Probability - Exercise 14.1

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Overview

Comprehensive step-by-step NCERT solutions for CBSE Class 10 Maths Exercise 14.1 on Theoretical Probability, featuring complete card decks, dice sums, coin tosses, defective item selections, geometric probabilities, and complementary event reasoning.

NCERT Exercise Practice questions with detailed step-by-step solutions

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Question 1: Fill in the Blanks
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 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 _______.
Answers and Explanations
(i) 1. By definition of complementary events, $P(E) + P(\bar{E}) = 1$.
(ii) 0; impossible event. An event with zero favorable outcomes has probability 0.
(iii) 1; sure or certain event. An event containing all sample outcomes is certain to happen.
(iv) 1. The total probability across all mutually exclusive elementary outcomes always sums to 1.
(v) 0 and 1. For any event $E$, $0 \le P(E) \le 1$.
$$\text{(i) } 1, \quad \text{(ii) } 0\text{ and impossible event}, \quad \text{(iii) } 1\text{ and sure event}, \quad \text{(iv) } 1, \quad \text{(v) } 0\text{ and } 1.$$
Question 2: Equally Likely Outcomes
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. He/she 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.
Analysis
(i) Not equally likely. A car's starting depends on its mechanical health, battery, and fuel. Starting and not starting are not equally probable.
(ii) Not equally likely. Shooting success depends heavily on the player's training, shooting distance, and skill.
(iii) Equally likely. In a true/false trial with no prior bias, guessing leads to two equally probable outcomes: right or wrong ($P = \frac{1}{2}$).
(iv) Equally likely. Biologically and statistically, a newborn is equally likely to be a boy or a girl ($P = \frac{1}{2}$).
$$\text{Experiments (iii) and (iv) have equally likely outcomes.}$$
Question 3: Fair Decision by Coin Toss
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?
Mathematical Reason
When an unbiased coin is tossed, there are exactly two possible outcomes: Head ($H$) and Tail ($T$).
These two outcomes are mutually exclusive and equally likely: $$P(H) = P(T) = \frac{1}{2}$$ The outcome of any individual toss is entirely random and impossible to predict beforehand. Hence, tossing a coin is completely fair and unbiased.
$$\therefore \text{Tossing a coin is fair because both outcomes are equally likely with probability } \frac{1}{2}.$$
Question 4: Valid Probability Range
Which of the following cannot be the probability of an event?
(A) $\dfrac{2}{3}$   (B) $-1.5$   (C) $15\%$   (D) $0.7$
Property of Probability
For any random event $E$, the probability must satisfy: $$0 \le P(E) \le 1$$ Evaluating the given options:
(A) $\frac{2}{3} \approx 0.67$ (Valid)
(B) $-1.5 < 0$ (Invalid; probability cannot be negative)
(C) $15\% = 0.15$ (Valid)
(D) $0.7$ (Valid)
$$\therefore \text{Correct Option is (B): } -1.5.$$
Question 5: Complementary Probability
If $P(E) = 0.08$, what is the probability of 'not $E$'?
Calculation
The probability of the complement event $\bar{E}$ ('not $E$') is given by: $$P(\bar{E}) = 1 - P(E)$$ $$P(\text{not } E) = 1 - 0.08 = 0.92$$
$$\therefore P(\text{not } E) = 0.92.$$
Question 6: Flavoured Candies
A 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?
Analysis
(i) The bag contains 0 orange candies. Drawing an orange candy is an impossible event: $$P(\text{Orange Candy}) = \frac{0}{\text{Total}} = 0$$ (ii) Every candy in the bag is lemon flavoured. Drawing a lemon candy is a sure event: $$P(\text{Lemon Candy}) = \frac{\text{Total}}{\text{Total}} = 1$$
$$\text{(i) } 0, \quad \text{(ii) } 1.$$
Question 7: Birthday Probability
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?
Complementary Event
Let $E$ be the event that 2 students have the same birthday.
Then $\bar{E}$ is the event that they do not have the same birthday.
