Answer: Gambler's fallacy
Explanations: Gambler's fallacy can be simply defined as a phenomenon where the outcome of an event is viewed as less or more likely due to the outcome of previous events even though each event is independent.
For example, If a family should give birth to (5) five boys, gambler's fallacy will argue that the chance or probability of the family giving birth to girl next higher because the previous ones were boys, but in reality the chances are thesame because both gender has equally chance of being conceived.
So Miranda’s statement is a good example of gambler's fallacy because she argue that the probability that she will toss a tail in her sixth toss is higher than 50% and in reality, the probability of tossing a head or a tail are both thesame i.e 50%.