CBSE · NCERT · Class 10 Maths · Chapter 14

NCERT Solutions: Class 10 Maths Chapter 14 - Probability

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Chapter-wise NCERT intext questions and exercise answers for Probability, grounded in the official textbook.

Questions are taken verbatim from the NCERT textbook; answers were grounded against the chapter's content during generation. Items needing review are marked.
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Exercise 14.1 25
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1Exercise 14.125 questions
Q.1Complete 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 an event is called ____. (iii) The probability of an event that is certain to happen is ____. Such an 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 ____.v
Solution

For any event $E$, $P(E)+P(\text{not }E)=1$. An impossible event has probability 0 and a sure event has probability 1. Elementary events exhaust all possible outcomes, so their probabilities add to 1. Therefore every event has probability between 0 and 1 inclusive.

Answer:

(i) $1$
(ii) $0$; an impossible event
(iii) $1$; a sure or certain event
(iv) $1$
(v) $0$ and $1$

Q.2Which 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.v
Solution

(i) The car starting depends on the condition of the car, so the two outcomes are not equally likely. (ii) A shot depends on the player's skill and situation, so shooting and missing are not equally likely. (iii) If a true-false answer is guessed at random, right and wrong are equally likely. (iv) Birth outcomes are not treated as exactly equally likely in real population data, so they need not be equally likely.

Answer:

Only (iii), when the answer is chosen at random, has equally likely outcomes. The others need not have equally likely outcomes.

Q.3Why 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?v
Solution

In a random toss of an unbiased coin, $P(\text{head})=P(\text{tail})=\dfrac12$. Since neither team is favoured when one team is assigned head and the other tail, the method is fair.

Answer:

Because a fair coin has two equally likely outcomes: head and tail.

Q.4Which of the following cannot be the probability of an event?v
  1. A. $\dfrac{2}{3}$
  2. B. $-1.5$
  3. C. $15\%$
  4. D. $0.7$
Solution

The probability of any event must lie between 0 and 1 inclusive. The values $\dfrac23$, $15\% =0.15$, and $0.7$ are all in this interval, but $-1.5$ is negative. Therefore $-1.5$ cannot be a probability.

Answer:

Correct option: (B) $-1.5$.

Q.5If $P(E) = 0.05$, what is the probability of 'not E'?v
Solution

Complementary probabilities add to 1. Thus $P(\text{not }E)=1-P(E)=1-0.05=0.95$.

Answer:

The probability of 'not E' is $0.95$.

Q.6A bag contains lemon flavoured candies only. Malini takes out one candy without looking into the bag. What is the probability that she takes out (i) an orange flavoured candy? (ii) a lemon flavoured candy?v
Solution

There are no orange flavoured candies in the bag, so drawing an orange candy is impossible and has probability 0. Since every candy in the bag is lemon flavoured, drawing a lemon candy is certain and has probability 1.

Answer:

(i) $0$
(ii) $1$

Q.7It 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?v
Solution

The events 'same birthday' and 'not the same birthday' are complementary. Therefore $P(\text{same birthday})=1-0.992=0.008$.

Answer:

The probability is $0.008$.

Q.8A 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?v
Solution

There are $3+5=8$ balls in all. Favourable outcomes for red $=3$, so $P(\text{red})=\dfrac38$. Not red means black, with 5 favourable outcomes, so $P(\text{not red})=\dfrac58$.

Answer:

(i) $\dfrac{3}{8}$
(ii) $\dfrac{5}{8}$

Q.9A 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?v
Solution

Total marbles $=5+8+4=17$. Thus $P(\text{red})=\dfrac5{17}$ and $P(\text{white})=\dfrac8{17}$. Not green means red or white, so favourable outcomes $=5+8=13$, giving $P(\text{not green})=\dfrac{13}{17}$.