Given $P(\bar{E}) = 0.992$: $$P(E) = 1 - P(\bar{E}) = 1 - 0.992 = 0.008$$
$$\therefore \text{The probability that the 2 students have the same birthday is } 0.008.$$
Question 8: Red and Black Balls
A bag contains 4 red balls and 6 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?
Step-by-Step Solution
Total number of balls $= 4 + 6 = 10$.
(i) Number of red balls $= 4$: $$P(\text{Red}) = \frac{4}{10} = \frac{2}{5} = 0.4$$ (ii) Probability of not red: $$P(\text{Not Red}) = 1 - P(\text{Red}) = 1 - 0.4 = 0.6 = \frac{3}{5}$$
$$\text{(i) } \frac{2}{5} \text{ (or } 0.4\text{)}, \quad \text{(ii) } \frac{3}{5} \text{ (or } 0.6\text{)}.$$
Question 9: Marbles in a Box
A box contains 6 red marbles, 7 white marbles, and 5 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?
Calculation
Total marbles $= 6 + 7 + 5 = 18$.
(i) Red marbles $= 6 \implies P(\text{Red}) = \frac{6}{18} = \frac{1}{3}$.
(ii) White marbles $= 7 \implies P(\text{White}) = \frac{7}{18}$.
(iii) Not green means either red or white $= 6 + 7 = 13$: $$P(\text{Not Green}) = \frac{13}{18}$$
$$\text{(i) } \frac{1}{3}, \quad \text{(ii) } \frac{7}{18}, \quad \text{(iii) } \frac{13}{18}.$$
Question 10: Coins in a Piggy Bank
A piggy bank contains hundred $50\text{p}$ 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 $50\text{p}$ coin?
(ii) will not be a $₹5$ coin?
Calculation
Total number of coins $= 100 + 50 + 20 + 10 = 180$.
(i) Favourable outcomes for $50\text{p}$ coin $= 100$: $$P(50\text{p}) = \frac{100}{180} = \frac{5}{9}$$ (ii) Number of $₹5$ coins $= 10$. Therefore, coins that are not $₹5 = 180 - 10 = 170$: $$P(\text{Not } ₹5) = \frac{170}{180} = \frac{17}{18}$$
$$\text{(i) } \frac{5}{9}, \quad \text{(ii) } \frac{17}{18}.$$
Question 11: Fish in an Aquarium
Gopi buys a fish from a shop for his aquarium. The shopkeeper takes out one fish at random from a tank containing 6 male fish and 9 female fish. What is the probability that the fish taken out is a male fish?
Calculation
Number of male fish $= 6$.
Number of female fish $= 9$.
Total number of fish in tank $= 6 + 9 = 15$.
$$P(\text{Male Fish}) = \frac{\text{Number of Male Fish}}{\text{Total Fish}} = \frac{6}{15} = \frac{2}{5} = 0.4$$
$$\therefore P(\text{Male Fish}) = \frac{2}{5} \text{ (or } 0.4\text{)}.$$
Question 12: Spinning Arrow
A game of chance consists of spinning an arrow which comes to rest pointing at one of the numbers $1, 2, 3, 4, 5, 6, 7, 8$, and these are equally likely outcomes. What is the probability that it will point at:
(i) $5$?
(ii) an even number?
(iii) a number greater than $3$?
(iv) a number less than $9$?
Calculation
Total possible outcomes $= 8$ (numbers $\{1, 2, 3, 4, 5, 6, 7, 8\}$).
(i) Number 5 appears once $\implies P(5) = \frac{1}{8}$.
(ii) Even numbers: $\{2, 4, 6, 8\}$ (4 numbers) $\implies P(\text{Even}) = \frac{4}{8} = \frac{1}{2}$.
(iii) Numbers greater than 3: $\{4, 5, 6, 7, 8\}$ (5 numbers) $\implies P(>3) = \frac{5}{8}$.
