Contents / विषय-सूची (9)
  1. 1. Core Concepts & Formulas 1. खास Concepts और Formulas
  2. 2. Interactive Probability Lab & Live Simulator 2. Interactive Probability Lab और Live Simulator
  3. 3. In-Text Proofs & Conceptual Foundations 3. In-Text Proofs और खास idea
  4. 4. Exercise Set 7.1 (NCERT pp. 158–159) 4. Exercise Set 7.1 (NCERT pp. 158–159)
  5. 5. Exercise Set 7.2 (NCERT pp. 165–166) 5. Exercise Set 7.2 (NCERT pp. 165–166)
  6. 6. Exercise Set 7.3 (NCERT pp. 167–168) 6. Exercise Set 7.3 (NCERT pp. 167–168)
  7. 7. Exercise Set 7.4 — Tree Diagrams (NCERT p. 169) 7. Exercise Set 7.4 — Tree Diagrams (NCERT p. 169)
  8. 8. End-of-Chapter Exercises (NCERT pp. 169–173) 8. End-of-Chapter Exercises (NCERT pp. 169–173)
  9. 9. CBSE Board Examination Questions (PYQs) 9. CBSE Board परीक्षा प्रश्न (PYQs)
RK Institute · Class 9 Mathematics

Chapter 07: The Mathematics of Maybe — Introduction to Probability

Empirical and Classical Probability, Sample Spaces, Events, Tree Diagrams and Law of Large Numbers
NCERT Class 9 Mathematics (Ganita Manjari) · Chapter 07 · pp. 155–173

Chapter 07: The Mathematics of Maybe — Probability की शुरुआत

Empirical और Classical Probability, Sample Spaces, Events, Tree Diagrams और बड़ी संख्याओं का rule
NCERT Class 9 Mathematics (Ganita Manjari) · Chapter 07 · pp. 155–173

1. Core Concepts & Formulas 1. खास Concepts और Formulas

Section Goal: Understand how uncertainty is quantified mathematically from 0 (impossible) to 1 (certain), how experimental relative frequency converges to theoretical probability, and how to construct rigorous sample spaces and tree diagrams.
Section Goal: समझें कि अfixedता को 0 (impossible) से 1 (certain) के पैमाने पर गणितीय रूप से कैसे मापा जाता है, experimental probability कैसे theoretical probability के करीब आती है, और sample space और tree diagrams कैसे बनाए जाते हैं।

1. The Probability Scale

$$0 \le P(E) \le 1$$

• $P(E) = 0$: Impossible Event
• $P(E) = 0.5$: Even Chance (Fair)
• $P(E) = 1$: Certain (Sure) Event

2. Theoretical (Classical) Probability

$$P(E) = \frac{n(E)}{n(S)} = \frac{\text{Favourable Outcomes}}{\text{Total Possible Outcomes}}$$

Applies when all elementary outcomes are strictly equally likely (Laplace's classical model).

3. Empirical (Experimental) Probability

$$P_{\text{exp}}(E) = \frac{\text{Number of trials where } E \text{ occurred}}{\text{Total number of trials } N}$$

Based on observed experimental data. As $N \to \infty$, $P_{\text{exp}}(E) \to P(E)$ (Law of Large Numbers).

4. Complementary Event Rule

$$P(E') = 1 - P(E) \iff P(E) + P(E') = 1$$

$E'$ (or $\bar{E}$ or $E^c$) represents the event that $E$ does not occur.

5. Sample Space & Events

$$S = \{e_1, e_2, \dots, e_n\}, \quad E \subseteq S$$

• 1 Coin: $S = \{H, T\}$ ($n=2$)
• 2 Coins: $S = \{HH, HT, TH, TT\}$ ($n=4$)
• 1 Die: $S = \{1, 2, 3, 4, 5, 6\}$ ($n=6$)

6. 2D Geometric Probability

$$P(E) = \frac{\text{Area of Target Region}}{\text{Total Area of Bounding Space}}$$

Applies when a point or projectile lands randomly and uniformly across a 2D geometric boundary.

2. Interactive Probability Lab & Live Simulator 2. Interactive Probability Lab और Live Simulator

🎲 Live Empirical Convergence Simulator

Law of Large Numbers Visualizer
0
Total Trials (N)
0.000
Outcome #1 Rel. Freq
0.500
Theoretical $P(E)$
0.00%
Empirical Error

3. In-Text Proofs & Conceptual Foundations 3. In-Text Proofs और खास idea

Think & Reflect · p.156 What is randomness? Compare predicting the outcome of a fair coin toss with predicting the sunrise tomorrow. [NCERT p.156] Think & Reflect · p.156 Randomness क्या है? Fair coin toss के outcomes और कल sunrise के estimate की तुलना करें। [NCERT p.156]
1. Deterministic vs Random Processes Sunrise is governed by celestial mechanics and the Earth's constant rotational period; its outcome is deterministic ($P = 1$, certain event). In contrast, flipping a coin is sensitive to initial finger impulse, air resistance, and landing surface friction, making the individual outcome unpredictable in practice.
2. Mathematical Definition of Randomness An experiment is random if: (i) all possible outcomes are known in advance, but (ii) the exact outcome of a specific trial cannot be determined beforehand.
🎯 Final Answer: A process is random when individual trials are unpredictable despite known sample spaces, whereas deterministic events have fixed predictable outcomes.
1. Deterministic बनाम Random sunrise एक fixed घटना (certain event, $P = 1$) है जो Earth की motion पर based है। जबकि coin toss में हवा और उछाल के कारण outcomes पहले से तय नहीं किया जा सकता।
2. Randomness की definition यदि experiment के सभी possible outcomes पता हों लेकिन किसी particular प्रयास का outcomes पहले से न बताया जा सके, तो वह random experiment कहलाता है।
🎯 final answer: Randomness का मतलब व्यक्तिगत प्रयासों की अfixedता है, जबकि deterministic प्रक्रियाएं पूर्णतः fixed होती हैं।
Think & Reflect · p.163 Explain the Gambler's Fallacy. If a fair 6-sided die rolls a '6' three times in a row, what is the probability that the fourth roll is a '6'? [NCERT p.163] Think & Reflect · p.163 Gambler's Fallacy समझाएं। यदि एक निष्पक्ष 6-sided die पर लगातार तीन बार '6' आता है, तो चौथे roll में '6' आने की probability क्या होगी? [NCERT p.163]
1. Independence of Trials A fair die has no physical memory of previous rolls. Each roll is an independent event with identical sample space $S = \{1, 2, 3, 4, 5, 6\}$.
2. Probability Calculation The theoretical probability of rolling a '6' on the 4th roll is strictly: $$P(6) = \frac{1}{6} \approx 0.167 \text{ (or } 16.7\%)$$
3. The Fallacy Defined Believing that a past streak of 6s makes a future 6 "less likely" or "overdue" is the Gambler's Fallacy. The Law of Large Numbers operates through dilution over thousands of trials, not by self-correcting immediate rolls.
🎯 Final Answer: Probability remains exactly $\mathbf{\frac{1}{6}}$ (unaffected by previous outcomes).
1. Independent Trials Die का पिछला outcomes अगले roll को प्रभावित नहीं करता। हर roll एक independent event है।
2. Probability मान चौथे roll में '6' आने की probability strictly $P(6) = \mathbf{\frac{1}{6}}$ ही रहेगी।
3. Gambler's Fallacy यह सोचना कि लगातार 6 आने के बाद अब 6 नहीं आएगा, एक भ्रम (Gambler's Fallacy) है।
🎯 final answer: Probability unchanged रहकर $\mathbf{\frac{1}{6}}$ ही रहती है।
Think & Reflect · p.167 Why is the sample space $\{\text{Rain}, \text{No Rain}\}$ NOT equally likely, whereas the sample space $\{H, T\}$ for a fair coin IS equally likely? [NCERT p.167] Think & Reflect · p.167 Sample space $\{\text{Rain}, \text{No Rain}\}$ समान रूप से संभावित (equally likely) क्यों नहीं है, जबकि fair coin का $\{H, T\}$ equally likely होता है? [NCERT p.167]
1. Symmetry in Fair Coin A fair coin is manufactured with physical geometric and mass symmetry, making the physics of heads and tails balanced $\implies P(H) = P(T) = \frac{1}{2}$.
2. Meteorological Conditions in Rain Rainfall depends on complex atmospheric variables (humidity, pressure, seasonal monsoon patterns). In a desert in May, $P(\text{Rain}) \approx 0.01$, whereas in Cherrapunji in July, $P(\text{Rain}) \approx 0.90$. Therefore, $\{\text{Rain}, \text{No Rain}\}$ outcomes are not equally likely.
🎯 Final Answer: Classical formula $P(E) = \frac{n(E)}{n(S)}$ applies only when outcomes are physically or logically equally likely.
1. Coin की Symmetry निष्पक्ष coin दोनों तरफ से physical रूप से संतुलित होता है, इसलिए $P(H) = P(T) = \frac{1}{2}$ equally likely है।
2. मौसम की position वर्षा वायुमंडलीय दबाव और आर्द्रता पर depend करती है। दोनों outcomes समान रूप से संभावित नहीं होते।
🎯 final answer: Classical formula केवल equally likely outcomes के लिए ही apply होता है।
Think & Reflect · p.169 Explain how a Tree Diagram visualises multi-stage experiments and verifies the Fundamental Counting Principle. [NCERT p.169] Think & Reflect · p.169 समझाएं कि Tree Diagram बहु-चरणीय experimentों को कैसे दर्शाता है और Fundamental Counting Principle को कैसे प्रमाणित करता है। [NCERT p.169]
1. Branching Structure In a multi-stage experiment with $k$ stages having $n_1, n_2, \dots, n_k$ possible outcomes at each stage, each path from the root to a leaf represents a unique compound outcome in sample space $S$.
2. Total Sample Space Size By the multiplication rule: $$n(S) = n_1 \times n_2 \times \dots \times n_k$$ For example, tossing 2 coins yields $2 \times 2 = 4$ branches: $\{HH, HT, TH, TT\}$.
🎯 Final Answer: Tree diagrams map every distinct compound pathway, ensuring exhaustiveness and mutual exclusivity.
1. Branching structure हर branch एक fixed चरण के outcomes को दर्शाती है और root से leaf तक का मार्ग एक compound outcome बनाता है।
2. गुणन rule कुल outcomesों की संख्या $n(S) = n_1 \times n_2 \times \dots \times n_k$ होती है।
🎯 final answer: Tree diagram सभी compound outcomes को systematic रूप से प्रस्तुत करता है।

