1) = \binom{6}{1} \cdot (2/3)^1 \cdot (1/3)^{6-1} P(X=1)=6(2/3)(1/3)5P(X=1) = 6 \cdot (2/3) \cdot (1/3)^5 P(X=1)=6(2/3)(1/243)P(X=1) = 6 \cdot (2/3) \cdot (1/243) P(X=1)=(12/3)(1/243)P(X=1) = (12/3) \cdot (1/243) P(X=1)=4(1/243)P(X=1) = 4 \cdot (1/243) P(X=1)=4/243P(X=1) = 4/243 To add P(X=0)P(X=0) and P(X=1)P(X=1), we can express P(X=1)P(X=1) with a denominator of 729: 4/243=(43)/(2433)=12/7294/243 = (4 \cdot 3) / (243 \cdot 3) = 12/729. So, P(X=1)=12/729P(X=1) = 12/729.

Calculate P(X<2)P(X < 2): P(X<2)=P(X=0)+P(X=1)P(X < 2) = P(X=0) + P(X=1) P(X<2)=1/729+12/729P(X < 2) = 1/729 + 12/729 P(X<2)=13/729P(X < 2) = 13/729

Calculate P(X2)P(X \ge 2): P(X2)=1P(X<2)P(X \ge 2) = 1 - P(X < 2) P(X2)=113/729P(X \ge 2) = 1 - 13/729 P(X2)=729/72913/729P(X \ge 2) = 729/729 - 13/729 P(X2)=(72913)/729P(X \ge 2) = (729 - 13) / 729 P(X2)=716/729P(X \ge 2) = 716 / 729

The probability that at least two heads will appear is 716/729.

Explanation: The probability of getting a head is p=2/3p=2/3 and a tail is q=1/3q=1/3. For 6 independent throws, the number of heads X follows a Binomial distribution B(6, 2/3). We need P(X2)P(X \ge 2). This is calculated as 1P(X<2)=1[P(X=0)+P(X=1)]1 - P(X < 2) = 1 - [P(X=0) + P(X=1)]. P(X=0)=(60)(2/3)0(1/3)6=1/729P(X=0) = \binom{6}{0} (2/3)^0 (1/3)^6 = 1/729. P(X=1)=(61)(2/3)1(1/3)5=6(2/3)(1/243)=4(1/243)=4/243=12/729P(X=1) = \binom{6}{1} (2/3)^1 (1/3)^5 = 6 \cdot (2/3) \cdot (1/243) = 4 \cdot (1/243) = 4/243 = 12/729. P(X<2)=1/729+12/729=13/729P(X < 2) = 1/729 + 12/729 = 13/729. P(X2)=113/729=(72913)/729=716/729P(X \ge 2) = 1 - 13/729 = (729 - 13)/729 = 716/729.