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Chapter 14 of 16
NCERT Solutions

Probability

Madhya Pradesh Board · Class 10 · Mathematics

NCERT Solutions for Probability — Madhya Pradesh Board Class 10 Mathematics.

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A Venn diagram showing a sample space (S) and an event (A), with the region outside A but within S shaded to represent the complementary event (A').
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EXERCISE 14.1

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 ______.
Show solution
(i) 1

(ii) 0; such an event is called an impossible event.

(iii) 1; such an event is called a sure event or certain event.

(iv) 1

(v) greater than or equal to 0 and less than or equal to 1.

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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.
Show solution
None of these experiments is guaranteed in the chapter to have equally likely outcomes.

- (i) A car may or may not start; these outcomes are not necessarily equally likely.
- (ii) A basketball player may score or miss; these are not equally likely in general.
- (iii) A true-false question has right or wrong as outcomes, but they are not necessarily equally likely.
- (iv) A baby being a boy or a girl is not treated here as equally likely for probability calculations.

So, none of the four experiments has equally likely outcomes in the sense required for the theoretical probability used in this chapter.

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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?Show solution
Tossing a coin is considered fair because the coin is assumed to be unbiased and the toss is random. So the two outcomes, head and tail, are equally likely. Therefore, neither team has an advantage, and the result is fair.

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4Which of the following cannot be the probability of an event?
(A) 23\frac{2}{3} (B) -1.5 (C) 15% (D) 0.7
Show solution
The probability of an event must satisfy 0P(E)10 \le P(E) \le 1.

- 23\frac{2}{3} is valid.
- **1.5-1.5** is not valid because probability cannot be negative.
- 15%=0.1515\% = 0.15 is valid.
- 0.70.7 is valid.

So the value that cannot be a probability is -1.5.

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5If P(E) = 0.05, what is the probability of 'not E'?Show solution
For complementary events,
P(not E)=1P(E) P(\text{not }E)=1-P(E)
Given P(E)=0.05P(E)=0.05,
P(not E)=10.05=0.95 P(\text{not }E)=1-0.05=0.95

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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?
Show solution
The bag contains only lemon-flavoured candies.

(i) An orange flavoured candy cannot be taken out, so the probability is
0 0

(ii) A lemon flavoured candy is certain to be taken out, so the probability is
1 1

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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?Show solution
If the probability that the 2 students do not have the same birthday is 0.9920.992, then the probability that they have the same birthday is the complement:
10.992=0.008 1-0.992=0.008

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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?Show solution
Total balls =3+5=8=3+5=8.

(i) Probability of red:
P(red)=38 P(\text{red})=\frac{3}{8}

(ii) Probability of not red means probability of a black ball:
P(not red)=58 P(\text{not red})=\frac{5}{8}

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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?Show solution
Total marbles =5+8+4=17=5+8+4=17.

(i) Red marbles =5=5,
P(red)=517 P(\text{red})=\frac{5}{17}

(ii) White marbles =8=8,
P(white)=817 P(\text{white})=\frac{8}{17}

(iii) Not green means red or white, so favourable marbles =5+8=13=5+8=13,
P(not green)=1317 P(\text{not green})=\frac{13}{17}

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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?Show solution
Total coins =100+50+20+10=180=100+50+20+10=180.

(i) Probability of a 50 p coin:
100180=59 \frac{100}{180}=\frac{5}{9}
(ii) Probability of not a ₹5 coin:
18010180=170180=1718 \frac{180-10}{180}=\frac{170}{180}=\frac{17}{18}

So the computed answers are **59\frac{5}{9} and 1718\frac{17}{18}**. These are not among the printed options because the book does not give options for this numerical question.

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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?Show solution
Total fish =5+8=13=5+8=13.

Favourable outcomes for a male fish =5=5.

So,
P(male fish)=513 P(\text{male fish})=\frac{5}{13}

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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?
Show solution
There are 8 equally likely outcomes: 1,2,3,4,5,6,7,81,2,3,4,5,6,7,8.

(i) Pointing at 8: favourable outcomes =1=1,
P=18 P=\frac{1}{8}

(ii) Pointing at an odd number: 1,3,5,71,3,5,7 so favourable outcomes =4=4,
P=48=12 P=\frac{4}{8}=\frac{1}{2}

(iii) Pointing at a number greater than 2: 3,4,5,6,7,83,4,5,6,7,8 so favourable outcomes =6=6,
P=68=34 P=\frac{6}{8}=\frac{3}{4}

(iv) Pointing at a number less than 9: all 8 outcomes are favourable,
P=88=1 P=\frac{8}{8}=1

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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.
Show solution
A die has outcomes 1,2,3,4,5,61,2,3,4,5,6.

(i) Prime numbers are 2,3,52,3,5 so favourable outcomes =3=3:
P=36=12 P=\frac{3}{6}=\frac{1}{2}

(ii) Numbers lying between 2 and 6 are 3,4,53,4,5 so favourable outcomes =3=3:
P=36=12 P=\frac{3}{6}=\frac{1}{2}

(iii) Odd numbers are 1,3,51,3,5 so favourable outcomes =3=3:
P=36=12 P=\frac{3}{6}=\frac{1}{2}

These are the standard answers from the chapter context. If strictly following the chapter’s examples, the result for each is 12\frac{1}{2}, and that is the computed value.

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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 diamonds
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?
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.
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 ?
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.
19A child has a die whose six faces show the letters as given below:

The die is thrown once. What is the probability of getting (i) A? (ii) D?
20*.Suppose 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 1m?
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?
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 | 136\frac{1}{36} | | | | | | 536\frac{5}{36} | | | | 136\frac{1}{36} |

(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 111\frac{1}{11}. Do you agree with this argument? Justify your answer.
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.
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]
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 13\frac{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 12\frac{1}{2}.

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Frequently Asked Questions

What are the important topics in Probability for Madhya Pradesh Board Class 10 Mathematics?
Probability covers several key topics that are frequently asked in Madhya Pradesh Board Class 10 board exams. Focus on the core concepts listed on this page and practise related questions to build confidence.
How to score full marks in Probability — Madhya Pradesh Board Class 10 Mathematics?
Understand the core concepts first, then work through the 129 practice questions available for this chapter. Revise formulas and definitions regularly, and use flashcards for quick recall before the exam.
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