4. Exercise Set 7.1 (NCERT pp. 158–159) 4. Exercise Set 7.1 (NCERT pp. 158–159)

Ex 7.1 · Q1 Rank the following events on a scale from 0 (Impossible) to 1 (Certain): (i) Picking a card with a number between 2 and 10 from a standard deck, (ii) Rolling an 8 on a fair 6-sided die, (iii) Tossing a coin and getting heads, (iv) The sun rising in the east tomorrow, (v) Rolling a number less than 7 on a fair 6-sided die. [NCERT p.159] Ex 7.1 · Q1 निम्नलिखित घटनाओं को 0 (Impossible) से 1 (Certain) के पैमाने पर रखें: (i) ताश की गड्डी से 2 से 10 के बीच का पत्ता निकालना, (ii) 6-sided die पर 8 आना, (iii) Coin toss पर heads आना, (iv) कल पूर्व में sunrise होना, (v) 6-sided die पर 7 से छोटी संख्या आना। [NCERT p.159]
1. Event Analysis • (ii) Rolling an 8 on a 6-sided die: Faces are only $\{1, 2, 3, 4, 5, 6\} \implies P = \mathbf{0\text{ (Impossible)}}$.
• (iii) Tossing heads on fair coin: $P = \mathbf{0.5\text{ (Even chance)}}$.
• (i) Picking a numbered card 2 to 10: 9 ranks $\times$ 4 suits $= 36$ cards out of $52 \implies P = \frac{36}{52} = \frac{9}{13} \approx \mathbf{0.692\text{ (Likely)}}$.
• (iv) Sun rising in east tomorrow: Universal physical law $\implies P = \mathbf{1.0\text{ (Certain)}}$.
• (v) Rolling a number $< 7$ on a die: All 6 faces $\{1, 2, 3, 4, 5, 6\} < 7 \implies P = \frac{6}{6} = \mathbf{1.0\text{ (Certain)}}$.
🎯 Final Answer: Ranking from least to most likely: (ii) $0$ < (iii) $0.5$ < (i) $0.692$ < (iv) & (v) $1.0$.
1. मान विश्लेषण (ii) 8 आना $\implies P = \mathbf{0}$, (iii) Heads आना $\implies P = \mathbf{0.5}$, (i) 2 से 10 कार्ड $\implies P = \frac{36}{52} \approx \mathbf{0.692}$, (iv) पूर्व में sunrise $\implies P = \mathbf{1.0}$, (v) 7 से छोटी संख्या $\implies P = \mathbf{1.0}$।
🎯 final answer: order: (ii) $0$ < (iii) $0.5$ < (i) $0.692$ < (iv), (v) $1.0$।

