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1751.

Two dice are thrown. The events A, B, and C are as follows. A: getting an even number on the first die. B: getting an odd number on the first die. C: getting the sum of the numbers on the dice < 5. Describe the events: (i) A’ (ii) not B (iii) A or B (iv) A and B (v) A but not C (vi) B or C (vii) B and C (viii) A∩B’∩C’. 

Answer»

We have, sample space S of the experiment is 5 = {(x,y):x,y = l,2,3,4,5,6} 

Then A = {(2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (4.1), (4,2), (4,3), (4,4), (4,5), (4,6) (6.1),(6,2),(6,3),(6,4),(6,5),(6,6)} 

B = {(1,1),(1,2),(1,3),(1,4),(1,5),(1,6), (3.1) , (3,2), (3,3), (3,4), (3,5), (3,6), (5.1) , (5,2), (5,3), (5,4), (5,5), (5,6)} 

C = {(1,1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3) (3.1) , (3,2), (4,1)} 

(i) A’ = B 

(ii) B’ = A 

(iii) A∪B = S 

(iv) A∩B = ϕ 

(v) A – C = {(2,4),(2,5),(2,6),(4,2),(4,3) , (4,4), (4,5), (4,6), (6,1), (6,2), (6,3), (6,4),(6,5),(6,6)} 

(vi) B ∪ C = {(1,1), (1,2), ………… (1,6), (2,1), (2,2), (2.3),(3,1), (3,2), (3,3), ……….. (3,6), (4,1), (5,1), (5,2),(5,6)} 

(vii) B ∩ C = {(1,1),(1,2),(1,3),(1,4),(3,1),(3,2)}

(viii) Here, C’ = S – C and B’ = A 

∴ A ∩ B’∩ C’ = A ∩ A ∩ C’ 

= A ∩ C’ 

= {(2,4), (2,5), (2,6), (4,2), (4.3), (4,4), …………, (4,6), (6,1), (6,2), ………. , (6,6)}

1752.

Limitations of Mathematical or Classical definition of Probability.

Answer»
  • When the number of outcomes of the sample space is infinite, it cannot be used to find the probability of an event.
  • If the total number of outcomes of the sample space is unknown, the probability of an event cannot be obtained.
  • If all possible outcomes of the sample space are not equiprobable, the probability of an event cannot be obtained.
1753.

Which of the following statement for probability of elementary events H and T of random experiment of tossing a balanced coin is not true ?(a) P(T) = 0.5(b) P(H) + P(T) = 1(c) P(H ∩ T) = 0.5(d) P(H) = 0.5

Answer»

Correct option is (c) P(H ∩ T) = 0.5

1754.

What is the other name of the classical definition of probability?(a) Mathematical definition(b) Axiomatic definition(c) Statistical definition(d) Geometric definition

Answer»

Correct option is (a) Mathematical definition

1755.

Which of the following options is not true for any two events A and B in the sample space U; where, A ⊂ B?(a) P(A ∩ B) = P(B)(b) P(A ∩ B) = P(A)(c) P(A ∪ B) ≥ P(A)(d) P(B-A) = P(B)-P(A)

Answer»

Correct option is (a) P(A ∩ B) = P(B)

1756.

6 LED televisions and 4 LCD televisions are displayed in digital store A whereas 5 LED televisions and 3 LCD televisions are displayed in digital store B. One of the two stores is randomly selected and one television is selected from that store. Find the probability that it is an LCD television.

