1. To achieve balance on a seesaw, the principle of moments applies, meaning load multiplied by load arm equals effort multiplied by effort arm. The adult exerts double the downward force of the child. Therefore, to balance the turning effects, the adult sits at a distance d from the central fulcrum, wRead more

    To achieve balance on a seesaw, the principle of moments applies, meaning load multiplied by load arm equals effort multiplied by effort arm. The adult exerts double the downward force of the child. Therefore, to balance the turning effects, the adult sits at a distance d from the central fulcrum, while the child sits on the opposite side at a distance 2d from the fulcrum.

     

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  2. Area of the rectangular region = length x breadth = 3 m x 2 m = 6 m². For the circular region, diameter = 1 m, so radius r = 1/2 m = 0.5 m. Area of the circle = π x r² = π x (1/2)² = π / 4 m² (or approximately 3.1416 / 4 = 0.7854 m²). Probability of landing inside the circle: P = Area of circle / ToRead more

    Area of the rectangular region = length x breadth = 3 m x 2 m = 6 m².

    For the circular region, diameter = 1 m, so radius r = 1/2 m = 0.5 m.

    Area of the circle = π x r² = π x (1/2)² = π / 4 m² (or approximately 3.1416 / 4 = 0.7854 m²).

    Probability of landing inside the circle:

    P = Area of circle / Total area of rectangle

    P = (π / 4) / 6 = π / 24 (approximately 0.131 or 13.1%).

     

    For more NCERT Solutions of Class 9 Ganita Manjari Chapter 7 The Mathematics of Maybe: Introduction to Probability Question Answer (2026-27)

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  3. The correct sample space is (iv) {0, 1, 2, 3}. When tossing three coins, the number of heads can be 0 (TTT), 1 (HTT, THT, TTH), 2 (HHT, HTH, THH) or 3 (HHH). Why the others fail: (i) {1, 2, 3} fails because it misses 0 heads. (ii) {0, 1, 2} fails because it misses 3 heads. (iii) {0, 1, 2, 3, 4} failRead more

    The correct sample space is (iv) {0, 1, 2, 3}.

    When tossing three coins, the number of heads can be 0 (TTT), 1 (HTT, THT, TTH), 2 (HHT, HTH, THH) or 3 (HHH).

    Why the others fail:

    (i) {1, 2, 3} fails because it misses 0 heads.

    (ii) {0, 1, 2} fails because it misses 3 heads.

    (iii) {0, 1, 2, 3, 4} fails because getting 4 heads from 3 coins is impossible.

     

    For more NCERT Solutions of Class 9 Ganita Manjari Chapter 7 The Mathematics of Maybe: Introduction to Probability Question Answer (2026-27)

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  4. The experiment involves two simultaneous random actions: Tossing a coin gives 2 possible outcomes: Heads (H) or Tails (T). Drawing a card from numbers 1 to 6 gives 6 possible outcomes: {1, 2, 3, 4, 5, 6}. Combining each coin outcome with each card number gives a sample space with 2 x 6 = 12 elementsRead more

    The experiment involves two simultaneous random actions:

    1. Tossing a coin gives 2 possible outcomes: Heads (H) or Tails (T).
    2. Drawing a card from numbers 1 to 6 gives 6 possible outcomes: {1, 2, 3, 4, 5, 6}. Combining each coin outcome with each card number gives a sample space with 2 x 6 = 12 elements: 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)}.

     

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  5. (i) With replacement: First draw branches to 1, 2, 3, 4. Each branches to 1, 2, 3, 4. S1 = {(1,1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (2,4), (3,1), (3,2), (3,3), (3,4), (4,1), (4,2), (4,3), (4,4)}. (ii) Without replacement: First draw branches to 1, 2, 3, 4. Each branches to remaining 3 numbeRead more

    (i) With replacement: First draw branches to 1, 2, 3, 4. Each branches to 1, 2, 3, 4.

    S1 = {(1,1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (2,4), (3,1), (3,2), (3,3), (3,4), (4,1), (4,2), (4,3), (4,4)}.

    (ii) Without replacement: First draw branches to 1, 2, 3, 4. Each branches to remaining 3 numbers.

    S2 = {(1,2), (1,3), (1,4), (2,1), (2,3), (2,4), (3,1), (3,2), (3,4), (4,1), (4,2), (4,3)}.

    (iii) Size of first sample space = 4 x 4 = 16. Size of second sample space = 4 x 3 = 12.

     

    For more NCERT Solutions of Class 9 Ganita Manjari Chapter 7 The Mathematics of Maybe: Introduction to Probability Question Answer (2026-27)

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