Answers
| Shirt | Pants | Outfit |
|---|---|---|
| R | J | RJ |
| R | K | RK |
| R | S | RS |
| B | J | BJ |
| B | K | BK |
| B | S | BS |
| There are 6 possible combinations. | ||
| 6. (i) Let S represent Snacks and D represent Drinks. | ||
| Snacks: Samosa (Sa), Pakora (P), Bhaji (B) | ||
| Drinks: Chai (C), Lassi (L) | ||
| Sample space: {(Sa, C), (Sa, L), (P, C), (P, L), (B, C), (B, L)}. There are 6 combinations. | ||
| (ii) Event ‘Selecting Samosa as a snack.’ = {(Sa, C), (Sa, L)}. | ||
| 7. Sample space for tossing three coins: {HHH, HHT, HTH, THH, HTT, THT, TTH, TTT}. Total 8 outcomes. | ||
| Favourable outcomes (exactly two heads): {HHT, HTH, THH}. There are 3 favourable outcomes. | ||
| Probability = 3/8. | ||
| 8. The word ‘PEACE’ has 5 letters: P, E, A, C, E. | ||
| Total number of letters = 5. | ||
| (i) Favourable outcomes (P, E, or C): P, E, A, C, E. The letters are P, E, A, C, E. The unique letters are P, E, A, C. The favourable outcomes are P, E, A, C, E. | ||
| The letters are P, E, A, C, E. So there are 5 letters. | ||
| The letters that are P, E, or C are: P, E, C, E. There are 4 such letters. | ||
| Probability (P, E, or C) = 4/5. | ||
| (ii) Number of E's = 2. Probability of picking an E = 2/5. | ||
| Probability of not picking an E = 1 - P(E) = 1 - 2/5 = 3/5. | ||
| 9. Total number of cases = 1000. | ||
| (i) Number of tyres lasting less than 4000 km = 20. | ||
| Probability = 20/1000 = 2/100 = 1/50. | ||
| (ii) Number of tyres lasting between 4000 and 14000 km = (Number of tyres from 4001 to 9000) + (Number of tyres from 9001 to 14000) = 210 + 325 = 535. | ||
| Probability = 535/1000 = 107/200. | ||
| (iii) Number of tyres lasting more than 14000 km = 445. | ||
| Probability = 445/1000 = 89/200. | ||
| 10. Total number of outcomes = 8. | ||
| (i) The outcome is 8. P(8) = 1/8. | ||
| (ii) Odd numbers are 1, 3, 5, 7. There are 4 odd numbers. P(Odd number) = 4/8 = 1/2. | ||
| (iii) Numbers greater than 2 are 3, 4, 5, 6, 7, 8. There are 6 such numbers. P(Number > 2) = 6/8 = 3/4. | ||
| (iv) Numbers less than 9 are 1, 2, 3, 4, 5, 6, 7, 8. There are 8 such numbers. P(Number < 9) = 8/8 = 1. | ||
| (v) Multiples of 3 are 3, 6. There are 2 such numbers. P(Multiple of 3) = 2/8 = 1/4. | ||
| 11. Total number of students in the sample = 40. | ||
| (i) Number of students who prefer the Arts Club = 11. | ||
| Probability (Arts Club) = 11/40. | ||
| (ii) Total number of students in the school = 800. | ||
| Estimated number of students who prefer the Sports Club = (Number of students in sample who prefer Sports Club / Total students in sample) * Total students in school | ||
| = (9/40) * 800 = 9 * 20 = 180 students. | ||
| 12. Total number of sweets in the sample = 30. | ||
| (i) Number of green sweets = 8. | ||
| Probability (Green) = 8/30 = 4/15. | ||
| (ii) Total number of sweets in the bag = 600. | ||
| Number of yellow sweets in the sample = 7. | ||
| Estimated number of yellow sweets in the bag = (Number of yellow sweets in sample / Total sweets in sample) * Total sweets in bag | ||
| = (7/30) * 600 = 7 * 20 = 140 sweets. | ||
| 13. (i) Number of times a ‘3’ was rolled = 3. | ||
| Total number of trials = 12. | ||
| Experimental probability of rolling a ‘3’ = 3/12 = 1/4. | ||
| (ii) Theoretical probability of rolling a ‘3’ on a fair 6-sided die = 1/6. | ||
| (iii) These probabilities might be different because the number of trials (12) is relatively small. With a small number of trials, experimental results can deviate from theoretical probabilities due to random chance. | ||
| As the number of trials increases (60, 600, 6000), the experimental probability would be expected to get closer and closer to the theoretical probability of 1/6, according to the Law of Large Numbers. | ||
| 14. Sample space for tossing two coins: {HH, HT, TH, TT}. Total 4 outcomes. | ||
| Favourable outcomes (at least one head): {HH, HT, TH}. There are 3 favourable outcomes. | ||
| Probability (at least one head) = 3/4. | ||
| 15. (i) Tree Diagram: | ||
| Basket A (Apple, Orange, Orange) | ||
| Basket B (Banana, Mango) | ||
| Possible outcomes: | ||
| A1 B1 (Apple, Banana) | ||
| A1 B2 (Apple, Mango) | ||
| A2 B1 (Orange, Banana) | ||
| A2 B2 (Orange, Mango) | ||
| A3 B1 (Orange, Banana) | ||
| A3 B2 (Orange, Mango) | ||
| Sample space: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 6 possible pairs. | ||
| (ii) List of pairs: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 6 distinct pairs. Note: (Orange, Banana) appears twice, and (Orange, Mango) appears twice due to two oranges in Basket A. | ||
| (iii) Probability of picking one apple and one banana: | ||
| There is 1 way to pick an apple from A and 1 way to pick a banana from B. So, 1 favourable outcome (Apple, Banana). | ||
| Total possible outcomes = 2 (from A) * 2 (from B) = 4 if we considered types of fruit. | ||
| However, if we consider individual fruits: | ||
| Basket A: A1 (Apple), A2 (Orange), A3 (Orange) | ||
| Basket B: B1 (Banana), B2 (Mango) | ||
| Possible pairs: (A1, B1), (A1, B2), (A2, B1), (A2, B2), (A3, B1), (A3, B2). Total 6 outcomes. | ||
| Favourable outcome (Apple, Banana): (A1, B1). There is 1 such outcome. | ||
| Probability (Apple and Banana) = 1/6. |
Correction for question 15 based on expected interpretation for a 2-mark question for each part:
Let's assume the question means picking one fruit from each basket.