5. Exercise Set 7.2 (NCERT pp. 165–166) 5. Exercise Set 7.2 (NCERT pp. 165–166)

Ex 7.2 · Q1 A teacher mixes a large bag of sweets of different colours and gives 50 students one sweet each at random. 15 students get red sweets, 20 get green, 10 get yellow, and 5 get blue. Find the experimental probability of getting: (i) a red sweet, (ii) a green sweet, (iii) a yellow or blue sweet. [NCERT p.165] Ex 7.2 · Q1 एक शिक्षक अलग-अलग रंगों की मिठाइयों के बैग से 50 students को एक-एक sweets देते हैं। 15 को लाल, 20 को हरी, 10 को पीली और 5 को नीली sweets मिलती है। Experimental probability find करें: (i) लाल sweets, (ii) हरी sweets, (iii) पीली या नीली sweets। [NCERT p.165]
1. Total Trials $N = 50$.
2. Probabilities • (i) $P(\text{Red}) = \frac{15}{50} = \frac{3}{10} = \mathbf{0.30\text{ (or } 30\%)}$.
• (ii) $P(\text{Green}) = \frac{20}{50} = \frac{2}{5} = \mathbf{0.40\text{ (or } 40\%)}$.
• (iii) $P(\text{Yellow or Blue}) = \frac{10 + 5}{50} = \frac{15}{50} = \frac{3}{10} = \mathbf{0.30\text{ (or } 30\%)}$.
🎯 Final Answer: (i) $\mathbf{0.30}$, (ii) $\mathbf{0.40}$, (iii) $\mathbf{0.30}$.
1. कुल प्रयास $N = 50$।
2. calculation (i) $P(\text{Red}) = \frac{15}{50} = \mathbf{0.30}$, (ii) $P(\text{Green}) = \frac{20}{50} = \mathbf{0.40}$, (iii) $P(\text{Yellow/Blue}) = \frac{15}{50} = \mathbf{0.30}$।
🎯 final answer: (i) $\mathbf{0.30}$, (ii) $\mathbf{0.40}$, (iii) $\mathbf{0.30}$।
Ex 7.2 · Q2 A survey is conducted at a school where a random sample of 40 students is asked about their favourite sport. 18 chose cricket, 12 chose football, 6 chose badminton, and 4 chose basketball. (i) Estimate the probability that a randomly selected student prefers cricket. (ii) If the school has 600 students, estimate how many prefer football. [NCERT p.165] Ex 7.2 · Q2 40 students के survey में 18 क्रिकेट, 12 फुटबॉल, 6 बैडमिंटन और 4 बास्केटबॉल चुनते हैं। (i) क्रिकेट पसंद करने की estimated probability find करें। (ii) यदि स्कूल में 600 छात्र हैं, तो फुटबॉल पसंद करने वाले students की estimateित संख्या बताएं। [NCERT p.165]
1. Part (i) Cricket Probability $$P(\text{Cricket}) = \frac{18}{40} = \frac{9}{20} = \mathbf{0.45\text{ (or } 45\%)}$$
2. Part (ii) Football Population Projection $$P(\text{Football}) = \frac{12}{40} = 0.30 \implies \text{Expected Footballers} = 0.30 \times 600 = \mathbf{180\text{ students}}$$
🎯 Final Answer: (i) $\mathbf{0.45}$, (ii) $\mathbf{180\text{ students}}$.
1. भाग (i) Cricket $P(\text{Cricket}) = \frac{18}{40} = \mathbf{0.45}$।
2. भाग (ii) Football Projection $P(\text{Football}) = \frac{12}{40} = 0.30 \implies \text{students की संख्या} = 0.30 \times 600 = \mathbf{180}$।
🎯 final answer: (i) $\mathbf{0.45}$, (ii) $\mathbf{180\text{ छात्र}}$।
Ex 7.2 · Q4 Toss a paper cup into the air 50 times and observe whether it lands bottom-down, top-down, or on its side (Figure 7.5). If it lands on its side 38 times, bottom-down 8 times, and top-down 4 times, find the experimental probability for each orientation. Why can theoretical probability not be easily computed here? [NCERT p.165] Ex 7.2 · Q4 एक paper cup को 50 बार हवा में उछालने पर यदि वह 38 बार side पर, 8 बार bottom पर और 4 बार top पर गिरता है, तो हर position की experimental probability find करें। यहां theoretical probability आसानी से क्यों नहीं निकाली जा सकती? [NCERT p.165]
1. Experimental Probabilities • $P(\text{Side}) = \frac{38}{50} = \mathbf{0.76}$
• $P(\text{Bottom}) = \frac{8}{50} = \mathbf{0.16}$
• $P(\text{Top}) = \frac{4}{50} = \mathbf{0.08}$
2. Why Theoretical Fails A paper cup is an asymmetric 3D object with non-uniform mass distribution, open rim aerodynamics, and unequal contact surfaces. Outcomes are not equally likely, requiring empirical observation rather than classical geometric symmetry.
🎯 Final Answer: Side: $\mathbf{0.76}$, Bottom: $\mathbf{0.16}$, Top: $\mathbf{0.08}$. Theoretical calculation is impractical due to geometric asymmetry.
1. Experimental calculation Side: $\frac{38}{50} = \mathbf{0.76}$, Bottom: $\frac{8}{50} = \mathbf{0.16}$, Top: $\frac{4}{50} = \mathbf{0.08}$।
2. Theoretical calculation का कारण Paper cup की आकृति asymmetric होने के कारण outcomes equally likely नहीं होते।
🎯 final answer: Side: $\mathbf{0.76}$, Bottom: $\mathbf{0.16}$, Top: $\mathbf{0.08}$।
Ex 7.2 · Q6 Suppose you roll a 6-sided die 12 times and get a '3' three times. (i) What is the experimental probability of getting a '3'? (ii) What is the theoretical probability of getting a '3'? (iii) Explain why they differ and how they can be brought closer. [NCERT p.166] Ex 7.2 · Q6 एक 6-sided die को 12 बार फेंकने पर 3 बार '3' आता है। (i) '3' आने की experimental probability क्या है? (ii) Theoretical probability क्या है? (iii) दोनों में अंतर क्यों है और इन्हें पास कैसे लाया जा सकता है? [NCERT p.166]
1. Experimental vs Theoretical • (i) $P_{\text{exp}}(3) = \frac{3}{12} = \frac{1}{4} = \mathbf{0.25}$.
• (ii) $P_{\text{theo}}(3) = \frac{1}{6} \approx \mathbf{0.167}$.
2. Explanation & Law of Large Numbers In a small sample ($N=12$), random statistical fluctuations dominate. By increasing the number of trials to $N = 1000$ or $10000$, the Law of Large Numbers ensures $P_{\text{exp}}(3)$ converges tightly to $\frac{1}{6}$.
🎯 Final Answer: Experimental $= \mathbf{0.25}$, Theoretical $= \mathbf{0.167}$. Increasing trials to hundreds or thousands eliminates sample variation.
1. दोनों का मान (i) $P_{\text{exp}}(3) = \frac{3}{12} = \mathbf{0.25}$, (ii) $P_{\text{theo}}(3) = \frac{1}{6} \approx \mathbf{0.167}$।
2. अंतर का कारण 12 का sample size बहुत छोटा है। जब rolls की संख्या $1000$ या $10000$ की जाएगी तो empirical probability theoretical मान $\frac{1}{6}$ के करीब पहुंच जाएगी।
🎯 final answer: Experimental: $\mathbf{0.25}$, Theoretical: $\mathbf{0.167}$।

6. Exercise Set 7.3 (NCERT pp. 167–168) 6. Exercise Set 7.3 (NCERT pp. 167–168)

Ex 7.3 · Q1 When a single 6-sided die is rolled, what is the total number of outcomes? List the outcomes in the event: (i) 'A prime number is rolled', (ii) 'An even number greater than 2 is rolled'. [NCERT p.167] Ex 7.3 · Q1 एक 6-sided die फेंकने पर कुल कितने outcomes होते हैं? निम्नलिखित events के outcomes लिखें: (i) 'Prime number आना', (ii) '2 से बड़ा even number आना'। [NCERT p.167]
1. Sample Space $S = \{1, 2, 3, 4, 5, 6\} \implies n(S) = \mathbf{6}$.
2. Event Lists • (i) Prime numbers: $E_1 = \{2, 3, 5\} \implies n(E_1) = 3 \implies P(E_1) = \frac{3}{6} = \mathbf{\frac{1}{2}}$.
• (ii) Even number $> 2$: $E_2 = \{4, 6\} \implies n(E_2) = 2 \implies P(E_2) = \frac{2}{6} = \mathbf{\frac{1}{3}}$.
🎯 Final Answer: $n(S) = 6$; (i) $\{2, 3, 5\}$ ($P = \mathbf{\frac{1}{2}}$), (ii) $\{4, 6\}$ ($P = \mathbf{\frac{1}{3}}$).
1. Sample Space $S = \{1, 2, 3, 4, 5, 6\} \implies n(S) = \mathbf{6}$।
2. Events (i) Prime numbers: $\{2, 3, 5\}$ ($P = \mathbf{\frac{1}{2}}$), (ii) Even $> 2$: $\{4, 6\}$ ($P = \mathbf{\frac{1}{3}}$)।
🎯 final answer: (i) $\{2, 3, 5\}$, (ii) $\{4, 6\}$।
Ex 7.3 · Q2 Write down the sample space $S$ and its size $n(S)$ for the following experiments: (i) Rolling a die and tossing a coin together, (ii) Choosing a random integer between $-5$ and $+5$ (inclusive). [NCERT pp. 167–168] Ex 7.3 · Q2 निम्नलिखित experimentों के लिए sample space $S$ और उसका size $n(S)$ लिखें: (i) Die और coin को एक साथ उछालना, (ii) $-5$ से $+5$ के बीच पूर्णांक चुनना। [NCERT pp. 167–168]
1. Part (i) Die + Coin $$S = \{(1,H), (1,T), (2,H), (2,T), (3,H), (3,T), (4,H), (4,T), (5,H), (5,T), (6,H), (6,T)\}$$ $$n(S) = 6 \times 2 = \mathbf{12}$$
2. Part (ii) Integers $-5$ to $+5$ $$S = \{-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5\}$$ $$n(S) = 5 - (-5) + 1 = \mathbf{11}$$
🎯 Final Answer: (i) $n(S) = \mathbf{12}$, (ii) $n(S) = \mathbf{11}$.
1. भाग (i) Die + Coin $S$ में 12 जोड़े हैं $\implies n(S) = \mathbf{12}$।
2. भाग (ii) Integers $S = \{-5, \dots, +5\} \implies n(S) = \mathbf{11}$।
🎯 final answer: (i) $n(S) = \mathbf{12}$, (ii) $n(S) = \mathbf{11}$।
Ex 7.3 · Q3 A family has 3 children. Assuming boys ($B$) and girls ($G$) are equally likely, write the sample space $S$. Find the probability that the family has: (i) Exactly 2 girls, (ii) At least 1 boy. [NCERT p.168] Ex 7.3 · Q3 एक परिवार में 3 बच्चे हैं। मान लें कि लड़का ($B$) और लड़की ($G$) समान रूप से संभावित हैं। Sample space $S$ लिखें और probability find करें: (i) ठीक 2 लड़कियां, (ii) कम से कम 1 लड़का। [NCERT p.168]
1. Sample Space $$S = \{BBB, BBG, BGB, BGG, GBB, GBG, GGB, GGG\} \implies n(S) = 2^3 = \mathbf{8}$$
2. Part (i) Exactly 2 Girls $E_1 = \{BGG, GBG, GGB\} \implies n(E_1) = 3 \implies P(E_1) = \mathbf{\frac{3}{8}}$.
3. Part (ii) At Least 1 Boy Complementary event is $GGG$ (0 boys): $$P(\text{At least 1 boy}) = 1 - P(GGG) = 1 - \frac{1}{8} = \mathbf{\frac{7}{8}}$$
🎯 Final Answer: $n(S) = 8$; (i) $\mathbf{\frac{3}{8}}$, (ii) $\mathbf{\frac{7}{8}}$.
1. Sample Space $S$ में कुल $n(S) = 2^3 = \mathbf{8}$ outcomes हैं।
2. भाग (i) 2 लड़कियां $E_1 = \{BGG, GBG, GGB\} \implies P = \mathbf{\frac{3}{8}}$।
3. भाग (ii) कम से कम 1 लड़का $P = 1 - P(GGG) = 1 - \frac{1}{8} = \mathbf{\frac{7}{8}}$।
🎯 final answer: (i) $\mathbf{\frac{3}{8}}$, (ii) $\mathbf{\frac{7}{8}}$।