Answer»

Digital store A: 6 LED TV + 4 LCD
TV = 10 TVs are displayed

Digital store A: 6 LED TV + 4 LCD
TV = 10 TVs are displayed

A1 = Event that a store is selected from the store A and B
∴ p(A1) = \(\frac{1}{2}\)

A2 = Event that LCD TV is selected from the store A
∴ p(A2) = \(\frac{^4C_1}{^{10} C_1} = \frac{4}{10}\)

B1 = Event that if store A is selected then LCD TV is selected.
∴ p(B1) = p(A1) ∙ p(A2) = \(\frac{1}{2}×\frac{4}{10} = \frac{4}{20}\)

B2 = Event that if store B is selected then LCD TV is selected
∴ p(B2) = p(A1) ∙ p(A3) = \(\frac{1}{2}×\frac{3}{8} = \frac{3}{16}\)

C1 = Event that if one of the two stores is selected then LCD TV Is selected

= B1 ∪ B2

∴ P(C1) = P(B1) + P(B2)

\(\frac{4}{20}+\frac{3}{16}\)

\(\frac{16+15}{80}\)

\(\frac{31}{80}\)

1757.

Which of the following options is true for any event of the sample space ?(a) P(A) < 0(b) 0 ≤ P(A) ≥ 1(c) 0 ≤ P(A) ≤ 1(d) P(A) > 1

Answer»

Correct option is (c) 0 ≤ P(A) ≤ 1

1758.

One number is randomly selected from the natural numbers 1 to 100. Find the probability that the number selected is either a single digit number or a perfect square.

Answer»

One number is randomly selected from the numbers 1 to 100.

∴ Total number of primary outcomes,

n = 100C1 = 100

A = Event that the number selected is a single digit number

= {1. 2,3, 4,5,6,78, 9}

∴ m = 9

∴ P(A) =\(\frac{ m}{n} = \frac{9}{100}\)

B = Event that the number selected is a perfect square

= {1, 4, 9, 16, 25, 36, 49, 64, 81, 100)

∴ m = 10

∴ P(B) = \(\frac{ m}{n} = \frac{10}{100}\)

A ∩ B = Event that the selected number is a single digit number and a perfect square

= {1, 4,9}

∴ m = 3

∴ P(A ∩ B) = \(\frac{m}{n}=\frac{3}{100}\)

Now, A ∪ B = Event that the number selected is either a single digit number or a perfect square

∴ P(A ∪ B) = P(A) + P(B) – P(A ∩ B)

\(\frac{9}{100}+\frac{10}{100}−\frac{3}{100}\)

\(\frac{16}{100}=\frac{4}{25}\)

1759.

If events A and B are independent, which of the following options is true?(a) P(A ∩ B) = P(A) × P(B)(b) P(A ∪ B) = P(A) + P(B)(c) P(A ∪ B) = P(A) × P(B)(d) P(A ∩ B) = P(A) + P(B)

Answer»

Correct option is (a) P(A ∩ B) = P(A) × P(B)

1760.

If one number is randomly selected between 1 and 20, what is the probability that the number is a multiple of 5 ?(a) \(\frac{1}{2}\)(b) \(\frac{1}{6}\)(c) \(\frac{1}{5}\)(d) \(\frac{1}{3}\)

Answer»

P(E) = Favourable outcomes/ total no. of possible outcomes

here, favourable outcomes are 5,10,15,20...

So P(multiple of 5) = 4/20 = 1/5 

So, the answer is (c) 1/5.

Correct option is (c) \(\frac{1}{5}\)

1761.

What is the total number of sample points in the sample space formed by throwing three six-faced balanced dice simultaneously?(a) 62(b) 36(c) 6 × 3(d) 63

Answer»

Correct option is (d) 63

1762.

Let A be a set consisting of n elements. The probability of selecting two subsets P and Q of set A such that `Q= overline(P)`, isA. `(1)/(2)`B. `(1)/(2^(n)-1)`C. `(1)/(2^(n))`D. `(1)/(3^(n))`

Answer» Correct Answer - B
The set A has `2^(n)` elements. Therefore, two subsets P and Q can be chosen in `2^(n) C_(2)` ways.
Suppose P consists of r elements. Then, P can be chosen in `.^(n)C_(r )`.
Since, `Q=overline(P)`. Therefore, P and Q can be chosen in `.^(n)C_(r )` ways. But, r can vary from 0 to n and P and Q can be interchanged also.
`therefore` Number of ways of selecting P and Q such that `Q=overline(P)` is
`(1)/(2) underset(r=0)overset(n)sum .^(n)C_(r )=2^(n-1)`
Hence, required probability `=(2^(n-1))/(.^(2n)C_(2))=(1)/(2^(n)-1)`
1763.

