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NCERT Solutions for Class 10 Maths Chapter 14: Probability — Free PDF

Step-by-step solutions for classical probability problems involving dice, coins, cards, and real-world scenarios.

CBSEClass 10
The SparkEd Authors (IITian & Googler)15 March 202635 min read
NCERT Solutions Class 10 Maths Chapter 14 Probability — SparkEd

Overview of Chapter 14: Probability

Chapter 14 introduces the classical (theoretical) definition of probability and applies it to problems involving dice, coins, playing cards, and real-life situations. This is a highly scoring chapter because the problems follow predictable patterns and the arithmetic is straightforward.

The chapter has 2 exercises covering:
- Exercise 14.1: Classical probability with equally likely outcomes — coins, dice, bags of balls, and number-based problems
- Exercise 14.2: Mixed problems with playing cards, two-dice scenarios, multiple coins, and real-world word problems

This chapter typically carries 4-6 marks in the CBSE board exam. Playing card problems are the most frequently tested, followed by two-dice problems. The key to scoring full marks is systematic listing of outcomes and careful counting. Since every probability problem ultimately reduces to a simple fraction, careless errors in counting are the biggest risk.

Probability connects to the Statistics chapter (Chapter 13) and also lays the foundation for probability theory in Class 11 and 12.

Key Concepts and Formulas

Probability of an event:

P(E)=Number of favourable outcomesTotal number of equally likely outcomesP(E) = \dfrac{\text{Number of favourable outcomes}}{\text{Total number of equally likely outcomes}}

Key properties:
- 0P(E)10 \le P(E) \le 1 for any event EE
- P(sure event)=1P(\text{sure event}) = 1 (event that will definitely happen)
- P(impossible event)=0P(\text{impossible event}) = 0 (event that cannot happen)
- P(E)+P(Eˉ)=1P(E) + P(\bar{E}) = 1 (complementary events)
- P(Eˉ)=1P(E)P(\bar{E}) = 1 - P(E) — this is the complement rule, very useful when counting "not" events is easier than counting favourable events

Common sample spaces:
- One coin: {H,T}\{H, T\}22 outcomes
- Two coins: {HH,HT,TH,TT}\{HH, HT, TH, TT\}44 outcomes
- Three coins: {HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}\{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}88 outcomes
- One die: {1,2,3,4,5,6}\{1, 2, 3, 4, 5, 6\}66 outcomes
- Two dice: All ordered pairs (a,b)(a, b) where a,b{1,2,3,4,5,6}a, b \in \{1,2,3,4,5,6\}3636 outcomes

**Standard deck of 5252 playing cards:**
- 44 suits: Hearts, Diamonds (red), Spades, Clubs (black)
- 1313 cards per suit: A, 2, 3, 4, 5, 6, 7, 8, 9, 10, J, Q, K
- 2626 red cards, 2626 black cards
- 44 Aces, 44 Kings, 44 Queens, 44 Jacks
- Face cards (J, Q, K): 1212 total (Aces are NOT face cards)
- Number cards (2 through 10): 3636 total

Two-dice sum table (for reference):

SumOutcomesCount
22(1,1)(1,1)11
33(1,2),(2,1)(1,2),(2,1)22
44(1,3),(2,2),(3,1)(1,3),(2,2),(3,1)33
55(1,4),(2,3),(3,2),(4,1)(1,4),(2,3),(3,2),(4,1)44
66(1,5),(2,4),(3,3),(4,2),(5,1)(1,5),(2,4),(3,3),(4,2),(5,1)55
77(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)(1,6),(2,5),(3,4),(4,3),(5,2),(6,1)66
88(2,6),(3,5),(4,4),(5,3),(6,2)(2,6),(3,5),(4,4),(5,3),(6,2)55
99(3,6),(4,5),(5,4),(6,3)(3,6),(4,5),(5,4),(6,3)44
1010(4,6),(5,5),(6,4)(4,6),(5,5),(6,4)33
1111(5,6),(6,5)(5,6),(6,5)22
1212(6,6)(6,6)11

Exercise 14.1 — Classical Probability (Solved)

**Problem 1: A bag contains 33 red and 55 black balls. A ball is drawn at random. Find P(red)P(\text{red}) and P(not red)P(\text{not red}).**

Solution:
Total balls =3+5=8= 3 + 5 = 8.