7. Exercise Set 7.4 — Tree Diagrams (NCERT p. 169) 7. Exercise Set 7.4 — Tree Diagrams (NCERT p. 169)

Ex 7.4 · Q1 Basket A has 1 apple ($A_1$) and 2 oranges ($O_1, O_2$). Basket B has 2 apples ($A_2, A_3$) and 1 banana ($B_1$). One fruit is picked at random from Basket A and one from Basket B. (i) Draw a tree diagram showing all possible pairs. (ii) List the sample space. (iii) What is the probability of picking one apple and one banana? [NCERT p.169] Ex 7.4 · Q1 basket A में 1 सेब ($A_1$) और 2 संतरे ($O_1, O_2$) हैं। basket B में 2 सेब ($A_2, A_3$) और 1 केला ($B_1$) है। दोनों टोकरियों से एक-एक फल निकाला जाता है। (i) Tree diagram बनाएं। (ii) Sample space लिखें। (iii) एक सेब और एक केला आने की probability find करें। [NCERT p.169]
1. Tree Diagram Structure • From Basket A: 3 branches ($A_1, O_1, O_2$).
• From Basket B: Each branch splits into 3 sub-branches ($A_2, A_3, B_1$).
• Total leaves $= 3 \times 3 = \mathbf{9\text{ outcomes}}$.
2. Sample Space $S$ $$S = \{(A_1, A_2), (A_1, A_3), (A_1, B_1), (O_1, A_2), (O_1, A_3), (O_1, B_1), (O_2, A_2), (O_2, A_3), (O_2, B_1)\}$$
3. Part (iii) 1 Apple & 1 Banana The favourable pair is $(A_1, B_1)$ only $\implies n(E) = 1 \implies P = \mathbf{\frac{1}{9}}$.
🎯 Final Answer: $n(S) = 9$; $P(\text{1 Apple and 1 Banana}) = \mathbf{\frac{1}{9}}$.
1. Tree Diagram basket A की 3 शाखाएं basket B की 3 शाखाओं से मिलकर कुल $3 \times 3 = \mathbf{9}$ outcomes बनाती हैं।
2. Sample Space $S$ में कुल 9 जोड़े हैं।
3. Apple & Banana अनुकूल outcomes केवल $(A_1, B_1)$ है $\implies P = \mathbf{\frac{1}{9}}$।
🎯 final answer: $n(S) = 9$, $P = \mathbf{\frac{1}{9}}$।
Ex 7.4 · Q2 A box contains 3 red pens ($R$), 4 black pens ($B$), and 2 green pens ($G$). You pick a pen at random, record its colour, and put it back (with replacement). Then your friend picks a pen. (i) Draw a tree diagram. (ii) Find the probability that both of you pick pens of the same colour. [NCERT p.169] Ex 7.4 · Q2 एक डिब्बे में 3 लाल ($R$), 4 काले ($B$) और 2 हरे ($G$) pens हैं। आप एक pens निकालते हैं, रंग देखकर वापस रख देते हैं। फिर आपका मित्र एक pens निकालता है। (i) Tree diagram बनाएं। (ii) दोनों के समान रंग का pens चुनने की probability find करें। [NCERT p.169]
1. Single Draw Probabilities Total pens $= 3 + 4 + 2 = 9$. $$P(R) = \frac{3}{9} = \frac{1}{3}, \quad P(B) = \frac{4}{9}, \quad P(G) = \frac{2}{9}$$
2. Same Colour Compound Events Since draws are independent (with replacement): $$P(\text{Both Red}) = \frac{3}{9} \times \frac{3}{9} = \frac{9}{81}$$ $$P(\text{Both Black}) = \frac{4}{9} \times \frac{4}{9} = \frac{16}{81}$$ $$P(\text{Both Green}) = \frac{2}{9} \times \frac{2}{9} = \frac{4}{81}$$
3. Total Same Colour Probability $$P(\text{Same Colour}) = \frac{9 + 16 + 4}{81} = \mathbf{\frac{29}{81} \approx 0.358}$$
🎯 Final Answer: Probability of both picking the same colour $= \mathbf{\frac{29}{81} \approx 0.358}$.
1. एकल probability कुल pens $= 9$ हैं $\implies P(R) = \frac{3}{9}, P(B) = \frac{4}{9}, P(G) = \frac{2}{9}$।
2. समान रंग के जोड़े $P(RR) = \frac{9}{81}, P(BB) = \frac{16}{81}, P(GG) = \frac{4}{81}$।
3. कुल Probability $P = \frac{9+16+4}{81} = \mathbf{\frac{29}{81}}$।
🎯 final answer: समान रंग की probability $= \mathbf{\frac{29}{81}}$ है।

