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O Level Elementary Mathematics Statistics Probability Quiz

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O Level Elementary Mathematics AI Generated Generated by DeepSeek V4 Pro Updated 2026-08-17

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O-Level Elementary Mathematics Quiz - Statistics Probability

ANSWER KEY AND MARKING SCHEME

Total Marks: 50


Section A: Data Handling and Analysis (20 marks)

1. Stem-and-leaf diagram

(a) Median = 17 hours [1]
Arrange in order: 5, 8, 10, 12, 12, 15, 17, 19, 21, 23, 24, 24, 28, 30, 36. The 8th value is 17.

(b) Range = 36 − 5 = 31 hours [1]

(c) Q1 = 12, Q3 = 24. IQR = 24 − 12 = 12. [1]
Upper fence = Q3 + 1.5 × IQR = 24 + 1.5(12) = 42. [1]
Since 28 < 42, 28 is not an outlier. [1]
Accept alternative reasoning using lower/upper boundaries.


2. Frequency table – books read

(a) Mode = 2 books [1]

(b) Mean = Σfx / Σf
Σfx = (0×6) + (1×8) + (2×12) + (3×9) + (4×4) + (5×2) = 0 + 8 + 24 + 27 + 16 + 10 = 85 [1]
Mean = 85 / 40 = 2.125 ≈ 2.13 books [1]

(c) P(more than 3) = (4 + 2) / 40 = 6/40 = 3/20 or 0.15 [1]


3. Seedling heights

(a) Mean = (12.3 + 14.1 + 11.8 + 15.6 + 13.2 + 14.8 + 12.9 + 15.1 + 13.7 + 14.4) / 10
= 137.9 / 10 = 13.79 cm [1]

(b) Using calculator: Σx = 137.9, Σx² = 1915.65
SD = √[1915.65/10 − (137.9/10)²] = √[191.565 − 190.1641] = √1.4009 ≈ 1.18 cm [2]
Award 1 mark for correct method, 1 mark for correct answer.

(c) The mean will increase because 18.2 is above the current mean. [1]
The standard deviation will increase because 18.2 is far from the mean, increasing the spread. [1]


4. Cumulative frequency graph

(a) Median ≈ 55 marks (from graph at cumulative frequency 40) [1]

(b) Q1 ≈ 40 (at cumulative frequency 20) [1]
Q3 ≈ 68 (at cumulative frequency 60) [1]
IQR = 68 − 40 = 28 marks [1]
Accept values within ±2 of these estimates.

(c) Cumulative frequency at 70 marks ≈ 63. [1]
Number above 70 = 80 − 63 = 17 students. [1]


5. Box-and-whisker plots

(a) The median for English is 58; the median for Mathematics is 62. Mathematics has a higher median mark. [1]

(b) Mathematics shows greater consistency. [1]
The IQR for Mathematics (75 − 48 = 27) is smaller than the IQR for English (72 − 45 = 27). Wait – they appear equal. Accept either: "Both have similar IQR, but Mathematics has a smaller range (92 − 30 = 62 vs 88 − 25 = 63), so Mathematics is slightly more consistent" OR "English has a smaller range (63 vs 62) so English is slightly more consistent." Award mark for correct identification with valid justification. [1]

(c) The top 25% corresponds to Q3 = 75 marks. [1]


6. Pie chart – allowance

(a) Food amount = (144°/360°) × 400=0.4×400 = 0.4 × 400 = $160 [1]

(b) Transport percentage = (72°/360°) × 100% = 20% [1]

(c) Current Savings = (90°/360°) × 400=400 = 100.
New Savings = 100×1.2=100 × 1.2 = 120. [1]
New angle = (120/120/400) × 360° = 108°. [1]


7. Grouped frequency – parcel masses

(a) Modal class = 4 < m ≤ 6 [1]

(b) Midpoints: 1, 3, 5, 7, 9
Σfx = (6×1) + (14×3) + (18×5) + (8×7) + (4×9) = 6 + 42 + 90 + 56 + 36 = 230 [1]
Mean = 230 / 50 = 4.6 kg [1]

(c) It is an estimate because the actual individual masses within each class are unknown; the midpoint is used to represent all values in the class. [1]


8. Histogram

(a) Frequency density = Frequency / Class width = 18 / 2 = 9 [1]

(b) For 2 < m ≤ 4: Frequency = 14, Class width = 2.
Frequency density = 14 / 2 = 7. [1]
Height = 7 cm (since 1 unit of frequency density = 1 cm). [1]

(c) The area of each bar represents the frequency of that class. [1]


Section B: Probability (20 marks)

9. Fair die

(a) Prime numbers on a die: 2, 3, 5. P(prime) = 3/6 = 1/2 [1]

(b) Numbers > 2: 3, 4, 5, 6. P(>2) = 4/6 = 2/3 [1]

(c) Even numbers: 2, 4, 6. Multiples of 3: 3, 6.
Even or multiple of 3: {2, 3, 4, 6}. [1]
P(even or multiple of 3) = 4/6 = 2/3 [1]


10. Tree diagram – with replacement

(a) Tree diagram: [2]

  • First draw: R (5/10), B (3/10), G (2/10)
  • Second draw from each: same probabilities (with replacement)
    Award 1 mark for correct first branches, 1 mark for correct second branches with probabilities.

