Experiment: Toss a coin twice and record the number of heads. - The random variable of interest X is the number of heads (Random Variable is UPPER CASE) - The value the random variable X can assume are x=0,1, or 2 ( value is lowercase) P(X=x) is read as the number of heads equals 3. Discrete cumulative distribution function of a coin toss. The latter is quite funny: you are asking for the probability of getting any value from the random variable. Something will happen for sure, so the chance of tossing a six sided dice and getting a value between 1 and 6 is 100%.What is the probability of a coin landing on heads? The first coin toss does not affect the outcome of the second. So these are independent events. We will multiply the probability of landing on heads for each coin. There is a 25% chance of landing on heads twice.The probability of tossing a coin twice and getting tails both times is 1 in 4, or 25%. If you have already tossed a coin and had it land on tails, the Your question is slightly vague, so I will pose a more defined question: What is the probability of 3 coin tosses resulting in heads exactly twice?Tossing the coin, we've only really got two options here, either the uppermost face is going to be heads or it's going to be tails. So there we have a larger sample spaces with six members, or six elements within it, contrasted to just the two outcomes in the case of tossing a coin.A game consists of tossing a one rupee coin three times and noting its outcome each time. Ramesh wins if all the tosses give the same result, that is three heads or three tails and loses the game otherwise. Calculate the probability that Ramesh will lose the game.