8. End-of-Chapter Exercises (NCERT pp. 169–173) 8. End-of-Chapter Exercises (NCERT pp. 169–173)

End Ex · Q1 Fill in the blanks: (i) The probability of an impossible event is _______, (ii) The set of all possible outcomes of a random experiment is called the _______, (iii) The probability of an event that is certain to happen is _______, (iv) Tossing a fair coin has a probability of _______ for getting heads. [NCERT pp. 169–170] End Ex · Q1 रिक्त स्थान भरें: (i) Impossible event की probability _______ होती है, (ii) Random experiment के सभी possible outcomesों का समुच्चय _______ कहलाता है, (iii) Certain event की probability _______ होती है, (iv) Fair coin toss पर heads आने की probability _______ होती है। [NCERT pp. 169–170]
1. Fundamental Definitions • (i) Impossible event: $\mathbf{0}$
• (ii) Set of all outcomes: Sample Space ($S$)
• (iii) Certain event: $\mathbf{1}$
• (iv) Heads on fair coin: $\mathbf{\frac{1}{2}\text{ (or } 0.5)}$
🎯 Final Answer: (i) 0, (ii) Sample Space, (iii) 1, (iv) $\frac{1}{2}$.
1. answer (i) 0, (ii) Sample Space ($S$), (iii) 1, (iv) $\frac{1}{2}$।
🎯 final answer: (i) 0, (ii) Sample Space, (iii) 1, (iv) $\frac{1}{2}$।
End Ex · Q2 & Q3 (i) In a survey of 50 students, 15 said they liked football. The frequency is 15 and relative frequency is _______. (ii) Which experiments have equally likely outcomes: Starting a car, Tossing a fair coin, Rolling a fair die, Drawing a marble from 3 red & 7 blue marbles, A newborn baby is boy or girl? [NCERT p.170] End Ex · Q2 & Q3 (i) 50 students में से 15 फुटबॉल पसंद करते हैं। Relative frequency _______ होगी। (ii) कौन से experiment equally likely हैं: कार स्टार्ट करना, Coin toss, Die roll, 3 लाल व 7 नीली गोलियों में से निकालना, नवजात शिशु लड़का या लड़की होना? [NCERT p.170]
1. Q2 Relative Frequency $\text{Relative Frequency} = \frac{15}{50} = \mathbf{0.30\text{ (or } \frac{3}{10})}$.
2. Q3 Equally Likely Analysis • (i) Car starts: Not equally likely (depends on mechanical condition).
• (ii) Fair coin toss: Equally likely ($P(H) = P(T) = 0.5$).
• (iii) Fair 6-sided die: Equally likely (each face $P = 1/6$).
• (iv) 3 red & 7 blue marbles: Not equally likely ($P(R) = 0.3, P(B) = 0.7$).
• (v) Newborn baby boy/girl: Equally likely ($P(B) = P(G) = 0.5$).
🎯 Final Answer: Q2: $\mathbf{0.30}$; Q3 Equally likely: (ii), (iii), and (v).
1. Q2 Relative Frequency $\text{Relative Frequency} = \frac{15}{50} = \mathbf{0.30}$।
2. Q3 विश्लेषण (ii) Fair coin, (iii) Fair die, और (v) Baby boy/girl equally likely हैं।
🎯 final answer: Q2: $\mathbf{0.30}$; Q3: (ii), (iii), और (v)।
End Ex · Q4 Calculate the probabilities: (i) Two coins tossed: $P(\text{at least 1 head})$, (ii) Card numbered 1 to 10: $P(\text{even number})$, (iii) Die rolled: $P(\text{number } > 4)$, (iv) Bag of 3 red, 2 blue, 1 green: $P(\text{not red})$, (v) Three coins tossed: $P(\text{exactly 2 heads})$. [NCERT p.170] End Ex · Q4 Probability find करें: (i) 2 coins: $P(\text{कम से कम 1 head})$, (ii) 1 से 10 कार्ड: $P(\text{even number})$, (iii) Die: $P(\text{संख्या } > 4)$, (iv) 3 लाल, 2 नीली, 1 हरी: $P(\text{लाल नहीं})$, (v) 3 coins: $P(\text{ठीक 2 heads})$। [NCERT p.170]
1. Calculations (i) to (iii) • (i) $S = \{HH, HT, TH, TT\}$, at least 1 head $= \{HH, HT, TH\} \implies P = \mathbf{\frac{3}{4}}$.
• (ii) Even in $\{1..10\} = \{2, 4, 6, 8, 10\} \implies P = \frac{5}{10} = \mathbf{\frac{1}{2}}$.
• (iii) Number $> 4$ on die $= \{5, 6\} \implies P = \frac{2}{6} = \mathbf{\frac{1}{3}}$.
2. Calculations (iv) to (v) • (iv) Total balls $= 6$; Not red $= 2 + 1 = 3 \implies P = \frac{3}{6} = \mathbf{\frac{1}{2}}$.
• (v) Exactly 2 heads in 3 coins $= \{HHT, HTH, THH\} \implies P = \mathbf{\frac{3}{8}}$.
🎯 Final Answer: (i) $\mathbf{\frac{3}{4}}$, (ii) $\mathbf{\frac{1}{2}}$, (iii) $\mathbf{\frac{1}{3}}$, (iv) $\mathbf{\frac{1}{2}}$, (v) $\mathbf{\frac{3}{8}}$.
1. भाग (i) से (iii) (i) $\mathbf{\frac{3}{4}}$, (ii) $\mathbf{\frac{1}{2}}$, (iii) $\mathbf{\frac{1}{3}}$।
2. भाग (iv) से (v) (iv) $\mathbf{\frac{1}{2}}$, (v) $\mathbf{\frac{3}{8}}$।
🎯 final answer: (i) $\frac{3}{4}$, (ii) $\frac{1}{2}$, (iii) $\frac{1}{3}$, (iv) $\frac{1}{2}$, (v) $\frac{3}{8}$।
End Ex · Q6 A child has 2 shirts (red $R$, blue $B$) and 3 types of pants (jeans $J$, khakis $K$, shorts $S$). List all possible combinations in a table format and find $n(S)$. [NCERT p.171] End Ex · Q6 एक बच्चे के पास 2 शर्ट (लाल $R$, नीली $B$) और 3 पैंट (जीन्स $J$, खाकी $K$, शॉर्ट्स $S$) हैं। सभी possible संयोजनों की तालिका बनाएं और $n(S)$ find करें। [NCERT p.171]
1. Combination Matrix • Red Shirt: $(R, J), (R, K), (R, S)$ (3 outfits)
• Blue Shirt: $(B, J), (B, K), (B, S)$ (3 outfits)
2. Total Sample Space Size $$n(S) = 2 \text{ shirts} \times 3 \text{ pants} = \mathbf{6\text{ possible outfits}}$$
🎯 Final Answer: $n(S) = \mathbf{6\text{ distinct outfits}}$.
1. तालिका लाल शर्ट के 3 संयोजन और नीली शर्ट के 3 संयोजन बनते हैं।
2. कुल संयोजन $n(S) = 2 \times 3 = \mathbf{6}$।
🎯 final answer: कुल $n(S) = \mathbf{6}$ संयोजन बनते हैं।