P(red)=38P(\text{red}) = \dfrac{3}{8}

P(not red)=1P(red)=138=58P(\text{not red}) = 1 - P(\text{red}) = 1 - \dfrac{3}{8} = \dfrac{5}{8}

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**Problem 2: A die is thrown once. Find P(prime number)P(\text{prime number}) and P(number between 2 and 6)P(\text{number between 2 and 6}).**

Solution:
Sample space ={1,2,3,4,5,6}= \{1, 2, 3, 4, 5, 6\}, total outcomes =6= 6.

(i) Prime numbers in the sample space ={2,3,5}= \{2, 3, 5\}, favourable outcomes =3= 3.

P(prime)=36=12P(\text{prime}) = \dfrac{3}{6} = \dfrac{1}{2}

(ii) Numbers between 22 and 66 (exclusive) ={3,4,5}= \{3, 4, 5\}, favourable outcomes =3= 3.

P(between 2 and 6)=36=12P(\text{between 2 and 6}) = \dfrac{3}{6} = \dfrac{1}{2}

---

**Problem 3: A box contains 55 red marbles, 88 white, and 44 green. One marble is drawn at random. Find the probability of each colour.**

Solution:
Total marbles =5+8+4=17= 5 + 8 + 4 = 17.

P(red)=517,P(white)=817,P(green)=417P(\text{red}) = \dfrac{5}{17}, \quad P(\text{white}) = \dfrac{8}{17}, \quad P(\text{green}) = \dfrac{4}{17}

Verification: 517+817+417=1717=1\dfrac{5}{17} + \dfrac{8}{17} + \dfrac{4}{17} = \dfrac{17}{17} = 1

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**Problem 4: A bag contains 1212 balls of which xx are white. If 66 more white balls are added, the probability of drawing a white ball doubles. Find xx.**

Solution:
Original probability of white =x12= \dfrac{x}{12}.

After adding 66 white: total =18= 18, white =x+6= x + 6.
New probability =x+618= \dfrac{x+6}{18}.

Given: new probability =2×= 2 \times original probability:

x+618=2×x12=x6\dfrac{x+6}{18} = 2 \times \dfrac{x}{12} = \dfrac{x}{6}

6(x+6)=18x6(x+6) = 18x

6x+36=18x6x + 36 = 18x

12x=36    x=312x = 36 \implies x = 3

Answer: x=3x = 3.

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**Problem 5: A jar contains 2424 marbles — some green and the rest blue. If a marble is drawn at random, P(green)=23P(\text{green}) = \dfrac{2}{3}. How many blue marbles are there?**

Solution:
Number of green marbles =23×24=16= \dfrac{2}{3} \times 24 = 16.

Number of blue marbles =2416=8= 24 - 16 = 8.

Answer: 88 blue marbles.

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Playing Cards Problems (Solved)

**Problem 1: A card is drawn from a well-shuffled deck of 5252 cards. Find P(king)P(\text{king}), P(not a king)P(\text{not a king}), P(face card)P(\text{face card}).**

Solution:
Total cards =52= 52.

(i) Kings =4= 4: P(king)=452=113P(\text{king}) = \dfrac{4}{52} = \dfrac{1}{13}

(ii) P(not king)=1113=1213P(\text{not king}) = 1 - \dfrac{1}{13} = \dfrac{12}{13}

(iii) Face cards (J, Q, K) =12= 12: P(face card)=1252=313P(\text{face card}) = \dfrac{12}{52} = \dfrac{3}{13}

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**Problem 2: Find P(red queen)P(\text{red queen}), P(black card)P(\text{black card}), P(not a jack)P(\text{not a jack}).**

Solution:

(i) Red queens =2= 2 (Queen of Hearts + Queen of Diamonds):

P(red queen)=252=126P(\text{red queen}) = \dfrac{2}{52} = \dfrac{1}{26}

(ii) Black cards (Spades + Clubs) =26= 26:

P(black)=2652=12P(\text{black}) = \dfrac{26}{52} = \dfrac{1}{2}

(iii) Jacks =4= 4:

P(not jack)=1452=4852=1213P(\text{not jack}) = 1 - \dfrac{4}{52} = \dfrac{48}{52} = \dfrac{12}{13}

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Problem 3: Find the probability of getting a card that is neither a king nor a queen.

Solution:
Kings =4= 4, Queens =4= 4, Total kings or queens =8= 8.

P(neither king nor queen)=52852=4452=1113P(\text{neither king nor queen}) = \dfrac{52 - 8}{52} = \dfrac{44}{52} = \dfrac{11}{13}

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**Problem 4: Find P(spade or ace)P(\text{spade or ace}).**

Solution:
Spades =13= 13, Aces =4= 4. But the Ace of Spades is counted in both groups.

Favourable =13+41=16= 13 + 4 - 1 = 16.

P(spade or ace)=1652=413P(\text{spade or ace}) = \dfrac{16}{52} = \dfrac{4}{13}

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**Problem 5: Five cards — the ten, jack, queen, king, and ace of diamonds — are well-shuffled. One card is drawn. Find P(queen)P(\text{queen}) and P(not an ace)P(\text{not an ace}).**

Solution:
Total cards =5= 5.

P(queen)=15P(\text{queen}) = \dfrac{1}{5}

P(not ace)=115=45P(\text{not ace}) = 1 - \dfrac{1}{5} = \dfrac{4}{5}

Dice and Coin Problems (Solved)

**Problem 1: Two dice are thrown simultaneously. Find P(sum=8)P(\text{sum} = 8).**

Solution:
Total outcomes =6×6=36= 6 \times 6 = 36.

Favourable outcomes for sum =8= 8: (2,6),(3,5),(4,4),(5,3),(6,2)(2,6), (3,5), (4,4), (5,3), (6,2) — that is 55 outcomes.

P(sum=8)=536P(\text{sum} = 8) = \dfrac{5}{36}

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**Problem 2: Two dice are thrown. Find P(doublet)P(\text{doublet}) and P(sum>10)P(\text{sum} > 10).**

Solution:

(i) Doublets: (1,1),(2,2),(3,3),(4,4),(5,5),(6,6)(1,1), (2,2), (3,3), (4,4), (5,5), (6,6)66 outcomes.

P(doublet)=636=16P(\text{doublet}) = \dfrac{6}{36} = \dfrac{1}{6}

(ii) Sum >10> 10 means sum =11= 11 or 1212.
Sum =11= 11: (5,6),(6,5)(5,6), (6,5)22 outcomes.
Sum =12= 12: (6,6)(6,6)11 outcome.

P(sum>10)=336=112P(\text{sum} > 10) = \dfrac{3}{36} = \dfrac{1}{12}

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**Problem 3: Three coins are tossed simultaneously. Find P(at least 2 heads)P(\text{at least 2 heads}).**

Solution:
Sample space: {HHH,HHT,HTH,THH,HTT,THT,TTH,TTT}\{HHH, HHT, HTH, THH, HTT, THT, TTH, TTT\}88 outcomes.

At least 22 heads: {HHH,HHT,HTH,THH}\{HHH, HHT, HTH, THH\}44 outcomes.

P(at least 2 heads)=48=12P(\text{at least 2 heads}) = \dfrac{4}{8} = \dfrac{1}{2}

---

**Problem 4: Two dice are thrown. Find P(product of numbers is 12)P(\text{product of numbers is } 12).**

Solution:
Pairs where the product is 1212: (2,6),(3,4),(4,3),(6,2)(2,6), (3,4), (4,3), (6,2)44 outcomes.

