**1. Complete the following statements: **

**(i) Probability of an event E + Probability of the event ‘not E’ = _______. **

**(ii) The probability of an event that cannot happen is _________. Such as event is called _________. **

**(iii) The probability of an event that is certain to happen is _________. Such as event is called ________. **

**(iv) The sum of the probabilities of all the elementary events of an experiment is _________. **

**(v) The probability of an event is greater than or equal to _______ and less than or equal to _______. **

Answer :

(i) 1

(ii) 0, impossible event

(iii) 1, sure event or certain event

(iv) 1

(v) 0, 1

**2. Which of the following experiments have equally likely outcomes? Explain. **

**(i) A driver attempts to start a car. The car starts or does not start. **

**(ii) A player attempts to shoot a basketball. She/he shoots or misses the shot. **

**(iii) A trial is made to answer a true-false question. The answer is right or wrong. **

**(iv) A baby is born. It is a boy or a girl. **

Solution:

(i) It is not an equally likely event, as it depends on various factors such as whether the car will start or not. And factors for both the conditions are not the same.

(ii) It is not an equally likely event, as it depends on the player’s ability and there is no information given about that.

(iii) It is an equally likely event.

(iv) It is an equally likely event.

**3. Why is tossing a coin considered to be a fair way of deciding which team should get the ball at the beginning of a football game? **

Solution:

When we toss a coin, the possible outcomes are only two, head or tail, which are equally likely outcomes. Therefore, the result of an individual toss is completely unpredictable.

**4. Which of the following cannot be the probability of an event? **

(i) ^{2}/_{3}

(ii) -1.5

(iii) 15%

(iv) 0.7

Solution:

Probability of an event (E) is always greater than or equal to 0. Also, it is always less than or equal to one. This implies that the probability of an event cannot be negative or greater than 1.

Thus, out of these alternatives, −1.5 cannot be a probability of an event. Therefore, (B)

**If P(E) = 0.05, what is the probability of ‘not E’?**

Solution:

We know that,

Therefore, the probability of ‘not E’ is 0.95

**6. A bag contains lemon flavored candies only. Malini takes out one candy without looking into the bag. What is the probability that she takes out **

**(i) an orange flavored candy? **

**(ii) a lemon flavored candy? **

Solution:

(i) The bag contains lemon flavored candies only. It does not contain any orange flavored candies. This implies that every time, she will take out only lemon flavored candies. Therefore, event that Malini will take out an orange flavored candy is an impossible event. Hence, P (an orange flavored candy) = 0

(ii) As the bag has lemon flavored candies, Malini will take out only lemon flavored candies. Therefore, event that Malini will take out a lemon flavored candy is a sure event. P (a lemon flavored candy) = 1

**7. It is given that in a group of 3 students, the probability of 2 students not having the same birthday is 0.992. What is the probability that the 2 students have the same birthday? **

Solution:

Probability that two students are not having same birthday P (E ) = 0.992

Probability that two students are having same birthday P (E) = 1 − P ( ) = 1 − 0.992 = 0.008

**8. A bag contains 3 red balls and 5 black balls. A ball is drawn at random from the bag. What is the probability that the ball drawn is (i) red? (ii) not red?**

Solution:

(i) Total number of balls in the bag = 8

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{3}/_{8}

(ii) Probability of not getting red ball = 1 – Probability of getting a red ball = 1 – ^{3}/_{8} = ^{5}/_{8}

**A box contains 5 red marbles, 8 white marbles and 4 green marbles. One marble is taken out of the box at random. What is the probability that the marble taken out will be (i) red? (ii) white? (iii) not green?**

Solution:

Total number of marbles = 5 + 8 + 4 = 17

(i) Number of red marbles = 5

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{5}/_{17}

(ii) Number of white marbles = 8

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{8}/_{17}

(iii) Number of green marbles = 4

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{4}/_{17}

Probability of not getting a green marble = 1 – ^{4}/_{17 }= ^{13}/_{17}

**A piggy bank contains hundred 50 p coins, fifty Rs 1 coins, twenty Rs 2 coins and ten Rs 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 50 p coin?**