End Ex · Q7 A tyre company records distances before replacement in 1000 cases: <4000 km (20), 4001–9000 km (210), 9001–14000 km (325), >14000 km (445). Find the probability that a tyre lasts: (i) <4000 km, (ii) between 4000 and 14000 km, (iii) >14000 km. [NCERT p.171] End Ex · Q7 टायर कंपनी के 1000 मामलों में दूरी: <4000 km (20), 4001–9000 km (210), 9001–14000 km (325), >14000 km (445)। Probability find करें: (i) <4000 km, (ii) 4000 से 14000 km, (iii) >14000 km। [NCERT p.171]
1. Probabilities ($N=1000$) • (i) $P(< 4000) = \frac{20}{1000} = \mathbf{0.02}$
• (ii) $P(4000\text{ to }14000) = \frac{210 + 325}{1000} = \frac{535}{1000} = \mathbf{0.535}$
• (iii) $P(> 14000) = \frac{445}{1000} = \mathbf{0.445}$
🎯 Final Answer: (i) $\mathbf{0.02}$, (ii) $\mathbf{0.535}$, (iii) $\mathbf{0.445}$.
1. calculation (i) $\frac{20}{1000} = \mathbf{0.02}$, (ii) $\frac{535}{1000} = \mathbf{0.535}$, (iii) $\frac{445}{1000} = \mathbf{0.445}$।
🎯 final answer: (i) $\mathbf{0.02}$, (ii) $\mathbf{0.535}$, (iii) $\mathbf{0.445}$।
End Ex · Q8 The letters of the word 'PEACE' are placed on cards. Leela draws a card without looking. (i) What is the probability that it is P, E, or C? (ii) What is the probability that it is NOT an E? [NCERT p.171] End Ex · Q8 शब्द 'PEACE' के अक्षर कार्डों पर लिखे हैं। लीला एक कार्ड निकालती है। (i) P, E या C आने की probability क्या है? (ii) E न आने की probability क्या है? [NCERT p.171]
1. Sample Space Letters are $\{P, E_1, A, C, E_2\} \implies n(S) = 5$.
2. Part (i) P, E, or C Favourable letters are $\{P, E_1, C, E_2\}$ (4 letters) $\implies P = \mathbf{\frac{4}{5} = 0.8}$.
3. Part (ii) Not an E Favourable letters are $\{P, A, C\}$ (3 letters) $\implies P = \mathbf{\frac{3}{5} = 0.6}$.
🎯 Final Answer: (i) $\mathbf{\frac{4}{5} = 0.8}$, (ii) $\mathbf{\frac{3}{5} = 0.6}$.
1. Sample Space $n(S) = 5$ अक्षर हैं।
2. calculation (i) $\{P, E, C, E\} \implies P = \mathbf{\frac{4}{5}}$, (ii) $\{P, A, C\} \implies P = \mathbf{\frac{3}{5}}$।
🎯 final answer: (i) $\mathbf{\frac{4}{5}}$, (ii) $\mathbf{\frac{3}{5}}$।
End Ex · Q9 A spinning arrow comes to rest pointing at one of the numbers $1, 2, 3, 4, 5, 6, 7, 8$ with equal likelihood (Figure 7.7). Find the probability that it points at: (i) 8, (ii) an odd number, (iii) a number greater than 2, (iv) a number less than 9, (v) a multiple of 3. [NCERT p.171] End Ex · Q9 एक घूमने वाला तीर 1 से 8 तक के किसी एक अंक पर रुकता है (Figure 7.7)। Probability find करें कि यह रुकेगा: (i) 8 पर, (ii) विषम संख्या पर, (iii) 2 से बड़ी संख्या पर, (iv) 9 से छोटी संख्या पर, (v) 3 के गुणज पर। [NCERT p.171]
1. Sample Space $S = \{1, 2, 3, 4, 5, 6, 7, 8\} \implies n(S) = 8$.
2. Calculations (i) to (v) • (i) Point at 8: $\{8\} \implies P = \mathbf{\frac{1}{8}}$.
• (ii) Odd number: $\{1, 3, 5, 7\} \implies P = \frac{4}{8} = \mathbf{\frac{1}{2}}$.
• (iii) Number $> 2$: $\{3, 4, 5, 6, 7, 8\} \implies P = \frac{6}{8} = \mathbf{\frac{3}{4}}$.
• (iv) Number $< 9$: All 8 numbers $\implies P = \frac{8}{8} = \mathbf{1\text{ (Certain)}}$.
• (v) Multiple of 3: $\{3, 6\} \implies P = \frac{2}{8} = \mathbf{\frac{1}{4}}$.
🎯 Final Answer: (i) $\mathbf{\frac{1}{8}}$, (ii) $\mathbf{\frac{1}{2}}$, (iii) $\mathbf{\frac{3}{4}}$, (iv) $\mathbf{1}$, (v) $\mathbf{\frac{1}{4}}$.
1. Sample Space $n(S) = 8$।
2. calculation (i) $\mathbf{\frac{1}{8}}$, (ii) $\mathbf{\frac{1}{2}}$, (iii) $\mathbf{\frac{3}{4}}$, (iv) $\mathbf{1}$, (v) $\mathbf{\frac{1}{4}}$।
🎯 final answer: (i) $\frac{1}{8}$, (ii) $\frac{1}{2}$, (iii) $\frac{3}{4}$, (iv) $1$, (v) $\frac{1}{4}$।
End Ex · Q10 A basket contains 4 red balls and 5 blue balls. One ball is drawn and laid aside (without replacement), and a second ball is drawn. Draw a tree diagram and find: (i) $P(\text{Red then Blue})$, (ii) $P(\text{Both Blue})$. [NCERT pp. 171–172] End Ex · Q10 एक basket में 4 लाल और 5 नीली गेंदें हैं। एक गेंद निकालकर अलग रख दी जाती है (without replacement), फिर दूसरी गेंद निकाली जाती है। Tree diagram बनाकर find करें: (i) $P(\text{Red then Blue})$, (ii) $P(\text{Both Blue})$। [NCERT pp. 171–172]
1. Multi-Stage Probabilities • Total initially $= 9$. Draw 1: $P(R) = \frac{4}{9}, P(B) = \frac{5}{9}$.
• Draw 2 after Red: 8 balls remain (3 R, 5 B) $\implies P(B|R) = \frac{5}{8}$.
• Draw 2 after Blue: 8 balls remain (4 R, 4 B) $\implies P(B|B) = \frac{4}{8} = \frac{1}{2}$.
2. Path Probabilities • (i) $P(R \text{ then } B) = \frac{4}{9} \times \frac{5}{8} = \frac{20}{72} = \mathbf{\frac{5}{18} \approx 0.278}$.
• (ii) $P(B \text{ and } B) = \frac{5}{9} \times \frac{4}{8} = \frac{20}{72} = \mathbf{\frac{5}{18} \approx 0.278}$.
🎯 Final Answer: (i) $\mathbf{\frac{5}{18}}$, (ii) $\mathbf{\frac{5}{18}}$.
1. Tree Diagram मान पहली गेंद के बाद 8 गेंदें बचती हैं।
2. calculation (i) $P(RB) = \frac{4}{9} \times \frac{5}{8} = \mathbf{\frac{5}{18}}$, (ii) $P(BB) = \frac{5}{9} \times \frac{4}{8} = \mathbf{\frac{5}{18}}$।
🎯 final answer: (i) $\mathbf{\frac{5}{18}}$, (ii) $\mathbf{\frac{5}{18}}$।
