BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -All the events in the sample space that are not part of the specified event are called Complement of Event. Complement of event: The complement of an event is the subset of outcomes in the sample space that are not in the event.

Detailed explanation-2: -The complement of an event is the event not occuring. The probability that Event A will notoccur is denoted by P(A’). The probability that Events A and B both occur is the probability of the intersection of A and B. The probability of the intersection of Events A and B is denoted by P(A ∩ B).

Detailed explanation-3: -Null event: The event containing no outcomes. It is the complement of sample space S. Venn diagram: A graphical representation of events. Probability of an event: The probability of event A, denoted by P ( A ), is the probability that the outcome of the experiment is contained in A.

Detailed explanation-4: -Since complementary events are mutually exclusive, we can use the special addition rule to find its probability. Furthermore, complementary events are all inclusive, so they make the sample space when combined, so their probabilities have a sum of 1. The sum of the probabilities of complementary events is 1.

Detailed explanation-5: -Complement of an event A ( ): A complement of an event A contains all the outcomes of the sample space S which do not belong to A. Null event ( ): A null event is an empty set, and has no outcomes. Probability: Probability is a numerical measure of the likelihood of an event relative to a set of alternative events.