Reading: If a coin is flipped 7 times, then what is the probability of getting 4 heads? – GeeksforGeeks
Formula of Probability
probability of an event, P ( A ) = ( Number of ways it can occur ) ⁄ ( total count of outcomes )
Types of Events
- Equally Likely Events: After rolling dice, the probability of getting any of the likely events is 1/6. As the event is an equally likely event so there is same possibility of getting any number in this case it is either 1/6 in fair dice rolling.
- Complementary Events: There is a possibility of only two outcomes which is an event will occur or not. Like a person will play or not play, buying a laptop or not buying a laptop, etc. are examples of complementary events.
If a coin is flipped 7 times, then what is the probability of getting 4 heads?
Solution:
Use the binomial distribution directly. Let us assume that the number of heads is represented by ten ( where a result of heads is regarded as success ) and in this case X = 4 Assuming that the coin is unbiased, you have a probability of success ‘ p ’ ( where phosphorus is considered as success ) is 1/2 and the probability of failure ‘ q ’ is 1/2 ( where q is considered as bankruptcy ). The number of trials is represented by the letter ’ n ’ and for this interview n = 7. now good use the probability function for a binomial distribution : P ( X = x ) = nCxpxqn-x Using the information in the problem we get P ( X = 4 ) = ( 7C4 ) ( 1/2 ) 4 ( 1/2 ) 3 = 35 × 1/16 × 1/8 = 35/128 Hence, the probability of flipping a coin 7 times and getting heads 4 times is 35/128 .
Similar Questions
Question 1: What is the probability of flipping a coin 20 times and getting 15 heads? Answer:
Each coin can either land on heads or on tails, 2 choices.
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( According to the binomial concept ) This gives us a total of 220 possibilities for flipping 20 coins. immediately, how many ways can we get 15 heads ? This is 20 choose 15, or ( 20C15 ) This means our probability is ( 20C15 ) /220 = 15504⁄1048576 ≈ .01478
Question 2: What is the probability of 3 heads in 3 coins tossed together.? Solution:
3 coin tosses. This means, total observations = 9 ( According to binomial concept ) Required result → 3 Heads { H, H, H } This can occur merely once ! therefore, required consequence = 1 Probability ( 3 Heads ) = ( 1⁄2 ) 3 = 1/8
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