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Answer (1 of 5): This is an example of a binomial distribution: k = number of trials = 7 n = number of successes (heads) = 2 p = probability of success = .5 q = probability of failure = .5 P(x = n) = C(k, n)p^n q^{k-n} P(x = 2) = C(7, 2)(0.5)^2 (0.5)^{7–2} P(x = 2) = 21 \cdot .25 \cdot 0. What is the probability That when you toss the coin three times you will get exactly two heads. Now keep in mind that probability is the comparison of favorable outcomes, two possible outcomes. ... So therefore the probability of getting exactly two heads would be 3/8. Limited Time Offer. Unlock a free month of Numerade+ by answering 20.

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• What is the probability of flipping a coin twice and getting two heads? The probability is 25%. The probability of flipping a coin once and getting heads is 50%. In your example, you get heads twice -- over the course of 2 flips. So there are two 50% probabilities that you need to combine to get the probability for getting two heads in two flips.
• What is the probability That when you toss the coin three times you will get exactly two heads. Now keep in mind that probability is the comparison of favorable outcomes, two possible outcomes. ... So therefore the probability of getting exactly two heads would be 3/8. Limited Time Offer. Unlock a free month of Numerade+ by answering 20 ...
• What is the probability of flipping a coin twice and getting two heads? The probability is 25%. The probability of flipping a coin once and getting heads is 50%. In your example, you get heads twice -- over the course of 2 flips. So there are two 50% probabilities that you need to combine to get the probability for getting two heads in two flips.
• P (Probability of getting exactly 4 tails when a coin is tossed 6 times) P (Probability of getting less than 5 tails when a coin is tossed 6 times) P (Probability of getting more than 1 tail when a coin is tossed 6 times) There can be various other scenarios possible. For instance, we might be interested to know the probability of fetching two ...
• General Formula : total trials C n ⋅ p ( success) n ⋅ p ( f a i l) t o t a l − n. Example 1. If you have a single 6 sided die , and you are going to roll the die 8 times. What is the probability that you will get a 1 exactly 2 times? total trials C n ⋅ p ( success) n ⋅ p ( f a i l) t o t a l − n.