is defined as the likelihood of an event to happen (Paris, 2014).Precisely, it can be presented as a fraction or a percentage. Whenfinding the probability of an event, one looks at the favorableoutcomes. They are the desired results. These outcomes are thencompared with the total number of the likely outcomes.
Theevents can be dependent, independent or mutually exclusive. For theindependent, an event is not influenced by the others. Dependentevents are also referred to as conditional, and here, one eventaffects the others. Lastly, mutually exclusive posits that eventscannot occur simultaneously.
can be used in almost all life situations decisions. In theworkplace, employees and companies are faced with events where theyhave to make important decisions that necessitate the use ofprobability. For instance, in the weather forecast department, ameteorologist would be interested in knowing the probability ofraining the next day. Of note here are the many factors thatinfluence the weather such that it is hard to predict if it willindeed rain. Thus, as a projecting tool, the meteorologist can assignany number from 0 to 1 to show the level of certainty that it willrain. In case the expert claims that the likelihood of raining is30%, then it would be that if similar conditions prevailed, thepossibility of raining the next day would be 3 out of 10. Notably, ifthe department had accurate models, it would have established withprecision if it would rain. Sadly, science has not made suchadvancements yet. The other option here would be to claim that theprobability of raining is 0 or 1.
Paris,S. (2014). Leveledtexts: experiments.Huntington: Teacher Created Materials