Question
Question: Which number cannot represent a probability? (A) \[\dfrac{2}{3}\] (B) \[1.5\] (C) \[15\% \] ...
Which number cannot represent a probability?
(A) 32
(B) 1.5
(C) 15%
(D) 0.7
Solution
Hint : In the question, we are given a certain set of numbers and we have to find which number cannot be a probability. For this firstly we should understand that in an experiment, probability is the measure of likelihood of an event to occur. Probability is a value between (and including) zero and one. If P(E) represents the probability of an event, then we can write 0⩽P(E)⩽1 .On the basis of these concepts we will check each option and find whether it can be a probability or not.
Complete step-by-step answer :
We have to find which one of the given options can not be a probability of an event. Let us recollect what a probability of an event means. The probability is the measure of likelihood of an event to occur. The important rule of probability is that probability is a value between (and including) zero and one i.e., if P(E) represents the probability of an event, then we can write 0⩽P(E)⩽1
Now let us consider each of the options.
In the option (a), the first number we are given is 32 . Let us divide 2 by 3
⇒32=0.667
Here we can see that 0.667is between 0 and 1 .
∴32 can be the probability of an event.
Now from option (b), the given number is 1.5
Here we can see that 1.5>1 and therefore violate the condition. Hence, 1.5 cannot be the probability of an event.
Now, let us verify option (c), the given term is 15%
⇒15%=10015=0.15
Here we can see that 0.15is between 0 and 1 .
∴15% can be the probability of an event.
Now, let us consider option (d), the given number is 0.7
Here we can see that 0.7is between 0 and 1 .
∴0.7 can be the probability of an event.
Thus, from the above calculation we observe that only 1.5 can not be the probability of an event.
So, the correct answer is “Option C”.
Note : Students must note that in the given condition 0⩽P(E)⩽1 , 0 and 1 are included. Probability of an event, P(E)=0 if and only if E is an impossible event. And probability of an event, P(E)=1 if and only if E is a certain event. And the sum of probabilities will always be equal to 1