1. Probability - a theoretical approach

Consider a scenario of tossing a coin.

 

 

Either we get a head, or a tail is equally likely to appear. In other words, we can say the probabilities of both events are equal.

 

That is, P(getting a head) \(= \frac{1}{2}\)

 

P(getting a tail) \(= \frac{1}{2}\)

 

Similarly, let us consider another example of throwing a dice.

 

 

A dice has six faces, and their possible outcomes are \(1\), \(2\), \(3\), \(4\), \(5\) and \(6\). On throwing a dice, we may end up in any one of the six faces. That is, on throwing a dice, the equally likely events are \(1\), \(2\), \(3\), \(4\), \(5\) and \(6\).

 

In this chapter, we shall learn how to solve the problems when they are equally likely.