P(product=12)=436=19P(\text{product} = 12) = \dfrac{4}{36} = \dfrac{1}{9}

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**Problem 5: A coin is tossed 33 times. Find P(exactly one head)P(\text{exactly one head}).**

Solution:
Total outcomes =8= 8.

Exactly one head: {HTT,THT,TTH}\{HTT, THT, TTH\}33 outcomes.

P(exactly 1 head)=38P(\text{exactly 1 head}) = \dfrac{3}{8}

Worked Examples — Additional Practice

**Example 1: A number is selected at random from the first 2020 natural numbers. Find P(divisible by 3 or 5)P(\text{divisible by 3 or 5}).**

Solution:
Numbers from 11 to 2020.

Divisible by 33: {3,6,9,12,15,18}\{3, 6, 9, 12, 15, 18\}66 numbers.
Divisible by 55: {5,10,15,20}\{5, 10, 15, 20\}44 numbers.
Divisible by both 33 and 55 (i.e., by 1515): {15}\{15\}11 number.

By inclusion-exclusion: 6+41=96 + 4 - 1 = 9.

P(div by 3 or 5)=920P(\text{div by 3 or 5}) = \dfrac{9}{20}

---

**Example 2: A game consists of tossing a coin 33 times and noting the outcomes. Hanif wins if all tosses give the same result. What is his probability of losing?**

Solution:
Total outcomes =8= 8.

All same: {HHH,TTT}\{HHH, TTT\}22 outcomes. P(win)=28=14P(\text{win}) = \dfrac{2}{8} = \dfrac{1}{4}.

P(lose)=114=34P(\text{lose}) = 1 - \dfrac{1}{4} = \dfrac{3}{4}

---

**Example 3: Two dice are thrown. Find P(sum is a perfect square)P(\text{sum is a perfect square}).**

Solution:
Possible sums range from 22 to 1212. Perfect squares in this range: 44 and 99.

Sum =4= 4: (1,3),(2,2),(3,1)(1,3), (2,2), (3,1)33 outcomes.
Sum =9= 9: (3,6),(4,5),(5,4),(6,3)(3,6), (4,5), (5,4), (6,3)44 outcomes.

Total favourable =3+4=7= 3 + 4 = 7.

P(sum is perfect square)=736P(\text{sum is perfect square}) = \dfrac{7}{36}

---

**Example 4: A box contains 9090 discs numbered 11 to 9090. One disc is drawn at random. Find P(two-digit number)P(\text{two-digit number}).**

Solution:
Two-digit numbers from 11 to 9090: 10,11,12,,9010, 11, 12, \ldots, 90 — that is 8181 numbers.

P(two-digit)=8190=910P(\text{two-digit}) = \dfrac{81}{90} = \dfrac{9}{10}

---

**Example 5: Cards numbered 11 to 2020 are put in a box. A card is drawn at random. Find P(prime number)P(\text{prime number}).**

Solution:
Primes from 11 to 2020: {2,3,5,7,11,13,17,19}\{2, 3, 5, 7, 11, 13, 17, 19\}88 primes.

P(prime)=820=25P(\text{prime}) = \dfrac{8}{20} = \dfrac{2}{5}

Common Mistakes to Avoid

**Mistake 1: Forgetting that (3,5)(3, 5) and (5,3)(5, 3) are different outcomes for two dice.**
When two dice are thrown, the order matters. There are 3636 outcomes, not 2121. The outcome (3,5)(3, 5) means die 1 shows 33 and die 2 shows 55, while (5,3)(5, 3) is the reverse. Both must be counted separately.

Mistake 2: Including Aces as face cards.
Aces are NOT face cards. Face cards are only Jacks, Queens, and Kings — 1212 total. If a question asks for the probability of drawing a face card, use 1252\dfrac{12}{52}, not 1652\dfrac{16}{52}.

Mistake 3: Not simplifying the final fraction.
Always reduce fractions to lowest terms. Write 113\dfrac{1}{13} instead of 452\dfrac{4}{52}. CBSE examiners may deduct marks for unsimplified answers.