Two events A and B of a sample space are mutually exclusive. Which of the following will be equal to P(B-A)?(a) P(A)(b) P(B)(c) P(A ∩ B)(d) P(A ∪ B)

Answer»

Correct option is (b) P(B)

1764.

If A and B are two mutually exclusive events, then the relation between `P(bar A) and P(B)` isA. `P(A) le P(overline(B))`B. `P(A) gt P(overlineB)`C. `P(A) lt P(B)`D. none of these

Answer» Correct Answer - A
Since A and B are mutually exclusive events.
` therefore A cap B = phi`
`implies A sube overline(B) " and " B sube overline(A)`
`implies P(A) le P(overline(B)) " and " P(B) le P(overline(A))`
1765.

If `barE` and `barF` are the complementary events of E and F respectively and if `0 < P(F)

Answer» Correct Answer - A::D
Since `E//F " and " overline(E )//F` are complementary events.
`therefore P(E//F)+P(overline(E )//F)=1`
Similarly, `E// overline(F) " and " overline(E )// overline(F)` are also complementary events.
`therefore P(E// overline(F))+P(overline(E )// overline(F))=1`
1766.

If P(A|B) = P(A) and P(B|A) = P(B), then what type of events are A and B ?(a) Independent events(b) Complementary events(c) Certain events(d) Impossible events

Answer»

Correct option is (a) Independent events

1767.

If `barE` and `barF` are the complementary events of E and F respectively and if `0 < P(F)

Answer» Correct Answer - A::B
`(a) P(E//F) + P(bar(E)//F) = (P (E nn F))/(P(F)) + (P(bar(E) nn F))/(P(F))`
` = (P(E nn F) + P( bar(E) nn F))/(P(F))`
` = (P(F))/(P(F)) = 1`
Therefore, option (a) is correct.
`(b) P(E//F) + P(E//bar(F)) = (P(E nn F))/(P(F)) + (P(E nn bar(F)))/(P(bar(F)))`
` = (P(E nn F))/(P(F)) + (P(E nn bar(F))/(1-P(F)) ne 1`
Therefore, option (b) is not correct.
`(c) P(bar(E)//F) + P(E// bar(F)) = (P(bar(E) nn F))/(P(F)) + (P(E nn bar(F)))/(P(bar(F)))`
`= (P (bar(E) nn F))/(P(F)) + (P(E nn bar(F)))/(1-P(F)) ne 1`
Therefore, option (c) is not correct.
`(d) P(E//bar(F)) + P(bar(E)//bar(F)) = (P(E nn bar(F)))/(P(bar(F))) + (P(bar(E) nn bar(F)))/(P(bar(F)))`
` = (P(bar(F)))/(P(bar(F))) = 1`
Therefore, option (d) is correct.
1768.

If A ∪ A’ = U, then what type of events are A and A’ ?(a) Independent events(b) Complementary events(c) Certain events(d) Impossible events

Answer»

Correct option is (b) Complementary events

1769.

(i) If A and B are two complementary events then what is the relation between P(A) and P(B)?(ii) If the probability of happening an event A is 0.46. What will be the probability of not happening of the event A?

Answer»

(i) Two complementary events, taken together, include all the outcomes for an experiment and the sum of the probabilities of all outcomes is 1. P(A) + P(B) = 1

(ii) P(A) = 0.46 

Let P(B) be the probability of not happening of event A

We know, 

P(A) + P(B) = 1

P(B) = 1 – P(A) 

P(B) = 1 – 0.46 

P(B) = 0.54 

Hence the probability of not happening of event A is 0.54

1770.

Which number cannot represent a probability?A. `(2)/(3)`B. 1.5C. 0.15D. 0.7

Answer» Correct Answer - B
1771.

