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Probability coin toss | COIN 11 Trick | Quantitative Aptitude | Learn Everything with me | Tamil

A coin is called “balanced” or “fair” if each side is equally likely to land up. Assign a probability to each outcome in the sample space for the experiment that consists of tossing a single fair coin. ... Since the outcomes have the same probabilities, which must add up to 1, each outcome is assigned probability 1/2.
Most people assume the toss of a coin is always a 50/50 probability, with a 50 percent chance it lands on heads, and a 50 percent chance it lands on tails.
The sample space count can be decided by the number of coins being flipped together. If we have flipped ‘n’ coins or flipped a coin ‘n’ times then the sample space in the experiment will have 2n2n elements.

For example in case of tossing a coin thrice we can have exactly 2^3 = 8 outcomes that are HHH, HHT, HTH, THH, TTH, THT, HTT, TTT.

Thus the events of getting a head / a tail are mutually exclusive. It is impossible to get a head and a tail simultaneously when a coin is flipped and the event of getting either a head or a tail is a certain event.


When we add the probability of getting a head and probability of getting a tail when a coin is tossed the sum is always equal to 1.


In general when we have flipped a coin large number of times then we are making a relative frequency estimate of probability on easy basis. For example if we calculate the probability of getting 75 heads out of 100 times then we say it will be 7510075100 = 0.75. as we flip the coin more number of times more approximation we get.
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Easy tric to solve coin based probability questions. Can solve it in just 5 sec for any no of coins
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