**(ii) Will not be a Rs.5 coin?**

Solution:

Total number of coins in a piggy bank = 100 + 50 + 20 + 10 = 180

(i) Number of 50p coins = 100

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{100}/_{180} = ^{5}/_{9}

(ii) Number of Rs. 5 coins = 10

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{10}/_{180} = ^{1}/_{18}

Probability of not getting aRs. 5 coin = 1 – ^{1}/_{18} = ^{17}/_{18}

**Gopi buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing 5 male fish and 8 female fish (see the given figure). What is the probability that the fish taken out is a male fish?**

Solution:

Total number of fishes in a tank

= Number of male fishes + Number of female fishes = 5 + 8 = 13

Probability of getting a red ball = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{5}/_{13}

**A game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers 1, 2, 3, 4, 5, 6, 7, 8 (see the given figure), and these are equally likely outcomes. What is the probability that it will point at**

** (i) 8? **

**(ii) an odd number? **

**(iii) a number greater than 2?**

** (iv) a number less than 9?**

Solution:

Total number of possible outcomes = 8

(i) Probability of getting 8 = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{8}

(ii) Total number of odd numbers on spinner = 4

Probability of getting an odd number = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{4}/_{8} = ^{½}

(iii) The numbers greater than 2 are 3, 4, 5, 6, 7, and 8. Therefore, total numbers greater than 2 are 6.

Probability of getting a number greater than 2 = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{6}/_{8} = ^{¾}

(iv) The numbers less than 9 are 1, 2, 3, 4, 6, 7, and 8. Therefore, total numbers less than 9 = 8 Probability of getting a number less than 9 = ^{8}/_{8} = 1

**A die is thrown once. Find the probability of getting (i) a prime number; (ii) a number lying between 2 and 6; (iii) an odd number.**

Solution:

The possible outcomes when a dice is thrown = {1, 2, 3, 4, 5, 6}

Number of possible outcomes of a dice = 6

(i) Prime numbers on a dice are 2, 3, and 5. Total prime numbers on a dice = 3

Probability of getting a prime number = ^{3}/_{6} = ^{½}

(ii) Numbers lying between 2 and 6 = 3, 4, 5

Total numbers lying between 2 and 6 are 3

Probability of getting a number lying between 2 and 6 = ^{3}/_{6} =^{1}/_{2}

(iii) Odd numbers on a dice = 1, 3, and 5

Total odd numbers on a dice = 3

Probability of getting an odd number =^{3}/_{6} = ^{1}/_{2}

**One card is drawn from a well-shuffled deck of 52 cards. Find the probability of getting**

**(i) a king of red colour**

**(ii) a face card**

**(iii) a red face card**

**(iv) the jack of hearts**

**(v) a spade**

**(vi) the queen of diamonds**

Solution:

Total number of cards in a well-shuffled deck = 52

(i) Total number of kings of red colour = 2

Probability of getting a red color = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{2}/_{52} = ^{1}/_{26}

(ii) Total number of face card = 12

Probability of getting a face card = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{12}/_{52} = ^{3}/_{13}

(iii) Total number of kings of red face cards = 6

Probability of getting kings of red face cards = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{6}/_{52} = ^{3}/_{26}

(iv) Total number of Jack of hearts = 1

Probability of getting Jack of hearts = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{52}

(v) Total number of space cards = 13

Probability of getting space cards = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{13}/_{52} = ^{¼}

(vi) Total number of Queen of diamonds = 1

Probability of getting Queen of diamonds = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{52}

**Five cards in the ten, jack, queen, king and ace of diamonds, are well-shuffled with their face downwards. One card is then picked up at random.**

**(i) What is the probability that the card is the queen?**

**(ii) If the queen is drawn and put aside, what is the probability that the second card picked up is**

**(a) an ace?**

**(b) a queen?**

Solution:

(i) Total number of cards = 5

Total number of queens = 1

Probability of getting a queen = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{5}

(ii) When the queen is drawn and put aside, the total number of remaining cards will be 4.