(iv) Numbers less than 9: all 8 numbers $\implies P(<9) = \frac{8}{8} = 1$.
$$\text{(i) } \frac{1}{8}, \quad \text{(ii) } \frac{1}{2}, \quad \text{(iii) } \frac{5}{8}, \quad \text{(iv) } 1.$$
Question 13: Single Die Throw
A die is thrown once. Find the probability of getting:
(i) a prime number
(ii) a number lying between $2$ and $5$
(iii) an odd number
Sample Space & Calculation
Sample space $S = \{1, 2, 3, 4, 5, 6\}$, Total outcomes $= 6$.
(i) Prime numbers in $S = \{2, 3, 5\}$ (3 outcomes): $$P(\text{Prime}) = \frac{3}{6} = \frac{1}{2}$$ (ii) Numbers strictly between 2 and 5 $= \{3, 4\}$ (2 outcomes): $$P(\text{Between 2 and 5}) = \frac{2}{6} = \frac{1}{3}$$ (iii) Odd numbers in $S = \{1, 3, 5\}$ (3 outcomes): $$P(\text{Odd}) = \frac{3}{6} = \frac{1}{2}$$
$$\text{(i) } \frac{1}{2}, \quad \text{(ii) } \frac{1}{3}, \quad \text{(iii) } \frac{1}{2}.$$
Question 14: Deck of 52 Cards
One card is drawn from a well-shuffled deck of 52 playing cards. Find the probability of getting:
(i) a queen of black colour
(ii) a face card
(iii) a red face card
(iv) the jack of spades
Breakdown of 52 Cards
Total cards $n(S) = 52$.
(i) Black queens: Queen of Spades and Queen of Clubs (2 cards): $$P(\text{Black Queen}) = \frac{2}{52} = \frac{1}{26}$$ (ii) Face cards: 4 Jacks, 4 Queens, 4 Kings (12 cards): $$P(\text{Face Card}) = \frac{12}{52} = \frac{3}{13}$$ (iii) Red face cards: Hearts and Diamonds (6 cards: 2 Jacks, 2 Queens, 2 Kings): $$P(\text{Red Face Card}) = \frac{6}{52} = \frac{3}{26}$$ (iv) Jack of Spades: Exactly 1 card: $$P(\text{Jack of Spades}) = \frac{1}{52}$$
$$\text{(i) } \frac{1}{26}, \quad \text{(ii) } \frac{3}{13}, \quad \text{(iii) } \frac{3}{26}, \quad \text{(iv) } \frac{1}{52}.$$
Question 15: 5 Specific Cards
Five 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?
Step-by-Step Calculation
(i) Total cards $= 5$ (10, J, Q, K, A of diamonds). Number of queens $= 1$: $$P(\text{Queen}) = \frac{1}{5}$$ (ii) The queen is drawn and placed aside. Remaining cards $= 5 - 1 = 4$ (Ten, Jack, King, Ace).
(a) Number of aces $= 1$: $$P(\text{Ace}) = \frac{1}{4}$$ (b) Number of queens in the remaining 4 cards $= 0$: $$P(\text{Queen}) = \frac{0}{4} = 0$$
$$\text{(i) } \frac{1}{5}, \quad \text{(ii)(a) } \frac{1}{4}, \quad \text{(ii)(b) } 0.$$
Question 16: Defective Mixed Pens
10 defective pens are accidentally mixed with 140 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.
Calculation
Defective pens $= 10$
Good pens $= 140$
Total number of pens in the lot $= 10 + 140 = 150$
$$P(\text{Good Pen}) = \frac{\text{Number of Good Pens}}{\text{Total Pens}} = \frac{140}{150} = \frac{14}{15}$$
$$\therefore P(\text{Good Pen}) = \frac{14}{15}.$$
Question 17: Defective Bulbs (Without Replacement)
(i) A lot of $50\text{ bulbs}$ contains $5\text{ defective}$ 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?
Step-by-Step Solution
(i) Total bulbs $= 50$. Defective bulbs $= 5$: $$P(\text{Defective}) = \frac{5}{50} = \frac{1}{10} = 0.1$$ (ii) A non-defective bulb is drawn and not replaced.
New total number of bulbs $= 50 - 1 = 49$.
Initial non-defective bulbs $= 50 - 5 = 45$.