Answer:

(i) $\dfrac{5}{17}$
(ii) $\dfrac{8}{17}$
(iii) $\dfrac{13}{17}$

Q.10A piggy bank contains hundred 50p coins, fifty ₹1 coins, twenty ₹2 coins and ten ₹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 ₹5 coin?v
Solution

Total coins $=100+50+20+10=180$. Probability of a 50p coin $=\dfrac{100}{180}=\dfrac59$. Coins that are not ₹5 coins $=180-10=170$, so probability $=\dfrac{170}{180}=\dfrac{17}{18}$.

Answer:

(i) $\dfrac{5}{9}$
(ii) $\dfrac{17}{18}$

Q.11Gopi 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 Fig. 14.4). What is the probability that the fish taken out is a male fish?v
Solution

There are $5+8=13$ fish in all, of which 5 are male. Therefore $P(\text{male fish})=\dfrac5{13}$.

Answer:

The probability is $\dfrac{5}{13}$.

Q.12A 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 Fig. 14.5), 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?v
Solution

There are 8 equally likely outcomes. For 8, there is 1 favourable outcome, so probability $=\dfrac18$. Odd numbers are $1,3,5,7$, so probability $=\dfrac48=\dfrac12$. Numbers greater than 2 are $3,4,5,6,7,8$, so probability $=\dfrac68=\dfrac34$. All numbers $1$ to $8$ are less than 9, so probability $=1$.

Answer:

(i) $\dfrac18$
(ii) $\dfrac12$
(iii) $\dfrac34$
(iv) $1$

Q.13A 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.v
Solution

A die has outcomes $1,2,3,4,5,6$. Prime outcomes are $2,3,5$, so probability $=\dfrac36=\dfrac12$. Numbers lying between 2 and 6 are $3,4,5$, so probability $=\dfrac36=\dfrac12$. Odd outcomes are $1,3,5$, so probability $=\dfrac36=\dfrac12$.

Answer:

(i) $\dfrac12$
(ii) $\dfrac12$
(iii) $\dfrac12$

Q.14One 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 diamondsv
Solution

A deck has 52 cards. There are 2 red kings, so probability $=\dfrac2{52}=\dfrac1{26}$. There are 12 face cards, so $\dfrac{12}{52}=\dfrac3{13}$. There are 6 red face cards, so $\dfrac6{52}=\dfrac3{26}$. There is one jack of hearts and one queen of diamonds, each giving $\dfrac1{52}$. There are 13 spades, so $\dfrac{13}{52}=\dfrac14$.

Answer:

(i) $\dfrac{1}{26}$
(ii) $\dfrac{3}{13}$
(iii) $\dfrac{3}{26}$
(iv) $\dfrac{1}{52}$
(v) $\dfrac14$
(vi) $\dfrac{1}{52}$

Q.15Five cards--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?v
Solution

Initially there are 5 cards and one queen, so $P(\text{queen})=\dfrac15$. If the queen is drawn and put aside, 4 cards remain. One of them is an ace, so $P(\text{ace})=\dfrac14$. No queen remains, so $P(\text{queen})=0$.

Answer:

(i) $\dfrac15$
(ii) (a) $\dfrac14$ (b) $0$

Q.1612 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.v
Solution

Total pens $=12+132=144$. Good pens $=132$. Therefore $P(\text{good pen})=\dfrac{132}{144}=\dfrac{11}{12}$.

Answer:

The probability is $\dfrac{11}{12}$.

Q.17(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 ?v
Solution

(i) There are 4 defective bulbs out of 20, so $P(\text{defective})=\dfrac4{20}=\dfrac15$. (ii) If the first bulb is not defective and is not replaced, then 19 bulbs remain, of which 15 are not defective. Thus the probability is $\dfrac{15}{19}$.

Answer:

(i) $\dfrac15$
(ii) $\dfrac{15}{19}$

Q.18A 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.v
Solution

There are 90 equally likely discs. Two-digit numbers from 10 to 90 give 81 outcomes, so probability $=\dfrac{81}{90}=\dfrac9{10}$. Perfect squares up to 90 are $1,4,9,16,25,36,49,64,81$, giving $\dfrac9{90}=\dfrac1{10}$. Multiples of 5 from 5 to 90 are 18 numbers, so probability $=\dfrac{18}{90}=\dfrac15$.