(b) P(same colour) = P(RR) + P(BB) + P(GG)
= (5/10 × 5/10) + (3/10 × 3/10) + (2/10 × 2/10) [1]
= 25/100 + 9/100 + 4/100 = 38/100 = 19/50 or 0.38 [1]


11. Playing cards

(a) P(King) = 4/52 = 1/13 [1]

(b) P(Red or Queen) = P(Red) + P(Queen) − P(Red Queen)
= 26/52 + 4/52 − 2/52 [1]
= 28/52 = 7/13 [1]


12. Tree diagram – conditional probability

(a) Tree diagram: [2]

  • First branch: Rain (0.3), Dry (0.7)
  • Second branch from Rain: Cycle (0.2), Not cycle (0.8)
  • Second branch from Dry: Cycle (0.8), Not cycle (0.2)
    Award 1 mark for correct first branches, 1 mark for correct second branches with probabilities.

(b) P(Cycle) = P(Rain ∩ Cycle) + P(Dry ∩ Cycle)
= (0.3 × 0.2) + (0.7 × 0.8) [1]
= 0.06 + 0.56 = 0.62 [1]

(c) P(Rain | Cycle) = P(Rain ∩ Cycle) / P(Cycle)
= 0.06 / 0.62 [1]
= 6/62 = 3/31 ≈ 0.0968 [1]


13. Tree diagram – without replacement

(a) Tree diagram: [2]

  • First draw: Black (4/10), Blue (6/10)
  • Second draw from Black: Black (3/9), Blue (6/9)
  • Second draw from Blue: Black (4/9), Blue (5/9)
    Award 1 mark for correct first branches, 1 mark for correct second branches with adjusted probabilities.

(b) P(different colours) = P(Black then Blue) + P(Blue then Black)
= (4/10 × 6/9) + (6/10 × 4/9) [1]
= 24/90 + 24/90 = 48/90 = 8/15 [1]


14. Probability laws

(a) P(A ∪ B) = P(A) + P(B) − P(A ∩ B)
0.7 = 0.4 + 0.5 − P(A ∩ B)
P(A ∩ B) = 0.9 − 0.7 = 0.2 [1]

(b) Not mutually exclusive, because P(A ∩ B) = 0.2 ≠ 0. [1]

(c) For independence: P(A) × P(B) = 0.4 × 0.5 = 0.2 [1]
Since P(A ∩ B) = 0.2 = P(A) × P(B), events A and B are independent. [1]


15. Possibility diagram

(a) Possibility diagram (spinner × coin): [2]

Spinner \ CoinHead (H)Tail (T)
1(1, H)(1, T)
2(2, H)(2, T)
3(3, H)(3, T)
4(4, H)(4, T)
5(5, H)(5, T)

Total outcomes = 10.
Award 1 mark for listing all outcomes, 1 mark for clear organisation.

(b) Even numbers: 2, 4. P(even and Head) = 2/10 = 1/5 [1]

(c) Sum = spinner number + (1 if Head, 0 if Tail).
Outcomes with sum > 4: (4,H)=5, (5,H)=6, (5,T)=5. [1]
P(sum > 4) = 3/10 [1]


Section C: Real-World Application (10 marks)

16. Transport survey

(a) MRT angle = (50/200) × 360° = 90° [1]

(b) P(not Car) = (200 − 40)/200 = 160/200 = 4/5 or 0.8 [1]


17. Defective bulbs

(a) P(none defective) = (0.95)³ = 0.857375 ≈ 0.857 [1]

(b) P(at least one defective) = 1 − P(none defective) = 1 − 0.857375 = 0.142625 ≈ 0.143 [1]


18. Normal distribution

(a) 40 cm to 50 cm is within ±1 standard deviation of the mean.
Approximately 68% of plants. [1]
Number of plants ≈ 0.68 × 100 = 68 plants. [1]
Note: Question asks for "approximately how many", so 68 is acceptable.

(b) 35 cm is 2 standard deviations below the mean.
Approximately 2.5% of data lies below μ − 2σ.
P(height < 35) ≈ 0.025 or 2.5%. [1]


19. Carnival game

(a) Probability distribution table for net gain:

MarbleProbabilityWinningsCostNet Gain
Gold2/10 = 0.2$10$2+$8
Silver5/10 = 0.5$3$2+$1
Bronze3/10 = 0.3$0$2−$2

[2] Award 1 mark for correct probabilities, 1 mark for correct net gains.

(b) Expected net gain = (0.2 × 8) + (0.5 × 1) + (0.3 × (−2))
= 1.6 + 0.5 − 0.6 = $1.50 [1]

(c) The game is not fair because the expected net gain is positive (1.50),meaningtheplayergainsonaverage.Afairgamewouldhaveanexpectednetgainof1.50), meaning the player gains on average. A fair game would have an expected net gain of 0. [1]


20. Comparing class performance

(a) Class B has a higher mean (72 vs 68), so on average Class B performed better. [1]

(b) For Class A: z-score = (80 − 68) / 12 = 1.0 [1]
For Class B: z-score = (80 − 72) / 8 = 1.0 [1]
Both students performed equally well relative to their respective classes, as they both scored exactly 1 standard deviation above their class mean. [1]
Note: Accept reasoning that both are 1 SD above mean, so relative performance is equivalent.


END OF ANSWER KEY