(a) Total number of aces = 1

Probability of getting an ace = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{4}

(b) As queen is already drawn, therefore, the number of queens will be 0. P

Probability of getting a queen = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{0}/_{4} = 0

**12 defective pens are accidentally mixed with 132 good ones. It is not possible to just look at a pen and tell whether or not it is defective. One pen is taken out at random from this lot. Determine the probability that the pen taken out is a good one.**

Solution:

Total number of pens = 12 + 132 = 144

Total number of good pens = 132

Probability of getting a good pen = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{132}/_{144} = ^{11}/_{12}

**(i) A lot of 20 bulbs contain 4 defective ones. One bulb is drawn at random from the lot. What is the probability that this bulb is defective?**

**(ii) Suppose the bulb drawn in (i) is not defective and is not replaced. Now one bulb is drawn at random from the rest. What is the probability that this bulb is not defective?**

Solution:

(i) Total number of bulbs = 20

Total number of defective bulbs = 4

Probability of a defective bulb = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{4}/_{20} = ^{1}/_{5}

(ii) Remaining total number of bulbs = 19

Remaining total number of non-defective bulbs = 16 − 1 = 15

Probability of not getting a defective bulb = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{15}/_{19}

**A box contains 90 discs which are numbered from 1 to 90. If one disc is drawn at random from the box, find the probability that it bears**

**(i) a two-digit number**

**(ii) a perfect square number**

**(iii) a number divisible by 5.**

Solution:

Total number of discs = 90

(i) Total number of two-digit numbers between 1 and 90 = 81

Probability of getting a two digit number = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{81}/_{90} = ^{9}/_{10}

(ii) Perfect squares between 1 and 90 are 1, 4, 9, 16, 25, 36, 49, 64, and 81. Therefore, total number of perfect squares between 1 and 90 is 9.

Probability of getting a perfect square = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{9}/_{90} = ^{1}/_{10}

(iii) Numbers that are between 1 and 90 and divisible by 5 are 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, and 90. Therefore, total numbers divisible by 5 is 18

Probability of getting a number divisible by 5 = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{18}/_{90} = ^{1}/_{5}

**A child has a die whose six faces shows the letters as given below:**

**A B C D E A**

** The die is thrown once. What is the probability of getting (i) A? (ii) D?**

Solution:

Total number of possible outcomes on the dice = 6

(i) Total number of faces having A on it = 2

Probability of getting A = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{2}/_{6} = ^{1}/_{3}

(ii) Total number of faces having D on it = 1

Probability of getting D = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{6}

**Suppose you drop a die at random on the rectangular region shown in the given figure. What is the probability that it will land inside the circle with diameter 1 m?**

Solution:

Area of rectangle = l × b = 3 × 2 = 6 m^{2}

Area of circle (of diameter 1 m) = 𝜋𝑟^{2} = 𝜋 (^{1}/_{2})^{2} = ^{𝜋}/_{4}

Probability of getting a die will land inside the circle = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = (^{𝜋}/_{4})/_{6} = ^{𝜋}/_{24}

**21. A lot consists of 144 ball pens of which 20 are defective and the others are good. Nuri will buy a pen if it is good, but will not buy if it is defective. The shopkeeper draws one pen at random and gives it to her. What is the probability that **

**(i) She will buy it? **

**(ii) She will not buy it? **

Solution:

Total number of pens = 144

Total number of defective pens = 20

Total number of good pens = 144 − 20 = 124

(i) Probability of getting a good pen P (Nuri buys a pen) = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{124}/_{144} = ^{31}/_{36}

(ii) Probability of getting a good pen P (Nuri will not buy a pen) = ^{Number of favourable outcomes}/_{Number of total possible outcomes} =1 – ^{31}/_{36} = ^{5}/_{36}

**22. Two dice, one blue and one grey, are thrown at the same time. (i) Write down all the possible outcomes and complete the following table: **

Event: sum of two dice |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |

Probability |
^{1}/_{36} |
^{5}/_{36} |
^{1}/_{36} |

**A student argues that ‘there are 11 possible outcomes 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12. Therefore, each of them has a probability 1/11. Do you agree with this argument?**

Solution:

(i) It can be observed that,

To get the sum as 2, possible outcomes = (1, 1)

To get the sum as 3, possible outcomes = (2, 1) and (1, 2)

To get the sum as 4, possible outcomes = (3, 1), (1, 3), (2, 2)

To get the sum as 5, possible outcomes = (4, 1), (1, 4), (2, 3), (3, 2)

To get the sum as 6, possible outcomes = (5, 1), (1, 5), (2, 4), (4, 2), (3, 3)

To get the sum as 7, possible outcomes = (6, 1), (1, 6), (2, 5), (5, 2), (3, 4), (4, 3)

To get the sum as 8, possible outcomes = (6, 2), (2, 6), (3, 5), (5, 3), (4, 4)

To get the sum as 9, possible outcomes = (3, 6), (6, 3), (4, 5), (5, 4)

To get the sum as 10, possible outcomes = (4, 6), (6, 4), (5, 5)

To get the sum as 11, possible outcomes = (5, 6), (6, 5)

To get the sum as 12, possible outcomes = (6, 6)

Event: sum of two dice | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |

Probability | ^{1}/_{36} |
^{2}/_{36} |
^{3}/_{36} |
^{4}/_{36} |
^{5}/_{36} |
^{6}/_{36} |
^{5}/_{36} |
^{4}/_{36} |
^{3}/_{36} |
^{2}/_{36} |
^{1}/_{36} |

(ii) Probability of each of these sums will not be ^{1}/11 as these sums are not equally likely.

**23. A game consists of tossing a one rupee coin 3 times and noting its outcome each time. Hanif wins if all the tosses give the same result i.e., three heads or three tails, and loses otherwise. Calculate the probability that Hanif will lose the game.**

Solution:

The possible outcomes are

{HHH, TTT, HHT, HTH, THH, TTH, THT, HTT}

Number of total possible outcomes = 8

Number of favourable outcomes = 2

{i.e., TTT and HHH}

Probability of Hanif will win the game P = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{2}/_{8} = ^{1}/_{4}

Probability of Hanif will lose the game = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{1}/_{4} = ^{3}/_{4}

24. **A die is thrown twice. What is the probability that **

**(i) 5 will not come up either time? **

**(ii) 5 will come up at least once? **

**[Hint: Throwing a die twice and throwing two dice simultaneously are treated as the same experiment]. **

Solution:

Total number of outcomes = 6 × 6 = 36

(i) Total number of outcomes when 5 comes up on either time are (5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6), (1, 5), (2, 5), (3, 5), (4, 5), (6, 5) Hence, total number of favourable cases = 11

Probability of 5 will come up either time = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{11}/_{36}

Probability of 5 will not come up either time = ^{Number of favourable outcomes}/_{Number of total possible outcomes} =1 – ^{11}/_{36} = ^{25}/_{36}

(ii) Total number of cases, when 5 can come at least once = 11

Probability of 5 will come at least once = ^{Number of favourable outcomes}/_{Number of total possible outcomes} = ^{11}/_{36}

**Which of the following arguments are correct and which are not correct? Give reasons for your answer.**

**(i) If two coins are tossed simultaneously there are three possible outcomes−−two heads, two tails or one of each. Therefore, for each of these outcomes, the probability is 1/3.**

**(ii) If a die is thrown, there are two possible outcomes − an odd number or an even number. Therefore, the probability of getting an odd number is 1/2.**

Solution:

(i) Incorrect When two coins are tossed, the possible outcomes are (H, H), (H, T), (T, H), and (T, T).

It can be observed that there can be one of each in two possible ways − (H, T), (T, H).

Therefore, the probability of getting two heads is 1/4, the probability of getting two tails is 1/4, and the probability of getting one of each is 1/2.

It can be observed that for each outcome, the probability is not 1/3.

(ii) Correct When a dice is thrown, the possible outcomes are 1, 2, 3, 4, 5, and 6.

Out of these, 1, 3, 5 are odd and 2, 4, 6 are even numbers.

Therefore, the probability of getting an odd number is 1/2.

## 1 thought on “Probability – Exercise 15.1 – Class 10”

Comments are closed.