Basket A has 1 Apple and 2 Oranges (Total 3 fruits).
Basket B has 1 Banana and 1 Mango (Total 2 fruits).
(i) Tree Diagram:
From Basket A: Apple (1/3), Orange (2/3)
From Basket B: Banana (1/2), Mango (1/2)
Outcomes:
Apple and Banana: P = (1/3) * (1/2) = 1/6
Apple and Mango: P = (1/3) * (1/2) = 1/6
Orange and Banana: P = (2/3) * (1/2) = 2/6 = 1/3
Orange and Mango: P = (2/3) * (1/2) = 2/6 = 1/3
(ii) Sample Space: {(Apple, Banana), (Apple, Mango), (Orange, Banana), (Orange, Mango)}. There are 4 distinct types of outcomes.
(iii) Probability of picking one apple and one banana = 1/6.
(i) A ball is drawn, recorded, returned, and a second ball is drawn.
Let the numbers be 1, 2, 3, 4.
Possible outcomes for the first draw: {1, 2, 3, 4} (4 outcomes)
Possible outcomes for the second draw: {1, 2, 3, 4} (4 outcomes)
Sample space size = 4 * 4 = 16.
Tree diagram would branch out 4 times from the start, and then each of those would branch out 4 times again.
(ii) A ball is drawn, recorded. Without replacing, a second ball is drawn.
Possible outcomes for the first draw: {1, 2, 3, 4} (4 outcomes)
If the first ball drawn was '1', the second draw can be from {2, 3, 4} (3 outcomes).
This applies for each of the first 4 draws.
Sample space size = 4 * 3 = 12.
(Example: (1,2), (1,3), (1,4), (2,1), (2,3), (2,4), etc.)
Tree diagram would branch out 4 times from the start, and then each of those would branch out 3 times.
(i) Probability of drawing a red ball first, then a blue ball.
P(1st Red) = 4/9.
After drawing one red ball, there are 3 red balls and 5 blue balls left (total 8 balls).
P(2nd Blue | 1st Red) = 5/8.
P(1st Red and 2nd Blue) = P(1st Red) * P(2nd Blue | 1st Red) = (4/9) * (5/8) = 20/72 = 5/18.
(ii) Probability of drawing 2 blue balls.
P(1st Blue) = 5/9.
After drawing one blue ball, there are 4 red balls and 4 blue balls left (total 8 balls).
P(2nd Blue | 1st Blue) = 4/8 = 1/2.
P(1st Blue and 2nd Blue) = P(1st Blue) * P(2nd Blue | 1st Blue) = (5/9) * (4/8) = 20/72 = 5/18.
- No heads (TTT)
- One head (HTT, THT, TTH)
- Two heads (HHT, HTH, THH)
- Three heads (HHH)
The number of heads can be 0, 1, 2, or 3.
List (iv) {0, 1, 2, 3} is the correct sample space because it lists all possible numbers of heads and each value represents a distinct outcome. - List (i) {1, 2, 3} fails because it omits the possibility of getting 0 heads.
- List (ii) {0, 1, 2} fails because it omits the possibility of getting 3 heads.
- List (iii) {0, 1, 2, 3, 4} fails because it includes 4, which is impossible when tossing only three coins.
Self-correction: The diagram shows a rectangle with one side labelled '2 m'. The other side is not explicitly labelled but appears to be the same length as the diameter of the circle inside, which is 1 m. So, let's assume the rectangle is 2 m by 1 m.
Area of the rectangular region = Length × Width = 2 m × 1 m = 2 m².
The circle has a diameter of 1 m, so its radius is 0.5 m.
Area of the circle = .
The probability that the die will land inside the circle is:
P(inside circle) = Area of circle / Area of rectangle
P(inside circle) =
P(inside circle) = .
Using :
P(inside circle) .