If n(A)=6 and n(S)=36, then P(A)=?A. 6B. `(1)/(6)`C. 30D. 3

Answer» Correct Answer - B
1772.

A die is rolled. What is the probability that the number appearing on upperface is less than 3?A. `(1)/(6)`B. `(1)/(3)`C. `(1)/(2)`D. 0

Answer» Correct Answer - B
1773.

In a game of chance, a spinning arrow comes to rest at one of the numbers 1, 2, 3, 4, 5, 6, 7, 8. All these are equally likely outcomes. Find the probability that it will rest at i. 8. ii. an odd number. iii. a number greater than 2. iv. a number less than 9.     

Answer»

Sample space (S) = {1,2, 3, 4, 5, 6, 7, 8} 

∴ n(S) = 8 

i. Let A be the event that the spinning arrow comes to rest at 8.

∴ A = {8}

∴ n(A) = 1

∴ P(A) = \(\frac{n(A)}{n(S)}\)

∴ P(A) = 1/8

ii. Let B be the event that the spinning arrow comes to rest at an odd number.

∴ B = {1,3,5,7}

∴ n(B) = 4

∴ P(B) = \(\frac{n(B)}{n(S)}\) = 4/8

∴ P(B) = 1/2

iii. Let C be the event that the spinning arrow comes to rest at a number greater than 2.

∴ C = {3,4,5,6,7,8}

∴ n(C) = 6

∴ P(C) = \(\frac{n(C)}{n(S)}\) = 6/8

∴ P(C) = 3/4

iv.  Let D be the event that the spinning arrow comes to rest at a number less than 9. 

∴ D = {1,2, 3, 4, 5, 6, 7, 8}

∴ n(D) = 8 

∴ P(D) = \(\frac{n(D)}{n(S)}\) = 8/8

∴ P(D) = 1

∴P(A) = 1/8; P(B) = 1/2; P(C) = 3/4; P(D) = 1

1774.

What is the probability of the event that a number chosen from 1 to 100 is a prime number? (A) 1/5 (B)  6/25(C)  1/4(D 13/50

Answer»

The correct answer is : (C) 1/4

1775.

What is the probability of the event that a numbr chosen from 1 to 50 is an odd number?A. 0.2B. 0.4C. 0.5D. 0.6

Answer» Correct Answer - C
1776.

If `n(A)=2,P(A)=1/5,then" n"(S)=?`A. 10B. `(5)/(2)`C. `(2)/(5)`D. `(1)/(3)`

Answer» Correct Answer - A
1777.

What is the probability of the event that a number chosen from 1 to 100 is a prime number?A. `(1)/(5)`B. `(6)/(25)`C. `(1)/(4)`D. `(13)/(50)`

Answer» Correct Answer - C
1778.

If `n(A)=2,P(A)=(1)/(5)`, then n(S)=?A. 10B. `(5)/(2)`C. `(2)/(5)`D. `(1)/(3)`

Answer» Correct Answer - A
1779.

What is the probability of the event that a number chosen from 1 to 100 is a prime number?(A) 1/5(B) 6/25(C) 1/4(D) 13/50

Answer»

Correct answer is

(C) 1/4

n(S) = 100

Let A be the event that the number chosen is a prime number.

∴ A = {2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53, 59, 61, 67, 71, 73, 79, 83, 89, 97}

∴ n(A) = 25

∴ P(A) = \(\frac{n(A)}{n(S)} = \frac{25}{100} = \frac{1}{4}\)

1780.

A bag contains cards which are numbered from 2 to 90. A card is drawn at random from the bag. Find the probability that it bears.(i) a two digit number(ii) a number which is a perfect square

Answer»

Total no. of possible outcomes = 89 {2, 3, 4, …., 90}

(i) Let E ⟶ event of getting a 2 digit no.

No. favourable outcomes = 81 {10, 11, 12, 13, ….., 80}

P(E) = (No.of favorable outcomes)/(Total no.of possible outcomes) = 81/89

(ii) E ⟶ event of getting a no. which is perfect square

No. favourable outcomes = 8 {4, 9, 16, 25, 36, 49, 64, 81}

P(E) = 8/89

1781.

