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Secondary 3 Geography Practice Paper 2
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TuitionGoWhere Practice Paper - Geography Secondary 3
Answer Key and Marking Scheme (Version 2)
Subject: Geography
Level: Secondary 3
Topic: Map, Graph, and Data Skills
Section A: Map Skills and Spatial Analysis
1. Calculate the actual ground distance in kilometres between Point A and Point B.
- Working:
- Map Distance = 4 cm
- Scale = 1:25,000
- Actual Distance (cm) = 4 cm × 25,000 = 100,000 cm
- Convert to km: 100,000 ÷ 100,000 = 1 km
- Answer: 1 km
- Marks: [2] (1 mark for correct calculation/working, 1 mark for correct unit and value)
2. Describe the relief characteristics of the area surrounding Point B.
- Answer:
- Point B is at a higher elevation (50m) compared to Point A (20m).
- The contour lines are likely closer together near Point B if it is a slope, indicating steeper terrain, or it represents a hill/ridge. Given the elevation rise over a short distance, it is likely a slope or hill.
- Marks: [2] (1 mark for identifying higher elevation, 1 mark for inferring slope/steepness or hill feature)
3. Explain why Grid Ref 123456 (Point A) might be a more suitable location for a weather station than a steep slope near Point B.
- Answer:
- Accessibility: Point A is at a lower elevation and likely flatter terrain, making it easier and safer for students to access regularly to read instruments.
- Safety/Stability: Steep slopes (Point B) pose safety risks and may have unstable ground, making it difficult to secure equipment.
- Marks: [2] (1 mark for accessibility/flatness, 1 mark for safety/stability)
4. Define the term scale in the context of geographical maps.
- Answer: Scale is the ratio between the distance on the map and the corresponding actual distance on the ground.
- Marks: [1]
5. If the map scale was changed from 1:25,000 to 1:50,000, would the map show more or less detail? Explain.
- Answer:
- It would show less detail.
- Explanation: A 1:50,000 scale is a "smaller" scale (covers a larger area per unit of map space) compared to 1:25,000. Therefore, features must be generalized or omitted to fit the same map size, resulting in less detail.
- Marks: [3] (1 mark for "less detail", 2 marks for explanation linking scale ratio to area coverage/generalization)
Section B: Graph Interpretation and Climate Data
6. Calculate the annual temperature range for City X.
- Working:
- Highest Temp: 29°C (Apr/May)
- Lowest Temp: 27°C (Jan/Jul/Aug/Sep/Oct/Nov/Dec)
- Range = 29 - 27 = 2°C
- Answer: 2°C
- Marks: [1]
7. Calculate the total annual rainfall for City X.
- Working:
- Sum = 250+200+180+160+140+120+100+110+130+180+220+260
- Sum = 2050 mm
- Answer: 2050 mm
- Marks: [2] (1 mark for working/attempt, 1 mark for correct answer)
8. Describe the rainfall pattern of City X throughout the year.
- Answer:
- Rainfall is high throughout the year (no dry month below 100mm).
- There is a slight dip in the middle of the year (June/July) with the lowest rainfall in July (100mm).
- Rainfall peaks at the beginning and end of the year (Jan/Dec > 250mm).
- Overall, it is evenly distributed but with a bimodal tendency or slight mid-year minimum.
- Marks: [4] (1 mark for "high year-round", 1 mark for identifying mid-year dip, 1 mark for identifying peaks, 1 mark for overall characterization e.g., "no distinct dry season")
9. Identify the likely climate type of City X and give one reason.
- Answer:
- Type: Equatorial / Tropical Rainforest Climate.
- Reason: High annual rainfall (>2000mm) and low annual temperature range (<2°C), with temperatures consistently high (>25°C).
- Marks: [2] (1 mark for correct climate type, 1 mark for valid reason linked to data)
10. Describe the trend in tourist arrivals between 2010 and 2019.
- Answer:
- There was a steady/consistent increase in tourist arrivals.
- Arrivals grew from 1 million to 5 million over the 9-year period.
- Marks: [2] (1 mark for direction of trend "increase", 1 mark for referencing data magnitude)
11. Suggest one possible geographical or global event that could explain the sharp drop in 2020.
- Answer:
- The COVID-19 Pandemic / Global Health Crisis leading to travel restrictions.
- Marks: [1]
12. Explain why line graphs are suitable for displaying data over time.
- Answer:
- Line graphs clearly show trends and changes over a continuous period.
- They allow for easy visualization of increases, decreases, or fluctuations between data points.
- Marks: [2] (1 mark for mentioning trends/changes, 1 mark for continuity/visualization)
Section C: Statistical Analysis and Fieldwork Data
13. Which zone has the highest environmental quality?
- Answer: Zone B (Residential)
- Marks: [1]
14. Calculate the mean EQS score for all three zones combined.
- Working:
- Sum of scores = 18 + 22 + 12 = 52
- Number of zones = 3
- Mean = 52 / 3 = 17.33
- Answer: 17.3 (or 17.33)
- Marks: [2] (1 mark for working, 1 mark for correct answer)
15. Describe three essential features for a correct bar chart.
- Answer:
- Title: A clear title describing the data (e.g., "Car Counts in Different Zones").
- Labels: Both x-axis (Zones) and y-axis (Number of Cars) must be labeled with units.
- Scale: The y-axis must have a consistent and appropriate numerical scale.
- (Alternative: Bars must be of equal width and separated by gaps).
- Marks: [3] (1 mark per valid feature)
16. Explain why random sampling might be difficult in the CBD (Zone A).
- Answer:
- The CBD has very high pedestrian traffic and congestion, making it physically difficult to stop people randomly or access certain spots safely.
- Time constraints may force students to use convenience sampling (whoever is nearest) rather than true random selection.
- Marks: [2] (1 mark for identifying difficulty e.g., congestion/safety, 1 mark for linking to sampling method compromise)
17. Explain how calculating the range helps understand variation in Zone C.
- Answer:
- The mean only gives the average, hiding extreme values.
- The range (Highest Score - Lowest Score) shows the spread or disparity in environmental quality within the zone. A large range indicates inconsistency (some areas very good, some very bad), which the mean might mask.
- Marks: [2] (1 mark for defining range/spread, 1 mark for explaining why it reveals inconsistency/variation)
18. Identify one potential source of human error in collecting EQS data.
- Answer:
- Subjectivity/Bias: Different students may interpret "litter" or "noise" differently (e.g., one student thinks 3 cars is noisy, another thinks it is quiet).
- Marks: [1]
19. Suggest one way to improve the reliability of the EQS data.
- Answer:
- Repeat surveys: Conduct the survey at different times of the day or on different days and calculate an average.
- Multiple observers: Have multiple students score the same location and average their scores to reduce individual bias.
- Marks: [2] (1 mark for strategy, 1 mark for explanation of how it improves reliability)
20. Conclude: Is there a clear relationship between land use and environmental quality? Justify.
- Answer:
- Yes/Partially: There is a relationship.
- Justification: The Residential zone (B) has the highest score (22), suggesting quieter, cleaner environments. The Industrial zone (C) has the lowest (12), likely due to pollution/litter. The CBD (A) is intermediate (18), possibly due to high maintenance but also high traffic. The data supports the hypothesis that land use influences environmental quality.
- Marks: [3] (1 mark for conclusion, 2 marks for justification using specific data comparisons from Table 1)