Since the experiment has two possible results, i.e., success and failure, it can be represented with the help of binomial distribution. Either the drug causes side effects or it does not. Also, the side effects of the drug can be measured in a similar manner. Whenever a new drug is invented to cure a particular disease, the effectiveness of the drug can be represented by two outcomes, i.e., whether the drug cures the disease or it does not. The binomial distribution is prominently used in the field of drugs and medicine. The probability of success or P(S) for each trial is the same, and the probability of failure of the trial or P(F) is equal to 1 – P(S). It is closely related to Bernoulli distribution. Also, the number of times an event is repeated is fixed. The occurrence of one event does not depend on the occurrence of the other, i.e., the events are independent in nature. A binomial distribution refers to a probability distribution that deals with two outcomes of an event, i.e., success or no success.