**Mistake 4: Getting a probability greater than 11.**
If your answer is greater than 11, something is wrong. Probability is always between 00 and 11 (inclusive). Go back and check your counting.

Mistake 5: Double-counting in "or" problems.
When asked for P(A or B)P(A \text{ or } B), if AA and BB can overlap, you must subtract the overlap: favourable =A+BAB= |A| + |B| - |A \cap B|. For example, P(spade or ace)=13+4152P(\text{spade or ace}) = \dfrac{13 + 4 - 1}{52} because the Ace of Spades is both a spade and an ace.

Exam Tips for Probability

1. List all outcomes systematically before counting favourable ones. For two dice, write out all 3636 pairs if needed.
2. For two dice, memorise the sum counts: sum 77 has 66 outcomes (most likely), sums 22 and 1212 have 11 each.
3. For playing cards: 5252 cards, 44 suits, 1313 cards per suit, 1212 face cards, 44 aces. Know this breakdown cold.
4. Always simplify fractions to lowest terms in your final answer.
5. Use the complement rule P(Eˉ)=1P(E)P(\bar{E}) = 1 - P(E) whenever counting "not" events is easier.
6. P(E)=0P(E) = 0 means impossible, P(E)=1P(E) = 1 means certain — probabilities outside [0,1][0, 1] indicate an error.
7. For word problems, clearly define the sample space first, then identify favourable outcomes.
8. In exams, always write the formula first, then substitute values. This earns method marks even if arithmetic goes wrong.

Practice Questions with Answers

Q1. A die is thrown once. Find P(even number)P(\text{even number}) and P(number3)P(\text{number} \geq 3).

Answer: Even numbers: {2,4,6}\{2,4,6\}, so P(even)=36=12P(\text{even}) = \dfrac{3}{6} = \dfrac{1}{2}. Numbers 3\geq 3: {3,4,5,6}\{3,4,5,6\}, so P(3)=46=23P(\geq 3) = \dfrac{4}{6} = \dfrac{2}{3}.

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Q2. A card is drawn from a deck of 5252 cards. Find P(red face card)P(\text{red face card}).

Answer: Red face cards: J, Q, K of hearts and J, Q, K of diamonds =6= 6. P=652=326P = \dfrac{6}{52} = \dfrac{3}{26}.

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Q3. Two dice are thrown. Find P(sum=7)P(\text{sum} = 7).

Answer: Favourable: (1,6),(2,5),(3,4),(4,3),(5,2),(6,1)=6(1,6),(2,5),(3,4),(4,3),(5,2),(6,1) = 6. P=636=16P = \dfrac{6}{36} = \dfrac{1}{6}.

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Q4. A bag contains 44 red, 55 blue, and 33 green balls. Find P(not blue)P(\text{not blue}).

Answer: Total =12= 12. Not blue =4+3=7= 4 + 3 = 7. P(not blue)=712P(\text{not blue}) = \dfrac{7}{12}.

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Q5. Numbers 11 to 1515 are written on slips and put in a box. One slip is drawn. Find P(multiple of 4)P(\text{multiple of 4}).

Answer: Multiples of 44: {4,8,12}=3\{4, 8, 12\} = 3 numbers. P=315=15P = \dfrac{3}{15} = \dfrac{1}{5}.

Key Takeaways

  • Probability of an event =favourable outcomestotal outcomes= \dfrac{\text{favourable outcomes}}{\text{total outcomes}}, and always lies between 00 and 11.
    - The complement rule P(Eˉ)=1P(E)P(\bar{E}) = 1 - P(E) is the most useful shortcut in probability.
    - For two dice, there are always 3636 outcomes. The most likely sum is 77 (with 66 ways).
    - A standard deck has 5252 cards, 1212 face cards (Aces are NOT face cards), 2626 red and 2626 black.
    - For three coins, there are 88 outcomes. For nn coins, there are 2n2^n outcomes.
    - Always list outcomes systematically to avoid miscounting.
    - This is one of the most scoring chapters — with practice, full marks are very achievable.

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