### Theory:

Now we learn about some basic terms on probability.
1. Random experiment or trial
2. Outcome
3. Sample point
4. Sample space
5. Event
1. Random experiment or trial:

A trial is an action that results in one or several outcomes.
Example:
Rolling dice and tossing a coin are trials.
2. Outcome:

The results obtained after the performance of the trial or experiment or operation is called an outcome.
Example:
1) While flipping a coin, we get head or tail. Head and tail are called outcomes.

2) When we are rolling a die, there are $$6$$ certain probability results in $$1$$, $$2$$, $$3$$, $$4$$, $$5$$, $$6$$, which are called outcomes.
3. Sample point:

Each outcome of a random experiment is called a sample point.
Example:
While flipping a coin, each outcome $$H$$ or $$T$$ is the sample points.
4. Sample space:

The set of all possible outcomes (or sample points) of a random experiment is called the sample space.
Example:
In a single flip of a coin, the collection of sample points is given by $$S =$$ $$\{H, T\}$$.

If two coins are tossed, the collection of sample points $$S = \{(HH),(HT),(TH),(TT)\}$$.

It is denoted by $$S$$. The number of elements in it is denoted by $$n(S)$$.

5. Event:

Any subset of a sample space is called an event.
Example:
If a dice is rolled, it shows $$4$$, which is called an outcome (since it results from a single trial).

The event denoted as $$E$$, and the number of events is denoted as $$n(E)$$ which is nothing but the total number of events.

In the same experiment, the event of getting an even number is $${2,4,6}$$.

Therefore, here the total number of events $$n(E) = 3$$.

Hence an event can be one or more than one outcome.