There are 40 cards in a bag. Each bears a nubmer from 1 to 40. One card is drawn at random. What is the probability that the card bears a number which is a multiple of 5?A. `(1)/(5)`B. `(3)/(5)`C. `(4)/(5)`D. `(1)/(3)`

Answer» Correct Answer - A
1782.

There are 40 cards in a bag. Each bears a number from 1 to 40. One card is drawn at random. What is the probability that the card bears a number which is a multiple of 5 ?A. `(1)/(5)`B. `(3)/(5)`C. `(4)/(5)`D. `(1)/(3)`

Answer» Correct Answer - A::B::C::D
1783.

There are 40 cards in a bag. Each bears a number from 1 to 40. One card is drawn at random. What is the probability that the card bears a number which is a multiple of 5?(A) 1/5(B) 3/5(C) 4/5(D) 1/3

Answer»

Correct answer is

(A) 1/5

1784.

The probability of selecting a red ball at random from a jar that contains only red, blue and orange balls is `1/4`. The probability of selecting a blue ball at random from the same jar is ` 1/3`. If the jar contains 10 orange balls, find the total number in the jar.

Answer» Correct Answer - 24
P(getting a red ball) = ` 1/4`, P(getting a blue ball) = `1/3`.
Let P(getting an orange ball ) be x.
Since there are only thre types of balls in the jar, the sum of probabilities of drawing these balls must be 1.
` :. 1/4 + 1/3 + x = 1 rArr 7/12 + x = 1 rArr x = (1-7/12) = 5/12`.
` :.` P(getting an orange ball) = ` 5/12`. ....(i)
Let the total number of balls in the jar be n.
Number of orange balls = 10.
` :. ` P(getting an orange ball ) ` = 10/n`.
` rArr 10/n = 5/12 rArr 5n = 120 rArr n = 24 ` [using (i)].
Hence, the total number of balls in the jar is 24.
1785.

A bag contains 18 balls out of which x balls are red.(i) If the ball is drawn at random from the bag, what is the probability that it is not red?(ii) If two more red balls are put in the bag, the probability of drawing a red ball will be 9/8 times the probability of drawing a red ball in the first case. Find the value of x.

Answer»

Total number of balls = 18

(i) Let x be number of red balls. So, there are (18 – x) non red balls.

P(getting a non red ball) = (18-x)/18

(ii) if 2 more red balls are out in the bag, then there are 20 total number of balls.

Number of red balls x + 2

So we have,

P(getting a red ball) = 9/8 p(getting a red ball in first option)

Now,

(x+2)/20 = 9/8(x/18)

16x + 32 = 20x

X = 8

1786.

The probability of selecting a red ball at random from the jar that contains only red, blue and orange balls is 1/4.The probability of selecting a blue ball at random from the same jar is 1/3. If the jar contains 10 orange balls, find the total number of balls in the jar.

Answer»

Let total number of balls = x

Orange balls in the jar = 10

P(getting an orange ball) = 10/x

Since jar contains only red, blue and orange balls.

P(getting a red ball) + P(getting a blue ball) + P(getting a orange ball) = 1

(Because sum of probability = 1)

1/4 + 1/3 + 10/x = 1

3x + 4x + 120 = 12x

x = 24

Hence there are total 24 balls in the jar.

1787.

A piggy bank contains hundred 50-p coins, seventy ₹ 1 coin, fifty ₹ 2 coins and thirty ₹ 5 coins. If it is equally likely that one of the coins will fall out when the bank is turned upside down, what is the probability that the coin(i) will be a ₹ 1 coin?(ii) will not be a ₹ 5 coin?(iii) will be a 50-p or a ₹ 2 coin?