Remaining non-defective bulbs $= 45 - 1 = 44$.
$$P(\text{Not Defective}) = \frac{44}{49}$$
$$\text{(i) } \frac{1}{10} \text{ (or } 0.1\text{)}, \quad \text{(ii) } \frac{44}{49}.$$
Question 18: Cards Numbered 1 to 100
A box contains 100 cards which are numbered from 1 to 100. If one card 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 7
Calculation
Total cards in box $= 100$.
(i) Two-digit numbers run from $10$ to $99$ inclusive: $$\text{Count} = 99 - 10 + 1 = 90$$ $$P(\text{Two-Digit}) = \frac{90}{100} = \frac{9}{10} = 0.9$$ (ii) Perfect squares from $1$ to $100$: $\{1, 4, 9, 16, 25, 36, 49, 64, 81, 100\}$ (10 numbers): $$P(\text{Perfect Square}) = \frac{10}{100} = \frac{1}{10} = 0.1$$ (iii) Numbers divisible by 7: $7 \times 1, 7 \times 2, \dots, 7 \times 14 = 98$ (14 numbers): $$P(\text{Divisible by 7}) = \frac{14}{100} = \frac{7}{50} = 0.14$$
$$\text{(i) } \frac{9}{10} \text{ (or } 0.9\text{)}, \quad \text{(ii) } \frac{1}{10} \text{ (or } 0.1\text{)}, \quad \text{(iii) } \frac{7}{50}.$$
Question 19: Die with Lettered Faces
A child has a die whose six faces show the letters as given below:
P, Q, R, S, T, P
The die is thrown once. What is the probability of getting:
(i) P?
(ii) T?
Calculation
Total faces $= 6$.
(i) The letter 'P' appears on 2 faces: $$P(\text{P}) = \frac{2}{6} = \frac{1}{3}$$ (ii) The letter 'T' appears on 1 face: $$P(\text{T}) = \frac{1}{6}$$
$$\text{(i) } \frac{1}{3}, \quad \text{(ii) } \frac{1}{6}.$$
Question 20: Geometric Probability
Suppose you drop a coin at random on a rectangular region of length $4\text{ m}$ and width $3\text{ m}$. What is the probability that it will land inside a circle with diameter $1.4\text{ m}$ drawn inside the rectangle?
Rectangle: 4m × 3m d = 1.4m
Area Ratios
Total area of rectangular region: $$\text{Area of Rectangle} = 4 \times 3 = 12\text{ m}^2$$ Diameter of circle $= 1.4\text{ m} \implies$ Radius $r = 0.7\text{ m}$.
$$\text{Area of Circle} = \pi r^2 = \frac{22}{7} \times (0.7)^2 = \frac{22}{7} \times 0.49 = 22 \times 0.07 = 1.54\text{ m}^2$$ $$P(\text{Inside Circle}) = \frac{\text{Area of Circle}}{\text{Total Area}} = \frac{1.54}{12} = \frac{154}{1200} = \frac{77}{600} \approx 0.128$$
$$\therefore \text{The probability of landing inside the circle is } \frac{77}{600} \approx 0.128.$$
Question 21: Purchasing Ball Pens
A lot consists of 200 ball pens of which 25 are defective and the others are good. Rohit 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 him. What is the probability that:
(i) He will buy it?
(ii) He will not buy it?
Calculation
Total pens $= 200$.
Defective pens $= 25$.
Good pens $= 200 - 25 = 175$.
(i) Rohit buys the pen if it is good: $$P(\text{Buys}) = \frac{175}{200} = \frac{7}{8} = 0.875$$ (ii) Rohit does not buy if it is defective: $$P(\text{Does not buy}) = \frac{25}{200} = \frac{1}{8} = 0.125$$
$$\text{(i) } \frac{7}{8} \text{ (or } 0.875\text{)}, \quad \text{(ii) } \frac{1}{8} \text{ (or } 0.125\text{)}.$$
Question 22: Sum of Two Dice
Two dice are thrown at the same time:
(i) Find the probability that the sum of the two numbers appearing on top is 10.
(ii) Find the probability that the sum is less than or equal to 5.