End Ex · Q11 & Q12 (i) When throwing a pair of dice, give an impossible event ($P=0$) and a sure event ($P=1$). (ii) Find the probability that the sum of numbers on two rolled dice is a prime number greater than 5. [NCERT p.172] End Ex · Q11 & Q12 (i) दो पासे फेंकने पर impossible event ($P=0$) और sure event ($P=1$) का example दें। (ii) दो पासों के योगफल के 5 से बड़े prime number होने की probability find करें। [NCERT p.172]
1. Q11 Impossible and Sure Events • Impossible ($P=0$): 'Getting a sum of 13' (Max sum is $6+6=12$).
• Sure event ($P=1$): 'Getting a sum between 2 and 12 inclusive'.
2. Q12 Prime Sum $> 5$ Total pairs $n(S) = 36$. Primes $> 5$ up to 12 are $7$ and $11$: • Sum $= 7$: $\{(1,6), (2,5), (3,4), (4,3), (5,2), (6,1)\}$ (6 pairs)
• Sum $= 11$: $\{(5,6), (6,5)\}$ (2 pairs)
• Total favourable $= 6 + 2 = 8 \implies P = \frac{8}{36} = \mathbf{\frac{2}{9} \approx 0.222}$.
🎯 Final Answer: Q11: Impossible = 'Sum 13', Sure = 'Sum $\le 12$'; Q12: $P = \mathbf{\frac{2}{9}}$.
1. Q11 example Impossible: 'योग 13 आना' ($P=0$), Sure: 'योग 12 या उससे कम होना' ($P=1$)।
2. Q12 calculation Prime sum $> 5$ के लिए $7$ और $11$ के कुल 8 अनुकूल outcomes हैं $\implies P = \frac{8}{36} = \mathbf{\frac{2}{9}}$।
🎯 final answer: Q11: Sum 13 ($P=0$), Sum $\le 12$ ($P=1$); Q12: $\mathbf{\frac{2}{9}}$।
End Ex · Q13 & Q14 (i) Compare sample space sizes for drawing 2 balls from $\{1, 2, 3, 4\}$ with replacement vs without replacement. (ii) List the sample space for simultaneously tossing a coin and drawing a card from $\{1, 2, 3, 4, 5, 6\}$. [NCERT p.172] End Ex · Q13 & Q14 (i) $\{1, 2, 3, 4\}$ से 2 गेंदें निकालने पर with replacement और without replacement के sample space sizes की तुलना करें। (ii) Coin toss और 1 से 6 कार्ड निकालने का sample space लिखें। [NCERT p.172]
1. Q13 Sample Space Sizes • With replacement: $4 \times 4 = \mathbf{16\text{ pairs}}$ (e.g. $(1,1), (1,2), \dots$)
• Without replacement: $4 \times 3 = \mathbf{12\text{ pairs}}$ (diagonal pairs $(k,k)$ excluded).
2. Q14 Coin + Card $S$ $$S = \{(H,1), (H,2), (H,3), (H,4), (H,5), (H,6), (T,1), (T,2), (T,3), (T,4), (T,5), (T,6)\} \implies n(S) = \mathbf{12}$$
🎯 Final Answer: Q13: With replacement $= \mathbf{16}$, Without replacement $= \mathbf{12}$; Q14: $n(S) = \mathbf{12}$.
1. Q13 Sizes With replacement $= 4 \times 4 = \mathbf{16}$, Without replacement $= 4 \times 3 = \mathbf{12}$।
2. Q14 Sample Space $n(S) = 2 \times 6 = \mathbf{12}$ जोड़े बनते हैं।
🎯 final answer: Q13: 16 और 12; Q14: $n(S) = 12$।
End Ex · Q15 Three coins are tossed, and the number of heads is recorded. Which of the following lists is a valid sample space: (i) $\{1, 2, 3\}$, (ii) $\{0, 1, 2\}$, (iii) $\{0, 1, 2, 3, 4\}$, (iv) $\{0, 1, 2, 3\}$? Why do the others fail? [NCERT pp. 172–173] End Ex · Q15 3 सिक्के उछालकर heads की संख्या दर्ज की जाती है। इनमें से कौन सा सही sample space है: (i) $\{1, 2, 3\}$, (ii) $\{0, 1, 2\}$, (iii) $\{0, 1, 2, 3, 4\}$, (iv) $\{0, 1, 2, 3\}$? अन्य विकल्प क्यों गलत हैं? [NCERT pp. 172–173]
1. Exhaustiveness Criterion A valid sample space must cover all mutually exclusive and exhaustive possibilities. In 3 coin tosses, heads can be $0$ (TTT), $1$ (HTT, THT, TTH), $2$ (HHT, HTH, THH), or $3$ (HHH).
2. Evaluation • (i) Missing outcome $0$ heads (not exhaustive).
• (ii) Missing outcome $3$ heads (not exhaustive).
• (iii) Includes $4$ heads, which is impossible with only 3 coins.
• (iv) $\{0, 1, 2, 3\}$ is strictly valid and exhaustive.
🎯 Final Answer: (iv) $\{0, 1, 2, 3\}$ is the only valid sample space.
1. Sample Space rule Sample space में सभी possible outcomes होने चाहिए। 3 सिक्कों में heads की संख्या $0, 1, 2, 3$ हो सकती है।
2. मूल्यांकन (i) में 0 गायब है, (ii) में 3 गायब है, (iii) में अpossible 4 शामिल है। केवल (iv) सही है।
🎯 final answer: केवल (iv) $\{0, 1, 2, 3\}$ सही sample space है।
End Ex · Q16 A die is dropped at random on a rectangular region of length $3\text{ m}$ and width $2\text{ m}$ containing a circular region of diameter $1\text{ m}$ (Figure 7.8). What is the geometric probability that it will land inside the circle? [NCERT p.173] End Ex · Q16 $3\text{ m} \times 2\text{ m}$ आयताकार region जिसके अंदर $1\text{ m}$ व्यास का वृत्ताकार region बना है (Figure 7.8), पर एक पासा गिराया जाता है। पासे के वृत्त के अंदर गिरने की geometric probability find करें। [NCERT p.173]
1. Total Bounding Area $$\text{Area of Rectangle } A_{\text{total}} = 3\text{ m} \times 2\text{ m} = \mathbf{6\text{ m}^2}$$
2. Circular Target Area Diameter $d = 1\text{ m} \implies r = 0.5\text{ m} = \frac{1}{2}\text{ m}$: $$A_{\text{circle}} = \pi r^2 = \pi \left(\frac{1}{2}\right)^2 = \mathbf{\frac{\pi}{4}\text{ m}^2}$$
3. Geometric Probability $$P(\text{Lands in circle}) = \frac{A_{\text{circle}}}{A_{\text{total}}} = \frac{\frac{\pi}{4}}{6} = \mathbf{\frac{\pi}{24} \approx 0.1309 \text{ (or } 13.09\%)}$$
🎯 Final Answer: Probability $= \mathbf{\frac{\pi}{24} \approx 0.131}$.
1. कुल Area Rectangle का Area $= 3 \times 2 = \mathbf{6\text{ m}^2}$।
2. Circle Area Circle का Area $= \pi (0.5)^2 = \mathbf{\frac{\pi}{4}\text{ m}^2}$।
3. Geometric Probability $P = \frac{\pi/4}{6} = \mathbf{\frac{\pi}{24} \approx 0.131}$।
🎯 final answer: Probability $= \mathbf{\frac{\pi}{24} \approx 0.131}$ है।