Answer»

Total numbers of cards = 100 + 70 + 50 + 30 = 250

(i) Number of favourable outcomes = seventy ₹ 1 coin = 70

P(getting ₹ 1 coin) = 70/250 = 7/25

(ii) Numbers of ₹ 5 coins = thirty ₹ 5 coins = 30

Numbers of favourable outcomes = will not be a ₹ 5 coin = 250 – 30 = 220

P(getting a coin will not be a ₹ 5 coin) = 220/250 = 22/25

(iii) Number of 50-p coins = 100

Number of ₹ 2 coins = 50

Total coins = 100+50 = 150

P (getting 50-p coin or ₹ 2 coins)= 150/250 = 3/5

1788.

Refer to Table 14.7, Chapter 14.(i) Find the probability that a student obtained less than 20% in the mathematics test.(ii) Find the probability that a student obtained marks 60 or above.

Answer» Here, the total number of students, `N = 90`
Number of students those who obtained less than `20%` marks `E_l= 7`
Number of students those who obtained `60 or above` marks `E_g= 15+8 = 23`
(i)Probability a student obtained less than `20%` marks, `P(E_l) = E_l/N = 7/90`
(ii)Probability a student obtained `60 or above` marks, `P(E_g) = E_g/N = 23/90`
1789.

Under the usual notation in probability, P(E) + P (\(\overline{E}\)) =A) 0B) 1/2C) 1D) None

Answer»

Correct option is: C) 1

P(E) + P (\(\overline E\)) = P (E) + P (not E) = 1

Correct option is: C) 1

1790.

Two dice are thrown at the same time. What is the probability that the sum of the two numbers appearing on the top of the dice is 8 ?A) 31/36B) 5/36C) 8/36D) 1

Answer»

Correct option is: B)\(\frac 5 {36}\)

Since, two dice are thrown.

\(\therefore\) Total possible outcomes = n (s) = 6 \(\times\) 6 = 36.

Outcomes fabourable to event that the sum of numbers appearing on the top of both dices is 8 are 

{(2,6), (3, 5), (4, 4), (5, 3), (6, 2)}

\(\therefore\) Total favourable outcomes = 5.

\(\therefore\) Probability = \(\frac {Total \, favourable \, outcome}{Total\, possible \, outcomes}\) = \(\frac 5 {36}\)

Correct option is: B) \(\frac{5}{36}\)

1791.

If A and B are two events such that P (A ∩ B) = 0.32 and P (B) = 0.5, find P (A/B).

Answer»

We have,  \(P(\cfrac{A}{B})=\cfrac{P(A\cap B)}{P(B)}\) 

Therefore \(P(\cfrac{A}{B})=\cfrac{0.32}{0.5}\)

{multiply numerator and denominator by 2 to convert into the whole number}

= 0.64

1792.

If P (A) = 0.4, P (B) = 0.8, P (B/A) = 0.6. Find P (A/B) and P (A ∪ B).

Answer»

We have, P (A ∪ B) = P (A)+ P (B)- P (A ∩ B)

From equation, \(P(\cfrac{B}{A})=\cfrac{P(A\cap B)}{P(A)}\)

P (B ∩ A) = \(P(\cfrac{B}{A})\) x P(A) = 0.6 x 0.4

= 0.24

Hence,  \(P(\cfrac{A}{B})=\cfrac{P(A\cap B)}{P(B)}=\cfrac{0.24}{0.8}\)

= 0.3

And P (A ∪ B) = P (A)+ P (B)- P (A ∩ B)

= 0.4 + 0.8 - 0.24

= 0.96

1793.

If P (A ∩ B) = P (A ∪ B) for any two events A and B, then A. P (A) = P (B) B. P (A) &gt; P (B) C. P (A) &lt; P (B) D. None of these

Answer»

As, (A ∪ B) = (A ∩ B) 

⇒ A and B are same sets. 

∴ P(A) = P(B) 

Our answer matches with option (a) 

∴ Option (a) is the only correct choice

1794.