Two Dice Sample Space
Total possible outcomes when two dice are rolled $= 6 \times 6 = 36$.
(i) Outcomes giving a sum of 10: $$\{(4, 6), (5, 5), (6, 4)\} \implies 3 \text{ outcomes}$$ $$P(\text{Sum } = 10) = \frac{3}{36} = \frac{1}{12}$$ (ii) Outcomes giving a sum $\le 5$: $$\text{Sum 2: } (1, 1)$$ $$\text{Sum 3: } (1, 2), (2, 1)$$ $$\text{Sum 4: } (1, 3), (2, 2), (3, 1)$$ $$\text{Sum 5: } (1, 4), (2, 3), (3, 2), (4, 1)$$ Total favourable outcomes $= 1 + 2 + 3 + 4 = 10$ outcomes.
$$P(\text{Sum } \le 5) = \frac{10}{36} = \frac{5}{18}$$
$$\text{(i) } \frac{1}{12}, \quad \text{(ii) } \frac{5}{18}.$$
Question 23: Three Coins Toss Game
A game consists of tossing a coin 3 times. A player wins if all the tosses give the same result (i.e., three heads or three tails), and loses otherwise. Calculate the probability that the player will lose the game.
Sample Space
Total possible outcomes $= 2^3 = 8$: $$S = \{\text{HHH, HHT, HTH, HTT, THH, THT, TTH, TTT}\}$$ Winning outcomes (all same) $= \{\text{HHH, TTT}\} \implies 2 \text{ outcomes}$.
Losing outcomes (not all same) $= 8 - 2 = 6$ outcomes: $$P(\text{Lose}) = \frac{6}{8} = \frac{3}{4} = 0.75$$
$$\therefore P(\text{Losing the Game}) = \frac{3}{4} \text{ (or } 0.75\text{)}.$$
Question 24: Die Thrown Twice
A die is thrown twice. What is the probability that:
(i) 4 will not come up either time?
(ii) 4 will come up at least once?
Calculation
Throwing a die twice has $6 \times 6 = 36$ possible outcomes.
Outcomes where 4 comes up at least once: $$\text{4 on 1st die: } (4, 1), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6) \quad (6 \text{ pairs})$$ $$\text{4 on 2nd die: } (1, 4), (2, 4), (3, 4), (5, 4), (6, 4) \quad (5 \text{ pairs})$$ Total outcomes with 4 at least once $= 6 + 5 = 11$.
(ii) $P(\text{4 at least once}) = \frac{11}{36}$.
(i) By complement rule, 4 does not come up either time: $$P(\text{4 not either time}) = 1 - P(\text{4 at least once}) = 1 - \frac{11}{36} = \frac{25}{36}$$
$$\text{(i) } \frac{25}{36}, \quad \text{(ii) } \frac{11}{36}.$$
Question 25: Correctness of Arguments
Which of the following arguments are correct? Give reasons.
(i) If two coins are tossed, there are three possible outcomes: two heads, two tails, or one of each. Therefore, probability of each is $\frac{1}{3}$.
(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 $\frac{1}{2}$.
Analysis
(i) Incorrect. When two coins are tossed, the sample space is: $$S = \{\text{HH, HT, TH, TT}\} \implies 4 \text{ equally likely outcomes}$$ "Two heads" $= \{\text{HH}\}$ has $P = \frac{1}{4}$.
"Two tails" $= \{\text{TT}\}$ has $P = \frac{1}{4}$.
"One of each" $= \{\text{HT, TH}\}$ has $P = \frac{2}{4} = \frac{1}{2}$.
The outcomes are not equally likely, so the probability is not $\frac{1}{3}$.

(ii) Correct. When a fair die is rolled, the six elementary outcomes $\{1, 2, 3, 4, 5, 6\}$ are equally likely.
Odd numbers $= \{1, 3, 5\}$ (3 outcomes).
Even numbers $= \{2, 4, 6\}$ (3 outcomes).
Since both sets have 3 equally likely outcomes: $$P(\text{Odd}) = \frac{3}{6} = \frac{1}{2}$$
$$\text{(i) is Incorrect; (ii) is Correct.}$$
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