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Q1(iii):

Complete the following statements: (iii) The probability of an event that is certain to happen is              . Such an event is called             .

Solution :

Given: A statement regarding the probability of an event that is certain to occur.

To Find: The numerical value of the probability of a certain event and the specific terminology used to describe such an event.

Step 1: Understanding the Definition of Probability
In probability theory, the probability of an event $E$, denoted by $P(E)$, is defined as the ratio of the number of favorable outcomes to the total number of possible outcomes in a sample space $S$. Mathematically, this is expressed as:
$P(E) = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}$

Step 2: Analyzing a Certain Event
A "certain event" is defined as an event that is guaranteed to occur in any trial of an experiment. If an event $E$ is certain to happen, then every possible outcome of the experiment is a favorable outcome. Therefore, the number of favorable outcomes is equal to the total number of possible outcomes.
Let $n(E)$ be the number of favorable outcomes and $n(S)$ be the total number of possible outcomes.
Since the event is certain, $n(E) = n(S)$.

Step 3: Calculating the Probability
Substituting the equality $n(E) = n(S)$ into the probability formula:
$P(E) = \frac{n(E)}{n(S)}$
$P(E) = \frac{n(S)}{n(S)}$
$P(E) = 1$ [Since any non-zero number divided by itself equals 1]

Step 4: Terminology
In the axiomatic definition of probability, an event that is certain to occur is formally referred to as a sure event or a certain event. The sample space $S$ itself is considered the sure event because it contains all possible outcomes.

Conclusion:
The probability of an event that is certain to happen is $1$. Such an event is called a sure event (or certain event).

Final Answer: The probability of an event that is certain to happen is 1. Such an event is called a sure event.


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