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39. Events E and F are such that P(not E or not F) = 0.25, State whether E and F aremutually exclusive.
39. Events E and F are such that P(not E or not F) = 0.25, State whether E and F aremutually exclusive.
39. Given, P (not E or not F) = 0.25
P (E'∪F') = 0.25
P (E∩F)' = 0.25
1 – P (E∩F) = 0.25
P (E∩F) = 1 – 0.25
P (E∩F) = 0.75≠ 0
Hence, E and F are not mutually exclusive events.
38. If E and F are events such that P(E) = , P(F) = and P(E and F) = , find
(i) P(E or F), (ii) P(not E and not F).
38. If E and F are events such that P(E) = , P(F) = and P(E and F) = , find
(i) P(E or F), (ii) P(not E and not F).
38. Given, P (E) =
P (F) =
P (E and F) = P (E∩F) =
(i) P (E or F) = P (E∪F) = P (E) + P (F) – P (E∩F)
(ii) P (not E and not F) = P (E'∩F') = P (E∪F)' = 1 – P (E∪F)
37. Given P(A) = and P(B) = . Find P(A or B), if A and B are mutually exclusive events.
37. Given P(A) = and P(B) = . Find P(A or B), if A and B are mutually exclusive events.
37.
Given P (A) =
P (B) =
As A and B are mutually exclusive events,
P (A∩B) = 0
Hence, P (A∪B) = P (A) + P (B) – P (A∩B)
36. Fill in the blanks in following table:
P(A) P(B) P(A ∩ B) P(A ∪ B)
(i) . . .
(ii) 0.35 . . . 0.25 0.6
(iii) 0.5 0.35 . . . 0.7
36. Fill in the blanks in following table:
P(A) P(B) P(A ∩ B) P(A ∪ B)
(i) . . .
(ii) 0.35 . . . 0.25 0.6
(iii) 0.5 0.35 . . . 0.7
36. (i) Given P (A) =
P (B) =
P (A∩B) =
So, P (A∪B) = P (A) + P (B) – P (A∩B)
P (A∪B) =
(ii) Given P (A) = 0.35
P (B) =?
P (A∩B) = 0.25
P (A∪B) = 0.6
So, P (A∪B) = P (A) + P (B) – P (A∩B)
0.6 = 0.35 + P (B) – 0.25
P (B) = 0.6 – 0.35 + 0.25
P (B) = 0.5
(iii) Given P (A) = 0.5
P (B) = 0.3
35. Check whether the following probabilities P(A) and P(B) are consistently defined
(i) P(A) = 0.5, P(B) = 0.7, P(A ∩ B) = 0.6
(ii) P(A) = 0.5, P(B) = 0.4, P(A ∪ B) = 0.8
35. Check whether the following probabilities P(A) and P(B) are consistently defined
(i) P(A) = 0.5, P(B) = 0.7, P(A ∩ B) = 0.6
(ii) P(A) = 0.5, P(B) = 0.4, P(A ∪ B) = 0.8
35. Given P (A) = 0.5
P (B) = 0.7
And P (A∩B) = 0.6
As P (A∩B) > P (A) which is not possible.
The given probabilities are not consistently defined.
(ii) Given, P (A) = 0.5
P (B) = 0.4
And P (A∪B) = 0.8
So, P (A∪B) = P (A) + P (B) – P (A∩B)
0.8 = 0.5 + 0.4 – P (A∩B)
P (A∩B) = 0.5 + 0.4 – 0.8
P (A∩B) = 0.1
Hence
34. In a lottery, a person choses six different natural numbers at random from 1 to 20, and if these six numbers match with the six numbers already fixed by the lottery committee, he wins the prize. What is the probability of winning the prize in the game? [Hint order of the numbers is not important.]
34. In a lottery, a person choses six different natural numbers at random from 1 to 20, and if these six numbers match with the six numbers already fixed by the lottery committee, he wins the prize. What is the probability of winning the prize in the game? [Hint order of the numbers is not important.]
34.
. Since 6 numbers are to be choosen as fixed from a set a given 20 number, the sample space is
Let A: person wins the prize.
In order to win the prize the 6 number has to be correct i.e. all 6 of the number are to be choosen from fixed 6 numbers we have,
? P (A) = .
33. A letter is chosen at random from the word ‘ASSASSINATION’. Find the probability that letter is (i) A vowel (ii) A consonan
33. A letter is chosen at random from the word ‘ASSASSINATION’. Find the probability that letter is (i) A vowel (ii) A consonan
33. The sample space of word is
S = {A, S, A, S, I, N, A, T, I, O, N}
So, n (S) = 13.
(i) Let A: word is a vowel
A = {A, I, A, I, O}
So, n (A) = 6
? P (A) =
(ii) Let B: Word is a consonant
B = {S, N, T, N}
So, n (B) = 7
? P (B) = .
32. If is the probability of an event, what is the probability of the event ‘not A’.
32. If is the probability of an event, what is the probability of the event ‘not A’.
32. Let A be the event
Given that, P (A) =
So, P (not A) = P (S) – P (A) =
31. Three coins are tossed once. Find the probability of getting
(i) 3 heads
(ii) 2 heads
(iii) Atleast 2 heads
(iv) Atmost 2 heads
(v) No head
(vi) 3 tails
(vii) Exactly two tails
(viii) No tail
(ix) Atmost two tails
31. Three coins are tossed once. Find the probability of getting
(i) 3 heads
(ii) 2 heads
(iii) Atleast 2 heads
(iv) Atmost 2 heads
(v) No head
(vi) 3 tails
(vii) Exactly two tails
(viii) No tail
(ix) Atmost two tails
31. When three coins are tosses we have the sample space,
S = {HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}
So, n (S) = 8
(i) Let A: 3 heads occurs.
A = {HHH}
So, n (A) = 1
? P (A) =
(ii) Let B: 2 heads occurs
B = {HHT, HTH, THH}
So, n (B) = 3
? P (B) =
(iii) Let C: at least 2 heads occurs i.e. 2 he
30. A fair coin is tossed four times, and a person win Re 1 for each head and lose Rs 1.50 for each tail that turns up.
From the sample space calculate how many different amounts of money you can have after four tosses and the probability of having each of these amounts.
30. A fair coin is tossed four times, and a person win Re 1 for each head and lose Rs 1.50 for each tail that turns up.
From the sample space calculate how many different amounts of money you can have after four tosses and the probability of having each of these amounts.
30. When a coin is tossed four times we have the sample space,
S = {HHHH, HHHT, HHTH, HTHH, THHH, HHTT, THHT, TTHH, THTH, HTHT, HTTH, TTTH, TTHT, THTT, HTTT, TTTT}
So, n (S) = 16.
Case I: When the outcome is all head, the amount is 1 + 1 + 1 + 1 =? 4 gain
Case II: When the outcome is 3 head and one ta