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Question: The probability of a boy getting a scholarship is 0.90 and that of a girl student getting a scholars...

The probability of a boy getting a scholarship is 0.90 and that of a girl student getting a scholarship is 0.80. The probability that both getting scholarship is:
A. 98100\dfrac{{98}}{{100}}
B. 2100\dfrac{2}{{100}}
C. 72100\dfrac{{72}}{{100}}
D. 28100\dfrac{{28}}{{100}}

Explanation

Solution

Given that, the probability of a boy student getting scholarship P(B)=0.90P\left( B \right) = 0.90 and the probability of a girl student getting a scholarship P(G)=0.80P\left( G \right) = 0.80 .
It is asked to find the probability that both boy student and girl student get a scholarship.
For that, we have to find P(BG)P\left( {B \cap G} \right) .
Here, if two events are independent, then the probability P(BG)P\left( {B \cap G} \right) is the product of both individual probabilities.

Complete step-by-step answer:
Let the event that a boy student gets a scholarship be B and a girl student getting a scholarship be G.
Thus, the probability of a boy student getting scholarship P(B)=0.90P\left( B \right) = 0.90 and the probability of a girl student getting a scholarship P(G)=0.80P\left( G \right) = 0.80 .
We are asked to find the probability that both boy student and girl student get a scholarship i.e. P(BG)P\left( {B \cap G} \right) .
Now, we have to find P(BG)P\left( {B \cap G} \right) .
It is clear from the question that, the given two events are independent from each other.
We know, for independent events, the probability of a boy and a girl getting a scholarship is the product of individual probabilities i.e. product of probability that a boy student gets a scholarship and probability that a girl student gets a scholarship.
P(BG)=P(B)×P(G)\therefore P\left( {B \cap G} \right) = P\left( B \right) \times P\left( G \right)
=(0.90)(0.80)= \left( {0.90} \right)\left( {0.80} \right)
= 0.72
Thus, the probability that both a boy student and girl student get a scholarship is 0.72 =72100 = \dfrac{{72}}{{100}} .

Note: Here, we have to take note that the given two events are independent and not, mutually exclusive events.
Independent events:
If any event B is not being affected by the previous event A, then both the event A and B are called independent events.
Thus, P(AB)=P(A)×P(B)P\left( {A \cap B} \right) = P\left( A \right) \times P\left( B \right) .
For example, find the probability of getting 3 heads on tossing a coin three times. Here, P(Head) = 0.5. Now, the second head would not be affected by the first head. So, the probability of three heads will be 0.5×0.5×0.5=0.1250.5 \times 0.5 \times 0.5 = 0.125 .
Mutually Exclusive events:
If any two events, say A and B, are mutually exclusive, it is not possible that they both occur together.
Thus, P(AB)=0P\left( {A \cap B} \right) = 0 .
For example, out of 52 cards one card is chosen, then find the probability that the chosen card is a queen card and a king card. Here, one card cannot be both a queen card and a king card. So, the probability of it happening becomes 0.