How do we get to know if it follows binomial distribution or not ?!.. Does every event follow it ?!.. [The image is just for reference, kindly take ANY example to explain this.]

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$$\begin{gathered} Many experiments share the common element that their outcomes can be classified into one of two events, \\ e.g. a coin can come up heads or tails; a child can be male or female; a person can die or not die; a person can be employed or unemployed. \\ These outcomes are often labeled as “success” or “failure.” \\ Note : There is no connotation of “goodness” here. \\ e.g., when looking at births, the statistician might label the birth of a baby girl as “success” and the birth of a baby boy as “failure,” \\ but the parents wouldn’t necessarily see things that way. \\ The usual notation for Bernoulli\text{'}s trial is \\ p = probability of success, \\ q = probability of failure = 1 - p. \\ Note: p + q = 1. \\ In statistical terms, A Bernoulli trial is each repetition of an experiment involving \boxed{ only 2 outcomes }. \\ A binomial distribution gives us the probabilities associated with independent, repeated Bernoulli trials. \\ In a binomial distribution the probabilities of interest are those of receiving a certain number of successes, r, in n independent trials each having only two possible outcomes and the same probability, p, of success. \\ So, e.g. , u\sin g a binomial distribution, we can determine the probability of getting 4 heads in 10 coin tosses. \end{gathered}$$

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