Sample space is the set of first 100 natural numbers. n (S) = 100 Let βAβ be the event of choosing the number such that it is divisible by 4 n (A) = [100/4] = [25] = 25 {where [.] represents...
The probability that a student will pass the final examination in both English and Hindi is 0.5 and the probability of passing neither is 0.1. If the probability of passing the English examination is 0.75. What is the probability of passing the Hindi examination?
Let βEβ denotes the event that student passes in English examination. And βHβ be the event that student passes in Hindi exam. It is given that, P (E) = 0.75 P (passing both) = P (E β© H) = 0.5 P...
A card is drawn from a deck of 52 cards. Find the probability of getting an ace or a spade card.
A card is drawn from a deck of 52 cards. Let βSβ denotes the event of card being a spade and βKβ denote the event of card being ace. As we know that a deck of 52 cards contains 4 suits (Heart,...
A die is thrown twice. What is the probability that at least one of the two throws come up with the number 3?
If a dice is thrown twice, it has a total of 36 possible outcomes. If S represents the sample space then, n (S) = 36 Let βAβ represent events the event such that 3 comes in the first throw. A =...
A natural number is chosen at random from amongst first 500. What is the probability that the number so chosen is divisible by 3 or 5?
Sample space is the set of first 500 natural numbers. n (S) = 500 Let βAβ be the event of choosing the number such that it is divisible by 3 n (A) = [500/3] = [166.67] = 166 {where [.] represents...
In a single throw of two dice, find the probability that neither a doublet nor a total of 9 will appear.
In a single throw of 2 die, we have total 36 outcomes possible. Say, n (S) = 36 Where, βSβ represents sample space Let βAβ denotes the event of getting a double. So, A = {(1,1), (2,2), (3,3), (4,4),...
A card is drawn at random from a well-shuffled deck of 52 cards. Find the probability of its being a spade or a king.
A card is drawn from a deck of 52 cards is given. Let βSβ denotes the event of card being a spade and βKβ denote the event of card being King. As we know that a deck of 52 cards contains 4 suits...
One of the two events must happen. Given that the chance of one is two-third of the other, find the odds in favour of the other.
Let A and B be two events. As, out of 2 events, only one can happen at a time which means no event have anything common. β΄ We can say that A and B are mutually exclusive events. So, by definition of...
There are three events A, B, C one of which must and only one can happen, the odds are 8 to 3 against A, 5 to 2 against B, fins the odds against C.
As, out of 3 events, only one can happen at a time which means no event have anything common. So, A, B and C are mutually exclusive events. Now, by definition of mutually exclusive events we know, P...
Given two mutually exclusive events A and B such that P (A) = 1/2 and P (B) = 1/3, find P (A or B).
A and B are two mutually exclusive events is given P (A) = 1/2 and P (B) = 1/3 We need to find P (A βorβ B). P (A or B) = P (A βͺ B) So by definition of mutually exclusive events we know, P (A βͺ B) =...
If $\mathbf{A}$ and $\mathbf{B}$ are two events associated with a random experiment such that $\mathrm{P}$ $(\mathbf{A} \cup \mathbf{B})=\mathbf{0 . 8}, \mathbf{P}(\mathbf{A} \cap \mathbf{B})=\mathbf{0 . 3}$ and $\mathrm{P}(\overline{\mathrm{A}})=\mathbf{0 . 5}$, find $\mathrm{P}(\mathbf{B})$
A and B are two events is given P (Aβ²) = 0.5, P (A β© B) = 0.3 and P (A βͺ B) = 0.8 Since, P (Aβ²) = 1 β P (A) P (A) = 1 β 0.5 = 0.5 We need to find P (B). By definition of P (A or B) under axiomatic...
If A and B are two events associated with a random experiment such that P (A) = 0.3, P (B) = 0.4 and P (A βͺ B) = 0.5, find P (A β© B).
A and B are two events is given P (A) = 0.3, P (B) = 0.5 and P (A βͺ B) = 0.5 We need to find P (A β© B). By definition of P (A or B) under axiomatic approach we know, P (A βͺ B) = P (A) + P (B) β P (A...
Fill in the blanks in the following table:
$$ \begin{tabular}{|l|l|l|l|l|} \hline & $\mathrm{P}(\mathrm{A})$ & $\mathrm{P}(\mathrm{B})$ & $\mathrm{P}(\mathrm{A} \cap \mathrm{B})$ & $\mathrm{P}(\mathrm{AUB})$ \\ \hline $\text { (i) }$ &...
A and B are two events such that P (A) = 0.54, P (B) = 0.69 and P (A β© B) = 0.35. Find
(i) P (A β© Bβ²)
(ii) P (Aβ² β© B)
A and B are two events is given P (A) = 0.54, P (B) = 0.69 and P (A β© B) = 0.35 By definition of P (A or B) under axiomatic approach we can write, P (A βͺ B) = P (A) + P (B) β P (A β© B) (i) P (A β©...
A and B are two events such that P (A) = 0.54, P (B) = 0.69 and P (A β© B) = 0.35. Find
(i) P (A βͺ B)
(ii) P (Aβ² β© Bβ²)
A and B are two events is given P (A) = 0.54, P (B) = 0.69 and P (A β© B) = 0.35 By definition of P (A or B) under axiomatic approach we can write, P (A βͺ B) = P (A) + P (B) β P (A β© B) (i) P (A βͺ B)...
If A and B be mutually exclusive events associated with a random experiment such that P (A) = 0.4 and P (B) = 0.5, then find:
(i) P (Aβ² β© B)
(ii) P (A β© Bβ²)
A and B are two mutually exclusive events is given to us. P (A) = 0.4 and P (B) = 0.5 By definition of mutually exclusive events we can write, P (A βͺ B) = P (A) + P (B) (i) P (Aβ² β© B) P (only B) = P...
If A and B be mutually exclusive events associated with a random experiment such that P (A) = 0.4 and P (B) = 0.5, then find:
(i) P(A βͺ B)
(ii) P (Aβ² β© Bβ²)
A and B are two mutually exclusive events is given to us. P (A) = 0.4 and P (B) = 0.5 By definition of mutually exclusive events we can write, P (A βͺ B) = P (A) + P (B) (i) P (A βͺ B) = P (A) + P (B)...