If P (A ∪ B) = P (A ∩ B) for any two events A and B, then A. P (A) = P  B. (B) P (A) &gt; P (B) C. P (A) &lt; P (B) D. none of these

Answer»

We have, P(A ⋃ B) = P(A ⋂ B)

By General Addition Rule,

P(A) + P (B) – P(A  B) = P(A  B)

⇒ P(A) + P (B) – P(A ⋂ B) = P(A ⋂ B) [given]

⇒ [P(A) – P(A ⋂ B)] + [P(B) – P(A ⋂ B)] = 0

But P(A) – P(A ⋂ B) ≥ 0

and P(B) – P(A ⋂ B) ≥ 0

[∵ P(A ⋂ B) ≤ P(A) or P(B)]

⇒ P(A) – P(A ⋂ B) = 0

and P(B) – P(A ⋂ B) = 0

⇒ P(A) = P(A ⋂ B) …(i)

and P(B) = P(A ⋂ B) …(ii)

From (i) and (ii), we get

∴ P(A) = P(B)

Hence, the correct option is (A).

1795.

6 boys and 6 girls sit in a row at random. Find the probability that all the girls sit together.

Answer»

Given there are 6 boys and 6 girls

\(\therefore\) No of ways in which 6 boys and 6 girls sitting together in a row=7!

6 girls sitting arrangement = 6!

\(\therefore\) required probability = \(\cfrac{7!\times6!}{12!}\)

\(\cfrac1{132}\)

1796.

If there are 6 girls and 5 boys who sit in a row, then the probability that no two boys sit together isA. `(|__6|__6)/(|__2|__11)`B. `(|__7|__5)/(|__11)`C. `(|__6|__7)/(2|__11)`D. None of these

Answer» Correct Answer - C
N/a
1797.

A and B throw a pair of dice alternately. A wins the game, if he gets a total of 6 anfd B wins, if she gets a total of 7. If a starts the game, then find the probabbility of winning the game by A in third throw of the pair of dice.

Answer» Let `A_(1)=A` total of 6={(2,4),(1,5),(5,1),(4,2),(3,3)}`
and `B_(1)=A` total of 7={(2,5),(1,6),(6,1),(5,2),(3,4),(4,3)}`
Let P(A) is the probability, If A wins in a throw`rArrP(A)=5/36`
and P(B) is the probability, if B wins in a throw `rArrP(B)=1/6`
`therefore` Required probability=`P(barA)cdotP(barB)cdotP(A)=31/36cdot5/6=(775)/(216cdot36)=775/7776`
1798.

The mean and variance of a binomial distribution are `(5)/(4) and (15)/(16)` respectively, then value of p, isA. `(1)/(2)`B. `(15)/(16)`C. `(1)/(4)`D. `(3)/(4)`

Answer» Correct Answer - (c)
1799.

A and B are events such that P(A) = 0.4, P(B) = 0.3 and P(A ∪ B) = 0.5. Then P (B′ ∩ A) equalsA. 2/3B. 1/2C. 3/10D. 1/5

Answer»

We have,

P(A) = 0.4, P(B) = 0.3 and P(A ∪ B) = 0.5

Now,

P(A ∪ B) = P(A) + P(B) – P(A ∩ B)

[Additive Law of Probability]

⇒ 0.5 = 0.4 + 0.3 – P(A ∩ B)

⇒ P(A ∩ B) = 0.7 – 0.5

⇒ P(A ∩ B) = 0.2

∴ P(B’ ∩ A) = P(B’) P(A)

= [1 – P(B)]× P(A)

[sum of the probabilities of an event and its complement is 1]

= P(A) – P(A)P(B)

= P(A) – P(A ∩ B)

= 0.4 – 0.2

= 0.2

= 1/5

Hence, the correct option is D

1800.

Two natural numbers r, s are drawn one at a time, without replacement from the set S= {1, 2, 3, ...., n}. Find P [r ≤ p|s ≤ p], where p ∈ S.

Answer»

Given, S = {1, 2, 3, …, n}

So, P(r ≤ p/s ≤ p) = P(P ⋂ S)/ P(S)

= p – 1/n x n/(n – 1)

= (p – 1)/(n – 1)

Therefore, the required probability is (p – 1)/(n – 1).