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.] Share with your friends Share 0 Sandeep Saurav answered this Dear Student, 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'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 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. , using a binomial distribution, we can determine the probability of getting 4 heads in 10 coin tosses. Hope this information will clear your doubts about topic. If you have any more doubts just ask here on the forum and our experts will try to help you out as soon as possible. Keep posting!! Regards 0 View Full Answer Divyanshi Agarwal answered this When we have a bigger sample space, then it becomes quite difficult to solve such problems.Then we commonly use binomial trials. 0 Aditi answered this -When there could be only two events success or failure. -when event is independent -the probability of a event never changes 1