Single Compound Events Worksheets

What are Single Compound Events? Compound probability is defined as the chances of occurrences of two independent events. Compound probability is expressed as the product of the likelihood of the first event into the probability of the second event. One of the most basic examples of compound probability is of flipping a coin twice. In a coin flip, the chances of getting a head are 50 percent, and the chances of getting a tail are also 50 percent. However, getting a head or tail twice in a row will be 0.25 or 0.50 x 0.50. compound probability is the combination of two simple events to achieve a compound event. The probability that coin will give you heads when tossed once is the simple event. Compound event is divided into two types, namely, mutually inclusive events, and mutually exclusive events. Mutually inclusive compound events are those when one event cannot happen with the other. That means if two events A and B are mutually inclusive, then the probability that either A or B occurs is the sum of their probabilities minus the likelihood of both events taking place together. Mutually exclusive compound events are when two events cannot happen at the same time. If two events A and B are mutually exclusive, then the probability that A or B occurs is the sum of their probabilities. For mutually inclusive events, we can write: P (A or B) = P(A) + P (B) – P(A and B). For mutually exclusive events, we can write: P(A or B) = P(A) + P(B).