Answer:

(i) $\dfrac9{10}$
(ii) $\dfrac1{10}$
(iii) $\dfrac15$

Q.19A child has a die whose six faces show 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?v
Solution

The die has 6 faces. The letter A appears on 2 faces, so $P(A)=\dfrac26=\dfrac13$. The letter D appears on 1 face, so $P(D)=\dfrac16$.

Answer:

(i) $\dfrac13$
(ii) $\dfrac16$

Q.20Suppose you drop a die at random on the rectangular region shown in Fig. 14.6. What is the probability that it will land inside the circle with diameter 1 m?v
Solution

The rectangle in Fig. 14.6 measures $3$ m by $2$ m, so its area is $6$ m$^2$. The circle has diameter 1 m, so radius $=0.5$ m and area $=\pi(0.5)^2=\dfrac{\pi}{4}$ m$^2$. Probability $=\dfrac{\text{area of circle}}{\text{area of rectangle}}=\dfrac{\pi/4}{6}=\dfrac{\pi}{24}$.

Answer:

The probability is $\dfrac{\pi}{24}$ (approximately $0.131$).

Q.21A 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 ?v
Solution

Good pens $=144-20=124$. Therefore $P(\text{she will buy})=\dfrac{124}{144}=\dfrac{31}{36}$. Defective pens $=20$, so $P(\text{she will not buy})=\dfrac{20}{144}=\dfrac5{36}$.

Answer:

(i) $\dfrac{31}{36}$
(ii) $\dfrac{5}{36}$

Q.22Refer to Example 13. (i) Complete the following table: Event: 'Sum on 2 dice': 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 Probability: __ (ii) 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 $\dfrac{1}{11}$. Do you agree with this argument? Justify your answer.v
Solution

With two dice there are 36 equally likely ordered outcomes. Sum 2 occurs in 1 way, sum 3 in 2 ways, sum 4 in 3 ways, sum 5 in 4 ways, sum 6 in 5 ways, sum 7 in 6 ways, and then the counts decrease symmetrically to 1 way for sum 12. Hence the probabilities are the counts divided by 36. Since different sums have different numbers of favourable outcomes, assigning each sum probability $\dfrac1{11}$ is wrong.

Answer:

(i) The probabilities for sums $2$ to $12$ are $\dfrac1{36},\dfrac2{36},\dfrac3{36},\dfrac4{36},\dfrac5{36},\dfrac6{36},\dfrac5{36},\dfrac4{36},\dfrac3{36},\dfrac2{36},\dfrac1{36}$.
(ii) No, the argument is not correct because the sums are not equally likely.

Q.23A 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.v
Solution

Three coin tosses have $2^3=8$ equally likely outcomes. Hanif wins only with HHH or TTT, so favourable winning outcomes $=2$. Losing outcomes $=8-2=6$. Therefore $P(\text{lose})=\dfrac68=\dfrac34$.

Answer:

The probability that Hanif will lose is $\dfrac34$.

Q.24A 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]v
Solution

There are $6\times6=36$ equally likely ordered outcomes. For 5 not to come up either time, each throw has 5 choices, so favourable outcomes $=5\times5=25$ and probability $=\dfrac{25}{36}$. The event '5 comes up at least once' is the complement, so probability $=1-\dfrac{25}{36}=\dfrac{11}{36}$.

Answer:

(i) $\dfrac{25}{36}$
(ii) $\dfrac{11}{36}$

Q.25Which 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 $\dfrac13$. (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 $\dfrac12$.v
Solution

(i) The equally likely outcomes for two coins are HH, HT, TH and TT. Two heads has probability $\dfrac14$, two tails has probability $\dfrac14$, and one of each has probability $\dfrac24=\dfrac12$. So the three listed categories are not equally likely. (ii) A die has three odd outcomes $1,3,5$ and three even outcomes $2,4,6$. Thus odd and even are equally likely, and $P(\text{odd})=\dfrac36=\dfrac12$.

Answer:

(i) Not correct.
(ii) Correct.