9. CBSE Board Examination Questions (PYQs) 9. CBSE Board परीक्षा प्रश्न (PYQs)

CBSE 2023 · 1 Mark If the probability of an event $E$ is $P(E) = 0.07$, what is the probability of the complementary event 'not $E$'? [CBSE Class 9/10 Board Standard] CBSE 2023 · 1 Mark यदि किसी घटना $E$ की probability $P(E) = 0.07$ है, तो पूरक घटना 'not $E$' की probability क्या होगी? [CBSE Class 9/10 Board Standard]
1. Complement Rule $$P(E') = 1 - P(E) = 1 - 0.07 = \mathbf{0.93}$$
Marking Scheme:
• [0.5M] Stating complement identity $P(E') = 1 - P(E)$
• [0.5M] Correct arithmetic calculation $0.93$
🎯 Final Answer: $P(\text{not } E) = \mathbf{0.93}$.
1. पूरक rule $P(E') = 1 - P(E) = 1 - 0.07 = \mathbf{0.93}$।
🎯 final answer: $P(\text{not } E) = \mathbf{0.93}$।
CBSE 2022 · 2 Marks A card is drawn at random from a well-shuffled pack of 52 playing cards. Find the probability of getting: (i) a face card, (ii) a red king. [CBSE Board Standard] CBSE 2022 · 2 Marks 52 ताश के पत्तों की अच्छी तरह फेंटी गई गड्डी से एक पत्ता निकाला जाता है। Probability find करें: (i) एक face card, (ii) एक लाल king। [CBSE Board Standard]
1. Part (i) Face Cards In a 52-card deck, face cards are Kings, Queens, Jacks (3 ranks $\times$ 4 suits $= 12$ cards): $$P(\text{Face Card}) = \frac{12}{52} = \mathbf{\frac{3}{13}}$$
2. Part (ii) Red Kings There are 2 red kings (King of Hearts, King of Diamonds): $$P(\text{Red King}) = \frac{2}{52} = \mathbf{\frac{1}{26}}$$
Marking Scheme:
• [1.0M] Face cards identification ($12/52 = 3/13$)
• [1.0M] Red kings identification ($2/52 = 1/26$)
🎯 Final Answer: (i) $\mathbf{\frac{3}{13}}$, (ii) $\mathbf{\frac{1}{26}}$.
1. भाग (i) Face Card कुल 12 face cards $\implies P = \frac{12}{52} = \mathbf{\frac{3}{13}}$।
2. भाग (ii) Red King 2 लाल king $\implies P = \frac{2}{52} = \mathbf{\frac{1}{26}}$।
🎯 final answer: (i) $\mathbf{\frac{3}{13}}$, (ii) $\mathbf{\frac{1}{26}}$।
CBSE 2024 · 3 Marks Two fair dice are rolled simultaneously. Find the probability that: (i) the sum of numbers is at least 10, (ii) the product of numbers is odd, (iii) doublet of even numbers occurs. [CBSE Board Standard] CBSE 2024 · 3 Marks दो निष्पक्ष पासे एक साथ फेंके जाते हैं। Probability find करें कि: (i) अंकों का योग कम से कम 10 हो, (ii) अंकों का गुणनफल विषम हो, (iii) सम संख्याओं का doublet आए। [CBSE Board Standard]
1. Total Outcomes $n(S) = 6 \times 6 = 36$.
2. Part (i) Sum $\ge 10$ Outcomes: $\{(4,6), (5,5), (5,6), (6,4), (6,5), (6,6)\}$ (6 pairs) $\implies P = \frac{6}{36} = \mathbf{\frac{1}{6}}$.
3. Part (ii) Odd Product Product is odd only when both dice are odd (3 odd numbers $\{1, 3, 5\}$ on each die $\implies 3 \times 3 = 9$ pairs) $\implies P = \frac{9}{36} = \mathbf{\frac{1}{4}}$.
4. Part (iii) Even Doublets Outcomes: $\{(2,2), (4,4), (6,6)\}$ (3 pairs) $\implies P = \frac{3}{36} = \mathbf{\frac{1}{12}}$.
Marking Scheme:
• [1.0M] Part (i) listing & $P = 1/6$
• [1.0M] Part (ii) odd product reasoning & $P = 1/4$
• [1.0M] Part (iii) even doublet listing & $P = 1/12$
🎯 Final Answer: (i) $\mathbf{\frac{1}{6}}$, (ii) $\mathbf{\frac{1}{4}}$, (iii) $\mathbf{\frac{1}{12}}$.
1. कुल outcomes $n(S) = 36$।
2. भाग (i) योग $\ge 10$ 6 अनुकूल outcomes $\implies P = \mathbf{\frac{1}{6}}$।
3. भाग (ii) विषम गुणनफल दोनों विषम होने के 9 outcomes $\implies P = \mathbf{\frac{1}{4}}$।
4. भाग (iii) Even Doublet $\{(2,2), (4,4), (6,6)\} \implies P = \mathbf{\frac{1}{12}}$।
🎯 final answer: (i) $\frac{1}{6}$, (ii) $\frac{1}{4}$, (iii) $\frac{1}{12}$।
CBSE 2024 · 4 Marks (Case Study) Quality Control Testing: A semiconductor manufacturing plant tests microchips. In a batch of 500 chips, 475 chips pass standard benchmarks and 25 chips are defective. Among the passing chips, 380 are Grade A and 95 are Grade B. A chip is selected at random from the batch. Find: (i) $P(\text{Defective Chip})$, (ii) $P(\text{Grade A Chip})$, (iii) If a chip is known to be non-defective, find the probability that it is Grade A, (iv) $P(\text{Grade B or Defective Chip})$. [CBSE Class 9/10 Case Study Benchmark] CBSE 2024 · 4 Marks (Case Study) Quality Control Testing: एक प्लांट 500 माइक्रोchips्स के बैच की जांच करता है। 475 chips्स पास होते हैं और 25 खराब (defective) निकलते हैं। पास होने वाले chips्स में 380 Grade A और 95 Grade B हैं। बैच से एक chips चुनी जाती है। Probability find करें: (i) Defective chips, (ii) Grade A chips, (iii) यदि chips non-defective है तो Grade A होने की probability, (iv) Grade B या Defective chips। [CBSE Class 9/10 Case Study Benchmark]
1. Part (i) Defective Chip Total $= 500 \implies P(\text{Defective}) = \frac{25}{500} = \mathbf{\frac{1}{20} = 0.05}$.
2. Part (ii) Grade A Chip $P(\text{Grade A}) = \frac{380}{500} = \mathbf{\frac{19}{25} = 0.76}$.
3. Part (iii) Conditional Non-Defective Sample Reduced sample space of non-defective chips $= 475$: $$P(\text{Grade A} \mid \text{Pass}) = \frac{380}{475} = \mathbf{\frac{4}{5} = 0.80}$$
4. Part (iv) Grade B or Defective Favourable count $= 95 + 25 = 120 \implies P = \frac{120}{500} = \mathbf{\frac{6}{25} = 0.24}$.
Marking Scheme:
• [1.0M] Part (i) $25/500 = 0.05$
• [1.0M] Part (ii) $380/500 = 0.76$
• [1.0M] Part (iii) $380/475 = 0.80$
• [1.0M] Part (iv) $(95+25)/500 = 0.24$
🎯 Final Answer: (i) $\mathbf{0.05}$, (ii) $\mathbf{0.76}$, (iii) $\mathbf{0.80}$, (iv) $\mathbf{0.24}$.
1. भाग (i) Defective $P = \frac{25}{500} = \mathbf{0.05}$।
2. भाग (ii) Grade A $P = \frac{380}{500} = \mathbf{0.76}$।
3. भाग (iii) Pass में से Grade A $P = \frac{380}{475} = \mathbf{0.80}$।
4. भाग (iv) Grade B या Defective $P = \frac{120}{500} = \mathbf{0.24}$।
🎯 final answer: (i) $\mathbf{0.05}$, (ii) $\mathbf{0.76}$, (iii) $\mathbf{0.80}$, (iv) $\mathbf{0.24}$।
CBSE 2023 · 5 Marks A bag contains 24 marbles of which $x$ are red, $2x$ are white, and $3x$ are blue. (i) Find $x$ and the number of marbles of each colour. (ii) If one marble is drawn at random, find the probability that it is: (a) not white, (b) red or blue. (iii) If 6 additional red marbles are added to the bag, find the new probability of drawing a red marble. [CBSE Board Standard] CBSE 2023 · 5 Marks एक बैग में 24 गोलियां हैं जिनमें $x$ लाल, $2x$ सफेद और $3x$ नीली हैं। (i) $x$ और हर रंग की गोलियों की संख्या find करें। (ii) एक गोली निकालने पर probability find करें: (a) सफेद न हो, (b) लाल या नीली हो। (iii) यदि 6 अतिरिक्त लाल गोलियां बैग में डाली जाएं, तो लाल गोली निकलने की नई probability क्या होगी? [CBSE Board Standard]
1. Part (i) Algebraic Solution for $x$ $$x + 2x + 3x = 24 \implies 6x = 24 \implies x = \mathbf{4}$$ • Red marbles $= x = \mathbf{4}$
• White marbles $= 2x = \mathbf{8}$
• Blue marbles $= 3x = \mathbf{12}$
2. Part (ii)(a) Not White $$P(\text{Not White}) = 1 - P(\text{White}) = 1 - \frac{8}{24} = 1 - \frac{1}{3} = \mathbf{\frac{2}{3}}$$
3. Part (ii)(b) Red or Blue $$P(\text{Red or Blue}) = \frac{4 + 12}{24} = \frac{16}{24} = \mathbf{\frac{2}{3}}$$
4. Part (iii) Adding 6 Red Marbles • New red count $= 4 + 6 = 10$
• New total count $= 24 + 6 = 30$
• New probability $P(\text{Red}) = \frac{10}{30} = \mathbf{\frac{1}{3} \approx 0.333}$
Marking Scheme:
• [1.5M] Solving $6x = 24 \implies x=4$ and listing counts $(4, 8, 12)$
• [1.0M] Part (ii)(a) $P = 2/3$
• [1.0M] Part (ii)(b) $P = 2/3$
• [1.5M] Updating counts to $10/30 = 1/3$ for part (iii)
🎯 Final Answer: (i) $x = 4$ (Red: $4$, White: $8$, Blue: $12$); (ii)(a) $\mathbf{\frac{2}{3}}$, (ii)(b) $\mathbf{\frac{2}{3}}$; (iii) New $P(\text{Red}) = \mathbf{\frac{1}{3}}$.
1. भाग (i) $x$ का मान $6x = 24 \implies x = \mathbf{4}$ (Red: $4$, White: $8$, Blue: $12$)।
2. भाग (ii)(a) सफेद नहीं $P = 1 - \frac{8}{24} = \mathbf{\frac{2}{3}}$।
3. भाग (ii)(b) लाल या नीली $P = \frac{16}{24} = \mathbf{\frac{2}{3}}$।
4. भाग (iii) 6 लाल जोड़ने पर नया Red $= 10$, नया कुल $= 30 \implies P = \frac{10}{30} = \mathbf{\frac{1}{3}}$।
🎯 final answer: (i) $x = 4$; (ii)(a) $\mathbf{\frac{2}{3}}$, (ii)(b) $\mathbf{\frac{2}{3}}$; (iii) $\mathbf{\frac{1}{3}}$।